diff options
Diffstat (limited to 'examples')
164 files changed, 23428 insertions, 14747 deletions
diff --git a/examples/application/CMakeLists.txt b/examples/application/CMakeLists.txt new file mode 100644 index 0000000..3ec0869 --- /dev/null +++ b/examples/application/CMakeLists.txt @@ -0,0 +1,140 @@ +cmake_minimum_required(VERSION 2.8.8) + +project(FuzzyLiteDemo CXX) + +#Some default policies and variables +if (APPLE) + cmake_policy(SET CMP0042 NEW) +endif() +if (MSVC) + cmake_policy(SET CMP0054 NEW) +endif() + +if(NOT CMAKE_VERBOSE_MAKEFILE) + set(CMAKE_VERBOSE_MAKEFILE false) +endif() + +if( NOT CMAKE_BUILD_TYPE ) + set( CMAKE_BUILD_TYPE Release CACHE STRING "Choose the type of build, options are: None Debug Release RelWithDebInfo +MinSizeRel." FORCE ) +endif() + +option(FL_BACKTRACE "Provide backtrace information in case of errors" ON) +option(FL_STATIC "Statically link to fuzzylite libraries" ON) + +set(BacktraceLibrary) + +if (MSVC AND FL_BACKTRACE) + set(BacktraceLibrary dbghelp) +endif() + +if (CMAKE_BUILD_TYPE MATCHES Debug) + set(FL_DEBUG ON) +else() + set(FL_DEBUG OFF) +endif() + + +set(FL_SYSTEM_LIBRARY FALSE) #Finds the library installed in the system +set(FL_LIBRARY_DIR) + +if (NOT FL_SYSTEM_LIBRARY) + #it is possible to find the FuzzyLiteLibrary locally as follows, + #assuming the submodule of fuzzylite is added to the ${PROJECT_SOURCE_DIR}: + set(FL_HOME ${PROJECT_SOURCE_DIR}/../../fuzzylite/) + set(FL_INCLUDE_DIR ${FL_HOME}) + if (FL_DEBUG) + set(FL_LIBRARY_DIR ${FL_HOME}/debug/bin) + else() + set(FL_LIBRARY_DIR ${FL_HOME}/release/bin) + endif() + message("Finding FuzzyLiteLibrary locally at ${FL_LIBRARY_DIR}") + + include_directories(${FL_INCLUDE_DIR}) +endif() + +set(FL_POSTFIX) +if (FL_STATIC) + set(FL_POSTFIX "-static") +endif() +if (FL_DEBUG) + set(FL_POSTFIX "${FL_POSTFIX}-debug") +endif() + +set(FL_LIBRARY_NAME fuzzylite${FL_POSTFIX}) +find_library (FuzzyLiteLibrary ${FL_LIBRARY_NAME} HINTS ${FL_LIBRARY_DIR}) + +if (MSVC AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 19) +#C++11 not available before Visual Studio 2015 + if (NOT FL_CPP98) + set(FL_CPP98 ON) + endif() +endif() + + +#if building using C++98 +if(FL_CPP98) + add_definitions(-DFL_CPP98) + if(NOT MSVC) + #Set C++98 by default in Clang and others + add_definitions(-std=c++98) + endif() +else() + if(NOT MSVC) + #Set C++11 by default in Clang and others + add_definitions(-std=c++11) + endif() +endif(FL_CPP98) + +#we add the definition of the building path to remove it when using macro FL_LOG +add_definitions(-DFL_BUILD_PATH="${CMAKE_SOURCE_DIR}") #used to determine +#we add the sources +set(sources src/main.cpp) + + + +if(MSVC) +#Set compilation flags in Windows + set(CMAKE_CXX_FLAGS "/W4 /EHsc") + #Wx: Treat warnings as errors. W4: All warnings + #http://msdn.microsoft.com/en-us/library/thxezb7y.aspx + #EHsc: call destructors on __try __catch, and to ignore C4530: C++ exception handler used. Note, unwind semantics are not enabled +endif() + + +#we create the binary +add_executable(binary ${sources}) +if (NOT FL_STATIC) + target_compile_definitions(binary PRIVATE FL_IMPORT_LIBRARY) +endif() +#linking the fuzzylite library +target_link_libraries (binary ${FuzzyLiteLibrary} ${BacktraceLibrary}) +#setting the name of the product +set_target_properties(binary PROPERTIES OUTPUT_NAME FuzzyLiteDemo) +#specially for windows +set_target_properties(binary PROPERTIES OUTPUT_NAME FuzzyLiteDemo IMPORT_PREFIX tmp-) #To prevent LNK1149 in Windows +#in case of building on debug mode +set_target_properties(binary PROPERTIES DEBUG_POSTFIX d) + + + +message("=====================================") +message("FuzzyLite Demo v6.0\n") +message("FL_HOME=${FL_HOME}") +message("FL_LIBRARY_NAME=${FL_LIBRARY_NAME}") +message("FuzzyLiteLibrary=${FuzzyLiteLibrary}") +message("") +message("FL_BACKTRACE=${FL_BACKTRACE}") +message("FL_STATIC=${FL_STATIC}") +message("FL_DEBUG=${FL_DEBUG}") +message("CMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}") +message("CMAKE_CXX_COMPILER_ID=${CMAKE_CXX_COMPILER_ID}") +message("CMAKE_CXX_COMPILER_VERSION=${CMAKE_CXX_COMPILER_VERSION}") +message("CMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}") +message("COMPILE_DEFINITIONS:") +get_directory_property(fl-definitions DIRECTORY ${CMAKE_SOURCE_DIR} COMPILE_DEFINITIONS ) +foreach(d ${fl-definitions}) + message( STATUS "Defined: " ${d} ) +endforeach() +message("=====================================\n") + diff --git a/examples/application/clean.sh b/examples/application/clean.sh new file mode 100755 index 0000000..4f4bc9c --- /dev/null +++ b/examples/application/clean.sh @@ -0,0 +1 @@ +rm -rf CMakeCache.txt CMakeFiles Makefile cmake_install.cmake FuzzyLiteDemo
\ No newline at end of file diff --git a/examples/application/compile.bat b/examples/application/compile.bat new file mode 100644 index 0000000..8baf5a3 --- /dev/null +++ b/examples/application/compile.bat @@ -0,0 +1,24 @@ +FL_HOME="../../fuzzylite/" + +rem Static Linking +rem -------------- +rem For C++11 +cl.exe src/main.cpp %FL_HOME%/release/bin/fuzzylite-static.lib /I%FL_HOME% /EHsc /MD + +rem For C++98 +cl.exe src/main.cpp %FL_HOME%/release/bin/fuzzylite-static.lib /I%FL_HOME% /DFL_CPP98=ON /EHsc /MD + + +rem Dynamic Linking +rem --------------- +rem For C++11 +rem For C++11 +cl.exe src/main.cpp %FL_HOME%/release/bin/fuzzylite-static.lib /I%FL_HOME% /DFL_IMPORT_LIBRARY /EHsc /MD + +rem For C++98 +cl.exe src/main.cpp %FL_HOME%/release/bin/fuzzylite-static.lib /I%FL_HOME% /DFL_CPP98=ON /DFL_IMPORT_LIBRARY /EHsc /MD + +rem Note: when using dynamic linking, the path to fuzzylite libraries must be specified. For example, run from console the following: + +set PATH="%FL_HOME%\release\bin;%PATH%" +example-dynamic-11.exe diff --git a/examples/application/compile.sh b/examples/application/compile.sh new file mode 100755 index 0000000..1ea1aa4 --- /dev/null +++ b/examples/application/compile.sh @@ -0,0 +1,25 @@ +#!/bin/bash + +FL_HOME="../../fuzzylite/" + +#Static Linking +#-------------- +#For C++11 +g++ src/main.cpp -oexample-static-11 -I$FL_HOME -L$FL_HOME/release/bin -lfuzzylite-static -std=c++11 + +#For C++98 +g++ src/main.cpp -oexample-static-98 -I$FL_HOME -L$FL_HOME/release/bin -lfuzzylite-static -DFL_CPP98=ON -Wno-non-literal-null-conversion + + +#Dynamic Linking +#--------------- +#For C++11 +g++ src/main.cpp -oexample-dynamic-11 -I$FL_HOME -L$FL_HOME/release/bin -lfuzzylite -std=c++11 + +#For C++98 +g++ src/main.cpp -oexample-dynamic-98 -I$FL_HOME -L$FL_HOME/release/bin -lfuzzylite -DFL_CPP98=ON -Wno-non-literal-null-conversion + +#Note: when using dynamic linking, the path to fuzzylite libraries must be specified. For example, run from console the following: + +LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$FL_HOME/release/bin; +./example-dynamic-11 diff --git a/examples/application/src/main.cpp b/examples/application/src/main.cpp new file mode 100644 index 0000000..d547b72 --- /dev/null +++ b/examples/application/src/main.cpp @@ -0,0 +1,16 @@ + +#include "fl/Headers.h" + +int main(int argc, char** argv){ + FL_IUNUSED(argc); + FL_IUNUSED(argv); + + using namespace fl; + + Engine* hybrid = Console::hybrid(); + FL_LOG("Hybrid Demo: FuzzyLite Dataset"); + FL_LOG("==============================="); + FL_LOG(FldExporter().toString(hybrid)); + delete hybrid; + +}
\ No newline at end of file diff --git a/examples/examples.R b/examples/examples.R new file mode 100644 index 0000000..7b905bf --- /dev/null +++ b/examples/examples.R @@ -0,0 +1,16 @@ +directories = c("mamdani/", "mamdani/matlab/", "mamdani/octave/", "takagi-sugeno/", "takagi-sugeno/matlab/", "takagi-sugeno/octave/", "tsukamoto/", "hybrid") +baseDirectory = getwd() + +for (directory in directories){ + message("Processing directory: ", directory) + setwd(directory) + rScripts = list.files(".", pattern = ".R$") + for (i in seq(1, length(rScripts))){ + rScript = rScripts[i] + message(sprintf("\tProcessing file %i/%i: %s", i, length(rScripts), rScript)) + scriptEnvironment = new.env() + sys.source(rScript, scriptEnvironment) + rm(scriptEnvironment) + } + setwd(baseDirectory) +} diff --git a/examples/examples.mat b/examples/examples.mat Binary files differdeleted file mode 100755 index 5955fbd..0000000 --- a/examples/examples.mat +++ /dev/null diff --git a/examples/hybrid/ObstacleAvoidance.R b/examples/hybrid/ObstacleAvoidance.R new file mode 100644 index 0000000..5a94543 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.R @@ -0,0 +1,86 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "ObstacleAvoidance" +engine.fll = "Engine: ObstacleAvoidance +InputVariable: obstacle + enabled: true + range: 0.000 1.000 + lock-range: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: mSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 100 + default: nan + lock-previous: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: tsSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: left Constant 0.333 + term: right Constant 0.666 +RuleBlock: mamdani + enabled: true + conjunction: none + disjunction: none + implication: AlgebraicProduct + activation: General + rule: if obstacle is left then mSteer is right + rule: if obstacle is right then mSteer is left +RuleBlock: takagiSugeno + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if obstacle is left then tsSteer is right + rule: if obstacle is right then tsSteer is left" + +engine.fldFile = "ObstacleAvoidance.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(obstacle, mSteer)) + + geom_line(aes(color=mSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("obstacle vs mSteer") + +engine.plot.o1_i1 = ggplot(engine.df, aes(obstacle, mSteer)) + + geom_line(aes(color=mSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("mSteer vs obstacle") + +engine.plot.i1_o2 = ggplot(engine.df, aes(obstacle, tsSteer)) + + geom_line(aes(color=tsSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("obstacle vs tsSteer") + +engine.plot.o2_i1 = ggplot(engine.df, aes(obstacle, tsSteer)) + + geom_line(aes(color=tsSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("tsSteer vs obstacle") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/hybrid/ObstacleAvoidance.cpp b/examples/hybrid/ObstacleAvoidance.cpp new file mode 100644 index 0000000..a5e42e1 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.cpp @@ -0,0 +1,75 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + +using namespace fl; + +Engine* engine = new Engine; +engine->setName("ObstacleAvoidance"); +engine->setDescription(""); + +InputVariable* obstacle = new InputVariable; +obstacle->setName("obstacle"); +obstacle->setDescription(""); +obstacle->setEnabled(true); +obstacle->setRange(0.000, 1.000); +obstacle->setLockValueInRange(false); +obstacle->addTerm(new Ramp("left", 1.000, 0.000)); +obstacle->addTerm(new Ramp("right", 0.000, 1.000)); +engine->addInputVariable(obstacle); + +OutputVariable* mSteer = new OutputVariable; +mSteer->setName("mSteer"); +mSteer->setDescription(""); +mSteer->setEnabled(true); +mSteer->setRange(0.000, 1.000); +mSteer->setLockValueInRange(false); +mSteer->setAggregation(new Maximum); +mSteer->setDefuzzifier(new Centroid(100)); +mSteer->setDefaultValue(fl::nan); +mSteer->setLockPreviousValue(false); +mSteer->addTerm(new Ramp("left", 1.000, 0.000)); +mSteer->addTerm(new Ramp("right", 0.000, 1.000)); +engine->addOutputVariable(mSteer); + +OutputVariable* tsSteer = new OutputVariable; +tsSteer->setName("tsSteer"); +tsSteer->setDescription(""); +tsSteer->setEnabled(true); +tsSteer->setRange(0.000, 1.000); +tsSteer->setLockValueInRange(false); +tsSteer->setAggregation(new Maximum); +tsSteer->setDefuzzifier(new WeightedAverage("Automatic")); +tsSteer->setDefaultValue(fl::nan); +tsSteer->setLockPreviousValue(false); +tsSteer->addTerm(new Constant("left", 0.333)); +tsSteer->addTerm(new Constant("right", 0.666)); +engine->addOutputVariable(tsSteer); + +RuleBlock* mamdani = new RuleBlock; +mamdani->setName("mamdani"); +mamdani->setDescription(""); +mamdani->setEnabled(true); +mamdani->setConjunction(fl::null); +mamdani->setDisjunction(fl::null); +mamdani->setImplication(new AlgebraicProduct); +mamdani->setActivation(new General); +mamdani->addRule(Rule::parse("if obstacle is left then mSteer is right", engine)); +mamdani->addRule(Rule::parse("if obstacle is right then mSteer is left", engine)); +engine->addRuleBlock(mamdani); + +RuleBlock* takagiSugeno = new RuleBlock; +takagiSugeno->setName("takagiSugeno"); +takagiSugeno->setDescription(""); +takagiSugeno->setEnabled(true); +takagiSugeno->setConjunction(fl::null); +takagiSugeno->setDisjunction(fl::null); +takagiSugeno->setImplication(fl::null); +takagiSugeno->setActivation(new General); +takagiSugeno->addRule(Rule::parse("if obstacle is left then tsSteer is right", engine)); +takagiSugeno->addRule(Rule::parse("if obstacle is right then tsSteer is left", engine)); +engine->addRuleBlock(takagiSugeno); + + +} diff --git a/examples/hybrid/ObstacleAvoidance.fcl b/examples/hybrid/ObstacleAvoidance.fcl new file mode 100644 index 0000000..81a30a7 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.fcl @@ -0,0 +1,49 @@ +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK ObstacleAvoidance + +VAR_INPUT + obstacle: REAL; +END_VAR + +VAR_OUTPUT + mSteer: REAL; + tsSteer: REAL; +END_VAR + +FUZZIFY obstacle + RANGE := (0.000 .. 1.000); + TERM left := Ramp 1.000 0.000; + TERM right := Ramp 0.000 1.000; +END_FUZZIFY + +DEFUZZIFY mSteer + RANGE := (0.000 .. 1.000); + TERM left := Ramp 1.000 0.000; + TERM right := Ramp 0.000 1.000; + METHOD : COG; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY tsSteer + RANGE := (0.000 .. 1.000); + TERM left := 0.333; + TERM right := 0.666; + METHOD : COGS; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK mamdani + ACT : PROD; + RULE 1 : if obstacle is left then mSteer is right + RULE 2 : if obstacle is right then mSteer is left +END_RULEBLOCK + +RULEBLOCK takagiSugeno + RULE 1 : if obstacle is left then tsSteer is right + RULE 2 : if obstacle is right then tsSteer is left +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/hybrid/ObstacleAvoidance.fis b/examples/hybrid/ObstacleAvoidance.fis new file mode 100644 index 0000000..1bf0476 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.fis @@ -0,0 +1,43 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='ObstacleAvoidance' +Type='hybrid' +Version=6.0 +NumInputs=1 +NumOutputs=2 +NumRules=4 +AndMethod='min' +OrMethod='max' +ImpMethod='prod' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='obstacle' +Range=[0.000 1.000] +NumMFs=2 +MF1='left':'rampmf',[1.000 0.000] +MF2='right':'rampmf',[0.000 1.000] + +[Output1] +Name='mSteer' +Range=[0.000 1.000] +NumMFs=2 +MF1='left':'rampmf',[1.000 0.000] +MF2='right':'rampmf',[0.000 1.000] + +[Output2] +Name='tsSteer' +Range=[0.000 1.000] +NumMFs=2 +MF1='left':'constant',[0.333] +MF2='right':'constant',[0.666] + +[Rules] +# RuleBlock mamdani +1.000 , 2.000 0.000 (1.000) : 1 +2.000 , 1.000 0.000 (1.000) : 1 +# RuleBlock takagiSugeno +1.000 , 0.000 2.000 (1.000) : 1 +2.000 , 0.000 1.000 (1.000) : 1 diff --git a/examples/hybrid/ObstacleAvoidance.fld b/examples/hybrid/ObstacleAvoidance.fld new file mode 100644 index 0000000..bd96696 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.fld @@ -0,0 +1,1025 @@ +obstacle mSteer tsSteer +0.000000000 0.666650000 0.666000000 +0.000977517 0.666650000 0.665674487 +0.001955034 0.666650000 0.665348974 +0.002932551 0.666650000 0.665023460 +0.003910068 0.666650000 0.664697947 +0.004887586 0.666650000 0.664372434 +0.005865103 0.666638485 0.664046921 +0.006842620 0.666625450 0.663721408 +0.007820137 0.666612389 0.663395894 +0.008797654 0.666599303 0.663070381 +0.009775171 0.666586193 0.662744868 +0.010752688 0.666573056 0.662419355 +0.011730205 0.666559894 0.662093842 +0.012707722 0.666546707 0.661768328 +0.013685239 0.666533494 0.661442815 +0.014662757 0.666520255 0.661117302 +0.015640274 0.666498518 0.660791789 +0.016617791 0.666472271 0.660466276 +0.017595308 0.666445974 0.660140762 +0.018572825 0.666419626 0.659815249 +0.019550342 0.666393229 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0.343090909 +0.970674487 0.333930642 0.342765396 +0.971652004 0.333890791 0.342439883 +0.972629521 0.333851014 0.342114370 +0.973607038 0.333811314 0.341788856 +0.974584555 0.333771687 0.341463343 +0.975562072 0.333739521 0.341137830 +0.976539589 0.333712869 0.340812317 +0.977517107 0.333686268 0.340486804 +0.978494624 0.333659718 0.340161290 +0.979472141 0.333633219 0.339835777 +0.980449658 0.333606771 0.339510264 +0.981427175 0.333580374 0.339184751 +0.982404692 0.333554026 0.338859238 +0.983382209 0.333527729 0.338533724 +0.984359726 0.333501482 0.338208211 +0.985337243 0.333479745 0.337882698 +0.986314761 0.333466506 0.337557185 +0.987292278 0.333453293 0.337231672 +0.988269795 0.333440106 0.336906158 +0.989247312 0.333426944 0.336580645 +0.990224829 0.333413807 0.336255132 +0.991202346 0.333400697 0.335929619 +0.992179863 0.333387611 0.335604106 +0.993157380 0.333374550 0.335278592 +0.994134897 0.333361515 0.334953079 +0.995112414 0.333350000 0.334627566 +0.996089932 0.333350000 0.334302053 +0.997067449 0.333350000 0.333976540 +0.998044966 0.333350000 0.333651026 +0.999022483 0.333350000 0.333325513 +1.000000000 0.333350000 0.333000000 diff --git a/examples/hybrid/ObstacleAvoidance.fll b/examples/hybrid/ObstacleAvoidance.fll new file mode 100644 index 0000000..970221b --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.fll @@ -0,0 +1,43 @@ +Engine: ObstacleAvoidance +InputVariable: obstacle + enabled: true + range: 0.000 1.000 + lock-range: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: mSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 100 + default: nan + lock-previous: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: tsSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: left Constant 0.333 + term: right Constant 0.666 +RuleBlock: mamdani + enabled: true + conjunction: none + disjunction: none + implication: AlgebraicProduct + activation: General + rule: if obstacle is left then mSteer is right + rule: if obstacle is right then mSteer is left +RuleBlock: takagiSugeno + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if obstacle is left then tsSteer is right + rule: if obstacle is right then tsSteer is left
\ No newline at end of file diff --git a/examples/hybrid/ObstacleAvoidance.java b/examples/hybrid/ObstacleAvoidance.java new file mode 100644 index 0000000..8196670 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.java @@ -0,0 +1,86 @@ +import com.fuzzylite.*; +import com.fuzzylite.activation.* +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class ObstacleAvoidance{ +public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + +Engine engine = new Engine(); +engine.setName("ObstacleAvoidance"); +engine.setDescription(""); + +InputVariable obstacle = new InputVariable(); +obstacle.setName("obstacle"); +obstacle.setDescription(""); +obstacle.setEnabled(true); +obstacle.setRange(0.000, 1.000); +obstacle.setLockValueInRange(false); +obstacle.addTerm(new Ramp("left", 1.000, 0.000)); +obstacle.addTerm(new Ramp("right", 0.000, 1.000)); +engine.addInputVariable(obstacle); + +OutputVariable mSteer = new OutputVariable(); +mSteer.setName("mSteer"); +mSteer.setDescription(""); +mSteer.setEnabled(true); +mSteer.setRange(0.000, 1.000); +mSteer.setLockValueInRange(false); +mSteer.setAggregation(new Maximum()); +mSteer.setDefuzzifier(new Centroid(100)); +mSteer.setDefaultValue(Double.NaN); +mSteer.setLockPreviousValue(false); +mSteer.addTerm(new Ramp("left", 1.000, 0.000)); +mSteer.addTerm(new Ramp("right", 0.000, 1.000)); +engine.addOutputVariable(mSteer); + +OutputVariable tsSteer = new OutputVariable(); +tsSteer.setName("tsSteer"); +tsSteer.setDescription(""); +tsSteer.setEnabled(true); +tsSteer.setRange(0.000, 1.000); +tsSteer.setLockValueInRange(false); +tsSteer.setAggregation(new Maximum()); +tsSteer.setDefuzzifier(new WeightedAverage("Automatic")); +tsSteer.setDefaultValue(Double.NaN); +tsSteer.setLockPreviousValue(false); +tsSteer.addTerm(new Constant("left", 0.333)); +tsSteer.addTerm(new Constant("right", 0.666)); +engine.addOutputVariable(tsSteer); + +RuleBlock mamdani = new RuleBlock(); +mamdani.setName("mamdani"); +mamdani.setDescription(""); +mamdani.setEnabled(true); +mamdani.setConjunction(null); +mamdani.setDisjunction(null); +mamdani.setImplication(new AlgebraicProduct()); +mamdani.setActivation(new General()); +mamdani.addRule(Rule.parse("if obstacle is left then mSteer is right", engine)); +mamdani.addRule(Rule.parse("if obstacle is right then mSteer is left", engine)); +engine.addRuleBlock(mamdani); + +RuleBlock takagiSugeno = new RuleBlock(); +takagiSugeno.setName("takagiSugeno"); +takagiSugeno.setDescription(""); +takagiSugeno.setEnabled(true); +takagiSugeno.setConjunction(null); +takagiSugeno.setDisjunction(null); +takagiSugeno.setImplication(null); +takagiSugeno.setActivation(new General()); +takagiSugeno.addRule(Rule.parse("if obstacle is left then tsSteer is right", engine)); +takagiSugeno.addRule(Rule.parse("if obstacle is right then tsSteer is left", engine)); +engine.addRuleBlock(takagiSugeno); + + +} +} diff --git a/examples/hybrid/ObstacleAvoidance.pdf b/examples/hybrid/ObstacleAvoidance.pdf Binary files differnew file mode 100644 index 0000000..ad74e68 --- /dev/null +++ b/examples/hybrid/ObstacleAvoidance.pdf diff --git a/examples/hybrid/tipper.R b/examples/hybrid/tipper.R new file mode 100644 index 0000000..ba11351 --- /dev/null +++ b/examples/hybrid/tipper.R @@ -0,0 +1,109 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "tipper" +engine.description = "(service and food) -> (tip)" +engine.fll = "Engine: tipper +description: (service and food) -> (tip) +InputVariable: service + description: quality of service + enabled: true + range: 0.000 10.000 + lock-range: true + term: poor Trapezoid 0.000 0.000 2.500 5.000 + term: good Triangle 2.500 5.000 7.500 + term: excellent Trapezoid 5.000 7.500 10.000 10.000 +InputVariable: food + description: quality of food + enabled: true + range: 0.000 10.000 + lock-range: true + term: rancid Trapezoid 0.000 0.000 2.500 7.500 + term: delicious Trapezoid 2.500 7.500 10.000 10.000 +OutputVariable: mTip + description: tip based on Mamdani inference + enabled: true + range: 0.000 30.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 100 + default: nan + lock-previous: false + term: cheap Triangle 0.000 5.000 10.000 + term: average Triangle 10.000 15.000 20.000 + term: generous Triangle 20.000 25.000 30.000 +OutputVariable: tsTip + description: tip based on Takagi-Sugeno inference + enabled: true + range: 0.000 30.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: cheap Constant 5.000 + term: average Constant 15.000 + term: generous Constant 25.000 +RuleBlock: mamdani + description: Mamdani inference + enabled: true + conjunction: AlgebraicProduct + disjunction: AlgebraicSum + implication: Minimum + activation: General + rule: if service is poor or food is rancid then mTip is cheap + rule: if service is good then mTip is average + rule: if service is excellent or food is delicious then mTip is generous with 0.5 + rule: if service is excellent and food is delicious then mTip is generous with 1.0 +RuleBlock: takagiSugeno + description: Takagi-Sugeno inference + enabled: true + conjunction: AlgebraicProduct + disjunction: AlgebraicSum + implication: none + activation: General + rule: if service is poor or food is rancid then tsTip is cheap + rule: if service is good then tsTip is average + rule: if service is excellent or food is delicious then tsTip is generous with 0.5 + rule: if service is excellent and food is delicious then tsTip is generous with 1.0" + +engine.fldFile = "tipper.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(service, food)) + + geom_tile(aes(fill=mTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=service, y=food, z=mTip), color="black") + + ggtitle("(service, food) = mTip") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(food, service)) + + geom_tile(aes(fill=mTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=food, y=service, z=mTip), color="black") + + ggtitle("(food, service) = mTip") + +engine.plot.i1i2_o2 = ggplot(engine.df, aes(service, food)) + + geom_tile(aes(fill=tsTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=service, y=food, z=tsTip), color="black") + + ggtitle("(service, food) = tsTip") + +engine.plot.i2i1_o2 = ggplot(engine.df, aes(food, service)) + + geom_tile(aes(fill=tsTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=food, y=service, z=tsTip), color="black") + + ggtitle("(food, service) = tsTip") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/hybrid/tipper.cpp b/examples/hybrid/tipper.cpp new file mode 100644 index 0000000..57bcc78 --- /dev/null +++ b/examples/hybrid/tipper.cpp @@ -0,0 +1,92 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + +using namespace fl; + +Engine* engine = new Engine; +engine->setName("tipper"); +engine->setDescription("(service and food) -> (tip)"); + +InputVariable* service = new InputVariable; +service->setName("service"); +service->setDescription("quality of service"); +service->setEnabled(true); +service->setRange(0.000, 10.000); +service->setLockValueInRange(true); +service->addTerm(new Trapezoid("poor", 0.000, 0.000, 2.500, 5.000)); +service->addTerm(new Triangle("good", 2.500, 5.000, 7.500)); +service->addTerm(new Trapezoid("excellent", 5.000, 7.500, 10.000, 10.000)); +engine->addInputVariable(service); + +InputVariable* food = new InputVariable; +food->setName("food"); +food->setDescription("quality of food"); +food->setEnabled(true); +food->setRange(0.000, 10.000); +food->setLockValueInRange(true); +food->addTerm(new Trapezoid("rancid", 0.000, 0.000, 2.500, 7.500)); +food->addTerm(new Trapezoid("delicious", 2.500, 7.500, 10.000, 10.000)); +engine->addInputVariable(food); + +OutputVariable* mTip = new OutputVariable; +mTip->setName("mTip"); +mTip->setDescription("tip based on Mamdani inference"); +mTip->setEnabled(true); +mTip->setRange(0.000, 30.000); +mTip->setLockValueInRange(false); +mTip->setAggregation(new Maximum); +mTip->setDefuzzifier(new Centroid(100)); +mTip->setDefaultValue(fl::nan); +mTip->setLockPreviousValue(false); +mTip->addTerm(new Triangle("cheap", 0.000, 5.000, 10.000)); +mTip->addTerm(new Triangle("average", 10.000, 15.000, 20.000)); +mTip->addTerm(new Triangle("generous", 20.000, 25.000, 30.000)); +engine->addOutputVariable(mTip); + +OutputVariable* tsTip = new OutputVariable; +tsTip->setName("tsTip"); +tsTip->setDescription("tip based on Takagi-Sugeno inference"); +tsTip->setEnabled(true); +tsTip->setRange(0.000, 30.000); +tsTip->setLockValueInRange(false); +tsTip->setAggregation(fl::null); +tsTip->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +tsTip->setDefaultValue(fl::nan); +tsTip->setLockPreviousValue(false); +tsTip->addTerm(new Constant("cheap", 5.000)); +tsTip->addTerm(new Constant("average", 15.000)); +tsTip->addTerm(new Constant("generous", 25.000)); +engine->addOutputVariable(tsTip); + +RuleBlock* mamdani = new RuleBlock; +mamdani->setName("mamdani"); +mamdani->setDescription("Mamdani inference"); +mamdani->setEnabled(true); +mamdani->setConjunction(new AlgebraicProduct); +mamdani->setDisjunction(new AlgebraicSum); +mamdani->setImplication(new Minimum); +mamdani->setActivation(new General); +mamdani->addRule(Rule::parse("if service is poor or food is rancid then mTip is cheap", engine)); +mamdani->addRule(Rule::parse("if service is good then mTip is average", engine)); +mamdani->addRule(Rule::parse("if service is excellent or food is delicious then mTip is generous with 0.5", engine)); +mamdani->addRule(Rule::parse("if service is excellent and food is delicious then mTip is generous with 1.0", engine)); +engine->addRuleBlock(mamdani); + +RuleBlock* takagiSugeno = new RuleBlock; +takagiSugeno->setName("takagiSugeno"); +takagiSugeno->setDescription("Takagi-Sugeno inference"); +takagiSugeno->setEnabled(true); +takagiSugeno->setConjunction(new AlgebraicProduct); +takagiSugeno->setDisjunction(new AlgebraicSum); +takagiSugeno->setImplication(fl::null); +takagiSugeno->setActivation(new General); +takagiSugeno->addRule(Rule::parse("if service is poor or food is rancid then tsTip is cheap", engine)); +takagiSugeno->addRule(Rule::parse("if service is good then tsTip is average", engine)); +takagiSugeno->addRule(Rule::parse("if service is excellent or food is delicious then tsTip is generous with 0.5", engine)); +takagiSugeno->addRule(Rule::parse("if service is excellent and food is delicious then tsTip is generous with 1.0", engine)); +engine->addRuleBlock(takagiSugeno); + + +} diff --git a/examples/hybrid/tipper.fcl b/examples/hybrid/tipper.fcl new file mode 100644 index 0000000..299dbb8 --- /dev/null +++ b/examples/hybrid/tipper.fcl @@ -0,0 +1,66 @@ +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK tipper + +VAR_INPUT + service: REAL; + food: REAL; +END_VAR + +VAR_OUTPUT + mTip: REAL; + tsTip: REAL; +END_VAR + +FUZZIFY service + RANGE := (0.000 .. 10.000); + TERM poor := Trapezoid 0.000 0.000 2.500 5.000; + TERM good := Triangle 2.500 5.000 7.500; + TERM excellent := Trapezoid 5.000 7.500 10.000 10.000; +END_FUZZIFY + +FUZZIFY food + RANGE := (0.000 .. 10.000); + TERM rancid := Trapezoid 0.000 0.000 2.500 7.500; + TERM delicious := Trapezoid 2.500 7.500 10.000 10.000; +END_FUZZIFY + +DEFUZZIFY mTip + RANGE := (0.000 .. 30.000); + TERM cheap := Triangle 0.000 5.000 10.000; + TERM average := Triangle 10.000 15.000 20.000; + TERM generous := Triangle 20.000 25.000 30.000; + METHOD : COG; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY tsTip + RANGE := (0.000 .. 30.000); + TERM cheap := 5.000; + TERM average := 15.000; + TERM generous := 25.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK mamdani + AND : PROD; + OR : ASUM; + ACT : MIN; + RULE 1 : if service is poor or food is rancid then mTip is cheap + RULE 2 : if service is good then mTip is average + RULE 3 : if service is excellent or food is delicious then mTip is generous with 0.5 + RULE 4 : if service is excellent and food is delicious then mTip is generous with 1.0 +END_RULEBLOCK + +RULEBLOCK takagiSugeno + AND : PROD; + OR : ASUM; + RULE 1 : if service is poor or food is rancid then tsTip is cheap + RULE 2 : if service is good then tsTip is average + RULE 3 : if service is excellent or food is delicious then tsTip is generous with 0.5 + RULE 4 : if service is excellent and food is delicious then tsTip is generous with 1.0 +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/hybrid/tipper.fis b/examples/hybrid/tipper.fis new file mode 100644 index 0000000..abd850a --- /dev/null +++ b/examples/hybrid/tipper.fis @@ -0,0 +1,57 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='tipper' +Type='hybrid' +Version=6.0 +NumInputs=2 +NumOutputs=2 +NumRules=8 +AndMethod='prod' +OrMethod='probor' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='service' +Range=[0.000 10.000] +NumMFs=3 +MF1='poor':'trapmf',[0.000 0.000 2.500 5.000] +MF2='good':'trimf',[2.500 5.000 7.500] +MF3='excellent':'trapmf',[5.000 7.500 10.000 10.000] + +[Input2] +Name='food' +Range=[0.000 10.000] +NumMFs=2 +MF1='rancid':'trapmf',[0.000 0.000 2.500 7.500] +MF2='delicious':'trapmf',[2.500 7.500 10.000 10.000] + +[Output1] +Name='mTip' +Range=[0.000 30.000] +NumMFs=3 +MF1='cheap':'trimf',[0.000 5.000 10.000] +MF2='average':'trimf',[10.000 15.000 20.000] +MF3='generous':'trimf',[20.000 25.000 30.000] + +[Output2] +Name='tsTip' +Range=[0.000 30.000] +NumMFs=3 +MF1='cheap':'constant',[5.000] +MF2='average':'constant',[15.000] +MF3='generous':'constant',[25.000] + +[Rules] +# RuleBlock mamdani +1.000 1.000 , 1.000 0.000 (1.000) : 2 +2.000 0.000 , 2.000 0.000 (1.000) : 1 +3.000 2.000 , 3.000 0.000 (0.500) : 2 +3.000 2.000 , 3.000 0.000 (1.000) : 1 +# RuleBlock takagiSugeno +1.000 1.000 , 0.000 1.000 (1.000) : 2 +2.000 0.000 , 0.000 2.000 (1.000) : 1 +3.000 2.000 , 0.000 3.000 (0.500) : 2 +3.000 2.000 , 0.000 3.000 (1.000) : 1 diff --git a/examples/hybrid/tipper.fld b/examples/hybrid/tipper.fld new file mode 100644 index 0000000..7a8e29d --- /dev/null +++ b/examples/hybrid/tipper.fld @@ -0,0 +1,1025 @@ +service food mTip tsTip +0.000000000 0.000000000 4.998950210 5.000000000 +0.000000000 0.322580645 4.998950210 5.000000000 +0.000000000 0.645161290 4.998950210 5.000000000 +0.000000000 0.967741935 4.998950210 5.000000000 +0.000000000 1.290322581 4.998950210 5.000000000 +0.000000000 1.612903226 4.998950210 5.000000000 +0.000000000 1.935483871 4.998950210 5.000000000 +0.000000000 2.258064516 4.998950210 5.000000000 +0.000000000 2.580645161 5.314026132 5.160000000 +0.000000000 2.903225806 6.467756859 5.775193798 +0.000000000 3.225806452 7.452789474 6.353383459 +0.000000000 3.548387097 8.316896407 6.897810219 +0.000000000 3.870967742 9.067963620 7.411347518 +0.000000000 4.193548387 9.734585733 7.896551724 +0.000000000 4.516129032 10.322182298 8.355704698 +0.000000000 4.838709677 10.846060307 8.790849673 +0.000000000 5.161290323 11.316227524 9.203821656 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+10.000000000 2.580645161 13.572517919 11.881720430 +10.000000000 2.903225806 13.603707815 12.741935484 +10.000000000 3.225806452 13.676532623 13.602150538 +10.000000000 3.548387097 13.793124575 14.462365591 +10.000000000 3.870967742 13.957010447 15.322580645 +10.000000000 4.193548387 14.173387937 16.182795699 +10.000000000 4.516129032 14.449561083 17.043010753 +10.000000000 4.838709677 14.795606896 17.903225806 +10.000000000 5.161290323 15.430252399 18.763440860 +10.000000000 5.483870968 16.305345082 19.623655914 +10.000000000 5.806451613 17.225621817 20.483870968 +10.000000000 6.129032258 18.227035950 21.344086022 +10.000000000 6.451612903 19.356366279 22.204301075 +10.000000000 6.774193548 20.682807170 23.064516129 +10.000000000 7.096774194 22.303013754 23.924731183 +10.000000000 7.419354839 24.380408194 24.784946237 +10.000000000 7.741935484 25.001049790 25.000000000 +10.000000000 8.064516129 25.001049790 25.000000000 +10.000000000 8.387096774 25.001049790 25.000000000 +10.000000000 8.709677419 25.001049790 25.000000000 +10.000000000 9.032258065 25.001049790 25.000000000 +10.000000000 9.354838710 25.001049790 25.000000000 +10.000000000 9.677419355 25.001049790 25.000000000 +10.000000000 10.000000000 25.001049790 25.000000000 diff --git a/examples/hybrid/tipper.fll b/examples/hybrid/tipper.fll new file mode 100644 index 0000000..cb8803f --- /dev/null +++ b/examples/hybrid/tipper.fll @@ -0,0 +1,63 @@ +Engine: tipper +description: (service and food) -> (tip) +InputVariable: service + description: quality of service + enabled: true + range: 0.000 10.000 + lock-range: true + term: poor Trapezoid 0.000 0.000 2.500 5.000 + term: good Triangle 2.500 5.000 7.500 + term: excellent Trapezoid 5.000 7.500 10.000 10.000 +InputVariable: food + description: quality of food + enabled: true + range: 0.000 10.000 + lock-range: true + term: rancid Trapezoid 0.000 0.000 2.500 7.500 + term: delicious Trapezoid 2.500 7.500 10.000 10.000 +OutputVariable: mTip + description: tip based on Mamdani inference + enabled: true + range: 0.000 30.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 100 + default: nan + lock-previous: false + term: cheap Triangle 0.000 5.000 10.000 + term: average Triangle 10.000 15.000 20.000 + term: generous Triangle 20.000 25.000 30.000 +OutputVariable: tsTip + description: tip based on Takagi-Sugeno inference + enabled: true + range: 0.000 30.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: cheap Constant 5.000 + term: average Constant 15.000 + term: generous Constant 25.000 +RuleBlock: mamdani + description: Mamdani inference + enabled: true + conjunction: AlgebraicProduct + disjunction: AlgebraicSum + implication: Minimum + activation: General + rule: if service is poor or food is rancid then mTip is cheap + rule: if service is good then mTip is average + rule: if service is excellent or food is delicious then mTip is generous with 0.5 + rule: if service is excellent and food is delicious then mTip is generous with 1.0 +RuleBlock: takagiSugeno + description: Takagi-Sugeno inference + enabled: true + conjunction: AlgebraicProduct + disjunction: AlgebraicSum + implication: none + activation: General + rule: if service is poor or food is rancid then tsTip is cheap + rule: if service is good then tsTip is average + rule: if service is excellent or food is delicious then tsTip is generous with 0.5 + rule: if service is excellent and food is delicious then tsTip is generous with 1.0
\ No newline at end of file diff --git a/examples/hybrid/tipper.java b/examples/hybrid/tipper.java new file mode 100644 index 0000000..e0578ca --- /dev/null +++ b/examples/hybrid/tipper.java @@ -0,0 +1,103 @@ +import com.fuzzylite.*; +import com.fuzzylite.activation.* +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class tipper{ +public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + +Engine engine = new Engine(); +engine.setName("tipper"); +engine.setDescription("(service and food) -> (tip)"); + +InputVariable service = new InputVariable(); +service.setName("service"); +service.setDescription("quality of service"); +service.setEnabled(true); +service.setRange(0.000, 10.000); +service.setLockValueInRange(true); +service.addTerm(new Trapezoid("poor", 0.000, 0.000, 2.500, 5.000)); +service.addTerm(new Triangle("good", 2.500, 5.000, 7.500)); +service.addTerm(new Trapezoid("excellent", 5.000, 7.500, 10.000, 10.000)); +engine.addInputVariable(service); + +InputVariable food = new InputVariable(); +food.setName("food"); +food.setDescription("quality of food"); +food.setEnabled(true); +food.setRange(0.000, 10.000); +food.setLockValueInRange(true); +food.addTerm(new Trapezoid("rancid", 0.000, 0.000, 2.500, 7.500)); +food.addTerm(new Trapezoid("delicious", 2.500, 7.500, 10.000, 10.000)); +engine.addInputVariable(food); + +OutputVariable mTip = new OutputVariable(); +mTip.setName("mTip"); +mTip.setDescription("tip based on Mamdani inference"); +mTip.setEnabled(true); +mTip.setRange(0.000, 30.000); +mTip.setLockValueInRange(false); +mTip.setAggregation(new Maximum()); +mTip.setDefuzzifier(new Centroid(100)); +mTip.setDefaultValue(Double.NaN); +mTip.setLockPreviousValue(false); +mTip.addTerm(new Triangle("cheap", 0.000, 5.000, 10.000)); +mTip.addTerm(new Triangle("average", 10.000, 15.000, 20.000)); +mTip.addTerm(new Triangle("generous", 20.000, 25.000, 30.000)); +engine.addOutputVariable(mTip); + +OutputVariable tsTip = new OutputVariable(); +tsTip.setName("tsTip"); +tsTip.setDescription("tip based on Takagi-Sugeno inference"); +tsTip.setEnabled(true); +tsTip.setRange(0.000, 30.000); +tsTip.setLockValueInRange(false); +tsTip.setAggregation(null); +tsTip.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +tsTip.setDefaultValue(Double.NaN); +tsTip.setLockPreviousValue(false); +tsTip.addTerm(new Constant("cheap", 5.000)); +tsTip.addTerm(new Constant("average", 15.000)); +tsTip.addTerm(new Constant("generous", 25.000)); +engine.addOutputVariable(tsTip); + +RuleBlock mamdani = new RuleBlock(); +mamdani.setName("mamdani"); +mamdani.setDescription("Mamdani inference"); +mamdani.setEnabled(true); +mamdani.setConjunction(new AlgebraicProduct()); +mamdani.setDisjunction(new AlgebraicSum()); +mamdani.setImplication(new Minimum()); +mamdani.setActivation(new General()); +mamdani.addRule(Rule.parse("if service is poor or food is rancid then mTip is cheap", engine)); +mamdani.addRule(Rule.parse("if service is good then mTip is average", engine)); +mamdani.addRule(Rule.parse("if service is excellent or food is delicious then mTip is generous with 0.5", engine)); +mamdani.addRule(Rule.parse("if service is excellent and food is delicious then mTip is generous with 1.0", engine)); +engine.addRuleBlock(mamdani); + +RuleBlock takagiSugeno = new RuleBlock(); +takagiSugeno.setName("takagiSugeno"); +takagiSugeno.setDescription("Takagi-Sugeno inference"); +takagiSugeno.setEnabled(true); +takagiSugeno.setConjunction(new AlgebraicProduct()); +takagiSugeno.setDisjunction(new AlgebraicSum()); +takagiSugeno.setImplication(null); +takagiSugeno.setActivation(new General()); +takagiSugeno.addRule(Rule.parse("if service is poor or food is rancid then tsTip is cheap", engine)); +takagiSugeno.addRule(Rule.parse("if service is good then tsTip is average", engine)); +takagiSugeno.addRule(Rule.parse("if service is excellent or food is delicious then tsTip is generous with 0.5", engine)); +takagiSugeno.addRule(Rule.parse("if service is excellent and food is delicious then tsTip is generous with 1.0", engine)); +engine.addRuleBlock(takagiSugeno); + + +} +} diff --git a/examples/hybrid/tipper.pdf b/examples/hybrid/tipper.pdf Binary files differnew file mode 100644 index 0000000..482e9cc --- /dev/null +++ b/examples/hybrid/tipper.pdf diff --git a/examples/mamdani/AllTerms.R b/examples/mamdani/AllTerms.R new file mode 100644 index 0000000..1b17463 --- /dev/null +++ b/examples/mamdani/AllTerms.R @@ -0,0 +1,111 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "AllTerms" +engine.fll = "Engine: AllTerms +InputVariable: AllInputTerms + enabled: true + range: 0.000 6.500 + lock-range: false + term: A Sigmoid 0.500 -20.000 + term: B ZShape 0.000 1.000 + term: C Ramp 1.000 0.000 + term: D Triangle 0.500 1.000 1.500 + term: E Trapezoid 1.000 1.250 1.750 2.000 + term: F Concave 0.850 0.250 + term: G Rectangle 1.750 2.250 + term: H Discrete 2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000 + term: I Gaussian 3.000 0.200 + term: J Cosine 3.250 0.650 + term: K GaussianProduct 3.500 0.100 3.300 0.300 + term: L Spike 3.640 1.040 + term: M Bell 4.000 0.250 3.000 + term: N PiShape 4.000 4.500 4.500 5.000 + term: O Concave 5.650 6.250 + term: P SigmoidDifference 4.750 10.000 30.000 5.250 + term: Q SigmoidProduct 5.250 20.000 -10.000 5.750 + term: R Ramp 5.500 6.500 + term: S SShape 5.500 6.500 + term: T Sigmoid 6.000 20.000 +OutputVariable: AllOutputTerms + enabled: true + range: 0.000 6.500 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: A Sigmoid 0.500 -20.000 + term: B ZShape 0.000 1.000 + term: C Ramp 1.000 0.000 + term: D Triangle 0.500 1.000 1.500 + term: E Trapezoid 1.000 1.250 1.750 2.000 + term: F Concave 0.850 0.250 + term: G Rectangle 1.750 2.250 + term: H Discrete 2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000 + term: I Gaussian 3.000 0.200 + term: J Cosine 3.250 0.650 + term: K GaussianProduct 3.500 0.100 3.300 0.300 + term: L Spike 3.640 1.040 + term: M Bell 4.000 0.250 3.000 + term: N PiShape 4.000 4.500 4.500 5.000 + term: O Concave 5.650 6.250 + term: P SigmoidDifference 4.750 10.000 30.000 5.250 + term: Q SigmoidProduct 5.250 20.000 -10.000 5.750 + term: R Ramp 5.500 6.500 + term: S SShape 5.500 6.500 + term: T Sigmoid 6.000 20.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: Maximum + implication: Minimum + activation: General + rule: if AllInputTerms is A then AllOutputTerms is T + rule: if AllInputTerms is B then AllOutputTerms is S + rule: if AllInputTerms is C then AllOutputTerms is R + rule: if AllInputTerms is D then AllOutputTerms is Q + rule: if AllInputTerms is E then AllOutputTerms is P + rule: if AllInputTerms is F then AllOutputTerms is O + rule: if AllInputTerms is G then AllOutputTerms is N + rule: if AllInputTerms is H then AllOutputTerms is M + rule: if AllInputTerms is I then AllOutputTerms is L + rule: if AllInputTerms is J then AllOutputTerms is K + rule: if AllInputTerms is K then AllOutputTerms is J + rule: if AllInputTerms is L then AllOutputTerms is I + rule: if AllInputTerms is M then AllOutputTerms is H + rule: if AllInputTerms is N then AllOutputTerms is G + rule: if AllInputTerms is O then AllOutputTerms is F + rule: if AllInputTerms is P then AllOutputTerms is E + rule: if AllInputTerms is Q then AllOutputTerms is D + rule: if AllInputTerms is R then AllOutputTerms is C + rule: if AllInputTerms is S then AllOutputTerms is B + rule: if AllInputTerms is T then AllOutputTerms is A" + +engine.fldFile = "AllTerms.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(AllInputTerms, AllOutputTerms)) + + geom_line(aes(color=AllOutputTerms), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("AllInputTerms vs AllOutputTerms") + +engine.plot.o1_i1 = ggplot(engine.df, aes(AllInputTerms, AllOutputTerms)) + + geom_line(aes(color=AllOutputTerms), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("AllOutputTerms vs AllInputTerms") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/AllTerms.cpp b/examples/mamdani/AllTerms.cpp index 7bb1f31..3d96ef5 100644 --- a/examples/mamdani/AllTerms.cpp +++ b/examples/mamdani/AllTerms.cpp @@ -1,94 +1,102 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("qtfuzzylite"); +engine->setName("AllTerms"); +engine->setDescription(""); -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("AllInputTerms"); -inputVariable->setRange(0.000, 6.500); -inputVariable->addTerm(new Sigmoid("A", 0.500, -20.000)); -inputVariable->addTerm(new ZShape("B", 0.000, 1.000)); -inputVariable->addTerm(new Ramp("C", 1.000, 0.000)); -inputVariable->addTerm(new Triangle("D", 0.500, 1.000, 1.500)); -inputVariable->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); -inputVariable->addTerm(new Concave("F", 0.850, 0.250)); -inputVariable->addTerm(new Rectangle("G", 1.750, 2.250)); -inputVariable->addTerm(Discrete::create("H", 10, 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); -inputVariable->addTerm(new Gaussian("I", 3.000, 0.200)); -inputVariable->addTerm(new Cosine("J", 3.250, 0.650)); -inputVariable->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); -inputVariable->addTerm(new Spike("L", 3.640, 1.040)); -inputVariable->addTerm(new Bell("M", 4.000, 0.250, 3.000)); -inputVariable->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); -inputVariable->addTerm(new Concave("O", 5.650, 6.250)); -inputVariable->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); -inputVariable->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); -inputVariable->addTerm(new Ramp("R", 5.500, 6.500)); -inputVariable->addTerm(new SShape("S", 5.500, 6.500)); -inputVariable->addTerm(new Sigmoid("T", 6.000, 20.000)); -engine->addInputVariable(inputVariable); +InputVariable* AllInputTerms = new InputVariable; +AllInputTerms->setName("AllInputTerms"); +AllInputTerms->setDescription(""); +AllInputTerms->setEnabled(true); +AllInputTerms->setRange(0.000, 6.500); +AllInputTerms->setLockValueInRange(false); +AllInputTerms->addTerm(new Sigmoid("A", 0.500, -20.000)); +AllInputTerms->addTerm(new ZShape("B", 0.000, 1.000)); +AllInputTerms->addTerm(new Ramp("C", 1.000, 0.000)); +AllInputTerms->addTerm(new Triangle("D", 0.500, 1.000, 1.500)); +AllInputTerms->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); +AllInputTerms->addTerm(new Concave("F", 0.850, 0.250)); +AllInputTerms->addTerm(new Rectangle("G", 1.750, 2.250)); +AllInputTerms->addTerm(Discrete::create("H", 10, 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); +AllInputTerms->addTerm(new Gaussian("I", 3.000, 0.200)); +AllInputTerms->addTerm(new Cosine("J", 3.250, 0.650)); +AllInputTerms->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); +AllInputTerms->addTerm(new Spike("L", 3.640, 1.040)); +AllInputTerms->addTerm(new Bell("M", 4.000, 0.250, 3.000)); +AllInputTerms->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); +AllInputTerms->addTerm(new Concave("O", 5.650, 6.250)); +AllInputTerms->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); +AllInputTerms->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); +AllInputTerms->addTerm(new Ramp("R", 5.500, 6.500)); +AllInputTerms->addTerm(new SShape("S", 5.500, 6.500)); +AllInputTerms->addTerm(new Sigmoid("T", 6.000, 20.000)); +engine->addInputVariable(AllInputTerms); -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("AllOutputTerms"); -outputVariable->setRange(0.000, 6.500); -outputVariable->fuzzyOutput()->setAccumulation(new Maximum); -outputVariable->setDefuzzifier(new Centroid(200)); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(new Sigmoid("A", 0.500, -20.000)); -outputVariable->addTerm(new ZShape("B", 0.000, 1.000)); -outputVariable->addTerm(new Ramp("C", 1.000, 0.000)); -outputVariable->addTerm(new Triangle("D", 0.500, 1.000, 1.500)); -outputVariable->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); -outputVariable->addTerm(new Concave("F", 0.850, 0.250)); -outputVariable->addTerm(new Rectangle("G", 1.750, 2.250)); -outputVariable->addTerm(Discrete::create("H", 10, 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); -outputVariable->addTerm(new Gaussian("I", 3.000, 0.200)); -outputVariable->addTerm(new Cosine("J", 3.250, 0.650)); -outputVariable->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); -outputVariable->addTerm(new Spike("L", 3.640, 1.040)); -outputVariable->addTerm(new Bell("M", 4.000, 0.250, 3.000)); -outputVariable->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); -outputVariable->addTerm(new Concave("O", 5.650, 6.250)); -outputVariable->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); -outputVariable->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); -outputVariable->addTerm(new Ramp("R", 5.500, 6.500)); -outputVariable->addTerm(new SShape("S", 5.500, 6.500)); -outputVariable->addTerm(new Sigmoid("T", 6.000, 20.000)); -engine->addOutputVariable(outputVariable); +OutputVariable* AllOutputTerms = new OutputVariable; +AllOutputTerms->setName("AllOutputTerms"); +AllOutputTerms->setDescription(""); +AllOutputTerms->setEnabled(true); +AllOutputTerms->setRange(0.000, 6.500); +AllOutputTerms->setLockValueInRange(false); +AllOutputTerms->setAggregation(new Maximum); +AllOutputTerms->setDefuzzifier(new Centroid(200)); +AllOutputTerms->setDefaultValue(fl::nan); +AllOutputTerms->setLockPreviousValue(false); +AllOutputTerms->addTerm(new Sigmoid("A", 0.500, -20.000)); +AllOutputTerms->addTerm(new ZShape("B", 0.000, 1.000)); +AllOutputTerms->addTerm(new Ramp("C", 1.000, 0.000)); +AllOutputTerms->addTerm(new Triangle("D", 0.500, 1.000, 1.500)); +AllOutputTerms->addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); +AllOutputTerms->addTerm(new Concave("F", 0.850, 0.250)); +AllOutputTerms->addTerm(new Rectangle("G", 1.750, 2.250)); +AllOutputTerms->addTerm(Discrete::create("H", 10, 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); +AllOutputTerms->addTerm(new Gaussian("I", 3.000, 0.200)); +AllOutputTerms->addTerm(new Cosine("J", 3.250, 0.650)); +AllOutputTerms->addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); +AllOutputTerms->addTerm(new Spike("L", 3.640, 1.040)); +AllOutputTerms->addTerm(new Bell("M", 4.000, 0.250, 3.000)); +AllOutputTerms->addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); +AllOutputTerms->addTerm(new Concave("O", 5.650, 6.250)); +AllOutputTerms->addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); +AllOutputTerms->addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); +AllOutputTerms->addTerm(new Ramp("R", 5.500, 6.500)); +AllOutputTerms->addTerm(new SShape("S", 5.500, 6.500)); +AllOutputTerms->addTerm(new Sigmoid("T", 6.000, 20.000)); +engine->addOutputVariable(AllOutputTerms); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new Minimum); ruleBlock->setDisjunction(new Maximum); -ruleBlock->setActivation(new Minimum); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is A then AllOutputTerms is T", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is B then AllOutputTerms is S", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is C then AllOutputTerms is R", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is D then AllOutputTerms is Q", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is E then AllOutputTerms is P", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is F then AllOutputTerms is O", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is G then AllOutputTerms is N", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is H then AllOutputTerms is M", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is I then AllOutputTerms is L", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is J then AllOutputTerms is K", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is K then AllOutputTerms is J", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is L then AllOutputTerms is I", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is M then AllOutputTerms is H", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is N then AllOutputTerms is G", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is O then AllOutputTerms is F", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is P then AllOutputTerms is E", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is Q then AllOutputTerms is D", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is R then AllOutputTerms is C", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is S then AllOutputTerms is B", engine)); -ruleBlock->addRule(fl::Rule::parse("if AllInputTerms is T then AllOutputTerms is A", engine)); +ruleBlock->setImplication(new Minimum); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if AllInputTerms is A then AllOutputTerms is T", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is B then AllOutputTerms is S", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is C then AllOutputTerms is R", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is D then AllOutputTerms is Q", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is E then AllOutputTerms is P", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is F then AllOutputTerms is O", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is G then AllOutputTerms is N", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is H then AllOutputTerms is M", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is I then AllOutputTerms is L", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is J then AllOutputTerms is K", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is K then AllOutputTerms is J", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is L then AllOutputTerms is I", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is M then AllOutputTerms is H", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is N then AllOutputTerms is G", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is O then AllOutputTerms is F", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is P then AllOutputTerms is E", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is Q then AllOutputTerms is D", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is R then AllOutputTerms is C", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is S then AllOutputTerms is B", engine)); +ruleBlock->addRule(Rule::parse("if AllInputTerms is T then AllOutputTerms is A", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/mamdani/AllTerms.fcl b/examples/mamdani/AllTerms.fcl index ef08722..0c56fd6 100644 --- a/examples/mamdani/AllTerms.fcl +++ b/examples/mamdani/AllTerms.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK qtfuzzylite +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK AllTerms VAR_INPUT AllInputTerms: REAL; diff --git a/examples/mamdani/AllTerms.fis b/examples/mamdani/AllTerms.fis index 61a6d18..d34e487 100644 --- a/examples/mamdani/AllTerms.fis +++ b/examples/mamdani/AllTerms.fis @@ -1,6 +1,9 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='qtfuzzylite' +Name='AllTerms' Type='mamdani' +Version=6.0 NumInputs=1 NumOutputs=1 NumRules=20 diff --git a/examples/mamdani/AllTerms.fld b/examples/mamdani/AllTerms.fld index 95116fa..b765a5b 100644 --- a/examples/mamdani/AllTerms.fld +++ b/examples/mamdani/AllTerms.fld @@ -1,1026 +1,1025 @@ -#@Engine: qtfuzzylite; -#@InputVariable: AllInputTerms; @OutputVariable: AllOutputTerms; -0.00000000 4.59989528 -0.00635386 4.59989528 -0.01270772 4.59989528 -0.01906158 4.59989215 -0.02541544 4.59988508 -0.03176931 4.59987800 -0.03812317 4.59987091 -0.04447703 4.59986380 -0.05083089 4.59985436 -0.05718475 4.59984014 -0.06353861 4.59982589 -0.06989247 4.59981161 -0.07624633 4.59979731 -0.08260020 4.59978148 -0.08895406 4.59976002 -0.09530792 4.59973853 -0.10166178 4.59971699 -0.10801564 4.59969542 -0.11436950 4.59967311 -0.12072336 4.59964434 -0.12707722 4.59961551 -0.13343109 4.59958663 -0.13978495 4.59955769 -0.14613881 4.59952871 -0.15249267 4.59949265 -0.15884653 4.59945641 -0.16520039 4.59942010 -0.17155425 4.59938372 -0.17790811 4.59934727 -0.18426197 4.59930456 -0.19061584 4.59926081 -0.19696970 4.59921698 -0.20332356 4.59917307 -0.20967742 4.59912907 -0.21603128 4.59907961 -0.22238514 4.59902827 -0.22873900 4.59897684 -0.23509286 4.59892531 -0.24144673 4.59887368 -0.24780059 4.59881738 -0.25415445 4.59691917 -0.26050831 4.59649344 -0.26686217 4.59613763 -0.27321603 4.59574220 -0.27956989 4.59527472 -0.28592375 4.59472722 -0.29227761 4.59411601 -0.29863148 4.59343292 -0.30498534 4.59266881 -0.31133920 4.59177691 -0.31769306 4.59072170 -0.32404692 4.58953931 -0.33040078 4.58821415 -0.33675464 4.58672898 -0.34310850 4.58501913 -0.34946237 4.58298678 -0.35581623 4.58071110 -0.36217009 4.57816482 -0.36852395 4.57531844 -0.37487781 4.57209253 -0.38123167 4.56826124 -0.38758553 4.56399478 -0.39393939 4.55925255 -0.40029326 4.55399273 -0.40664712 4.54814499 -0.41300098 4.54124963 -0.41935484 4.53365966 -0.42570870 4.52533306 -0.43206256 4.51623220 -0.43841642 4.50632570 -0.44477028 4.49679479 -0.45112414 4.49371013 -0.45747801 4.49066211 -0.46383187 4.48765002 -0.47018573 4.48467321 -0.47653959 4.48157929 -0.48289345 4.47849013 -0.48924731 4.47543574 -0.49560117 4.47241549 -0.50195503 4.46942878 -0.50830890 4.46635382 -0.51466276 4.46326454 -0.52101662 4.46020827 -0.52737048 4.45718444 -0.53372434 4.45419251 -0.54007820 4.45113732 -0.54643206 4.44805138 -0.55278592 4.44499678 -0.55913978 4.44197300 -0.56549365 4.43897956 -0.57184751 4.43594462 -0.57820137 4.43286470 -0.58455523 4.42981456 -0.59090909 4.42679371 -0.59726295 4.42380172 -0.60361681 4.42078721 -0.60997067 4.41771542 -0.61632454 4.41467191 -0.62267840 4.41165627 -0.62903226 4.40866808 -0.63538612 4.40567398 -0.64173998 4.40261191 -0.64809384 4.39957674 -0.65444770 4.39656808 -0.66080156 4.39358555 -0.66715543 4.39061167 -0.67350929 4.38756054 -0.67986315 4.38453499 -0.68621701 4.38153468 -0.69257087 4.37880303 -0.69892473 4.37647513 -0.70527859 4.37447251 -0.71163245 4.37287629 -0.71798631 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AllInputTerms OutputVariable: AllOutputTerms enabled: true range: 0.000 6.500 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: A Sigmoid 0.500 -20.000 term: B ZShape 0.000 1.000 term: C Ramp 1.000 0.000 @@ -54,7 +55,8 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: Maximum - activation: Minimum + implication: Minimum + activation: General rule: if AllInputTerms is A then AllOutputTerms is T rule: if AllInputTerms is B then AllOutputTerms is S rule: if AllInputTerms is C then AllOutputTerms is R diff --git a/examples/mamdani/AllTerms.java b/examples/mamdani/AllTerms.java index c59f9a1..6d4651d 100644 --- a/examples/mamdani/AllTerms.java +++ b/examples/mamdani/AllTerms.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,72 +13,80 @@ import com.fuzzylite.variable.*; public class AllTerms{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("qtfuzzylite"); +engine.setName("AllTerms"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("AllInputTerms"); -inputVariable.setRange(0.000, 6.500); -inputVariable.addTerm(new Sigmoid("A", 0.500, -20.000)); -inputVariable.addTerm(new ZShape("B", 0.000, 1.000)); -inputVariable.addTerm(new Ramp("C", 1.000, 0.000)); -inputVariable.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); -inputVariable.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); -inputVariable.addTerm(new Concave("F", 0.850, 0.250)); -inputVariable.addTerm(new Rectangle("G", 1.750, 2.250)); -inputVariable.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); -inputVariable.addTerm(new Gaussian("I", 3.000, 0.200)); -inputVariable.addTerm(new Cosine("J", 3.250, 0.650)); -inputVariable.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); -inputVariable.addTerm(new Spike("L", 3.640, 1.040)); -inputVariable.addTerm(new Bell("M", 4.000, 0.250, 3.000)); -inputVariable.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); -inputVariable.addTerm(new Concave("O", 5.650, 6.250)); -inputVariable.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); -inputVariable.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); -inputVariable.addTerm(new Ramp("R", 5.500, 6.500)); -inputVariable.addTerm(new SShape("S", 5.500, 6.500)); -inputVariable.addTerm(new Sigmoid("T", 6.000, 20.000)); -engine.addInputVariable(inputVariable); +InputVariable AllInputTerms = new InputVariable(); +AllInputTerms.setName("AllInputTerms"); +AllInputTerms.setDescription(""); +AllInputTerms.setEnabled(true); +AllInputTerms.setRange(0.000, 6.500); +AllInputTerms.setLockValueInRange(false); +AllInputTerms.addTerm(new Sigmoid("A", 0.500, -20.000)); +AllInputTerms.addTerm(new ZShape("B", 0.000, 1.000)); +AllInputTerms.addTerm(new Ramp("C", 1.000, 0.000)); +AllInputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); +AllInputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); +AllInputTerms.addTerm(new Concave("F", 0.850, 0.250)); +AllInputTerms.addTerm(new Rectangle("G", 1.750, 2.250)); +AllInputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); +AllInputTerms.addTerm(new Gaussian("I", 3.000, 0.200)); +AllInputTerms.addTerm(new Cosine("J", 3.250, 0.650)); +AllInputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); +AllInputTerms.addTerm(new Spike("L", 3.640, 1.040)); +AllInputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000)); +AllInputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); +AllInputTerms.addTerm(new Concave("O", 5.650, 6.250)); +AllInputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); +AllInputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); +AllInputTerms.addTerm(new Ramp("R", 5.500, 6.500)); +AllInputTerms.addTerm(new SShape("S", 5.500, 6.500)); +AllInputTerms.addTerm(new Sigmoid("T", 6.000, 20.000)); +engine.addInputVariable(AllInputTerms); -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("AllOutputTerms"); -outputVariable.setRange(0.000, 6.500); -outputVariable.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable.setDefuzzifier(new Centroid(200)); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Sigmoid("A", 0.500, -20.000)); -outputVariable.addTerm(new ZShape("B", 0.000, 1.000)); -outputVariable.addTerm(new Ramp("C", 1.000, 0.000)); -outputVariable.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); -outputVariable.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); -outputVariable.addTerm(new Concave("F", 0.850, 0.250)); -outputVariable.addTerm(new Rectangle("G", 1.750, 2.250)); -outputVariable.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); -outputVariable.addTerm(new Gaussian("I", 3.000, 0.200)); -outputVariable.addTerm(new Cosine("J", 3.250, 0.650)); -outputVariable.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); -outputVariable.addTerm(new Spike("L", 3.640, 1.040)); -outputVariable.addTerm(new Bell("M", 4.000, 0.250, 3.000)); -outputVariable.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); -outputVariable.addTerm(new Concave("O", 5.650, 6.250)); -outputVariable.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); -outputVariable.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); -outputVariable.addTerm(new Ramp("R", 5.500, 6.500)); -outputVariable.addTerm(new SShape("S", 5.500, 6.500)); -outputVariable.addTerm(new Sigmoid("T", 6.000, 20.000)); -engine.addOutputVariable(outputVariable); +OutputVariable AllOutputTerms = new OutputVariable(); +AllOutputTerms.setName("AllOutputTerms"); +AllOutputTerms.setDescription(""); +AllOutputTerms.setEnabled(true); +AllOutputTerms.setRange(0.000, 6.500); +AllOutputTerms.setLockValueInRange(false); +AllOutputTerms.setAggregation(new Maximum()); +AllOutputTerms.setDefuzzifier(new Centroid(200)); +AllOutputTerms.setDefaultValue(Double.NaN); +AllOutputTerms.setLockPreviousValue(false); +AllOutputTerms.addTerm(new Sigmoid("A", 0.500, -20.000)); +AllOutputTerms.addTerm(new ZShape("B", 0.000, 1.000)); +AllOutputTerms.addTerm(new Ramp("C", 1.000, 0.000)); +AllOutputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); +AllOutputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); +AllOutputTerms.addTerm(new Concave("F", 0.850, 0.250)); +AllOutputTerms.addTerm(new Rectangle("G", 1.750, 2.250)); +AllOutputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); +AllOutputTerms.addTerm(new Gaussian("I", 3.000, 0.200)); +AllOutputTerms.addTerm(new Cosine("J", 3.250, 0.650)); +AllOutputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); +AllOutputTerms.addTerm(new Spike("L", 3.640, 1.040)); +AllOutputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000)); +AllOutputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); +AllOutputTerms.addTerm(new Concave("O", 5.650, 6.250)); +AllOutputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); +AllOutputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); +AllOutputTerms.addTerm(new Ramp("R", 5.500, 6.500)); +AllOutputTerms.addTerm(new SShape("S", 5.500, 6.500)); +AllOutputTerms.addTerm(new Sigmoid("T", 6.000, 20.000)); +engine.addOutputVariable(AllOutputTerms); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new Minimum()); ruleBlock.setDisjunction(new Maximum()); -ruleBlock.setActivation(new Minimum()); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if AllInputTerms is A then AllOutputTerms is T", engine)); ruleBlock.addRule(Rule.parse("if AllInputTerms is B then AllOutputTerms is S", engine)); ruleBlock.addRule(Rule.parse("if AllInputTerms is C then AllOutputTerms is R", engine)); diff --git a/examples/mamdani/AllTerms.pdf b/examples/mamdani/AllTerms.pdf Binary files differnew file mode 100644 index 0000000..ed71111 --- /dev/null +++ b/examples/mamdani/AllTerms.pdf diff --git a/examples/mamdani/Laundry.R b/examples/mamdani/Laundry.R new file mode 100644 index 0000000..ca7d73d --- /dev/null +++ b/examples/mamdani/Laundry.R @@ -0,0 +1,91 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "Laundry" +engine.fll = "Engine: Laundry +InputVariable: Load + enabled: true + range: 0.000 6.000 + lock-range: false + term: small Discrete 0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000 + term: normal Discrete 3.000 0.000 4.000 1.000 6.000 0.000 +InputVariable: Dirt + enabled: true + range: 0.000 6.000 + lock-range: false + term: low Discrete 0.000 1.000 2.000 0.800 5.000 0.000 + term: high Discrete 1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000 +OutputVariable: Detergent + enabled: true + range: 0.000 80.000 + lock-range: false + aggregation: Maximum + defuzzifier: MeanOfMaximum 500 + default: nan + lock-previous: false + term: less_than_usual Discrete 10.000 0.000 40.000 1.000 50.000 0.000 + term: usual Discrete 40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000 + term: more_than_usual Discrete 50.000 0.000 80.000 1.000 +OutputVariable: Cycle + enabled: true + range: 0.000 20.000 + lock-range: false + aggregation: Maximum + defuzzifier: MeanOfMaximum 500 + default: nan + lock-previous: false + term: short Discrete 0.000 1.000 10.000 1.000 20.000 0.000 + term: long Discrete 10.000 0.000 20.000 1.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: Maximum + implication: Minimum + activation: General + rule: if Load is small and Dirt is not high then Detergent is less_than_usual + rule: if Load is small and Dirt is high then Detergent is usual + rule: if Load is normal and Dirt is low then Detergent is less_than_usual + rule: if Load is normal and Dirt is high then Detergent is more_than_usual + rule: if Detergent is usual or Detergent is less_than_usual then Cycle is short + rule: if Detergent is more_than_usual then Cycle is long" + +engine.fldFile = "Laundry.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(Load, Dirt)) + + geom_tile(aes(fill=Detergent)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Load, y=Dirt, z=Detergent), color="black") + + ggtitle("(Load, Dirt) = Detergent") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(Dirt, Load)) + + geom_tile(aes(fill=Detergent)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Dirt, y=Load, z=Detergent), color="black") + + ggtitle("(Dirt, Load) = Detergent") + +engine.plot.i1i2_o2 = ggplot(engine.df, aes(Load, Dirt)) + + geom_tile(aes(fill=Cycle)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Load, y=Dirt, z=Cycle), color="black") + + ggtitle("(Load, Dirt) = Cycle") + +engine.plot.i2i1_o2 = ggplot(engine.df, aes(Dirt, Load)) + + geom_tile(aes(fill=Cycle)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Dirt, y=Load, z=Cycle), color="black") + + ggtitle("(Dirt, Load) = Cycle") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/Laundry.cpp b/examples/mamdani/Laundry.cpp index 7fbcb11..cc7492c 100644 --- a/examples/mamdani/Laundry.cpp +++ b/examples/mamdani/Laundry.cpp @@ -1,66 +1,77 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; engine->setName("Laundry"); +engine->setDescription(""); -InputVariable* inputVariable1 = new InputVariable; -inputVariable1->setEnabled(true); -inputVariable1->setName("Load"); -inputVariable1->setRange(0.000, 6.000); -inputVariable1->addTerm(Discrete::create("small", 8, 0.000, 1.000, 1.000, 1.000, 2.000, 0.800, 5.000, 0.000)); -inputVariable1->addTerm(Discrete::create("normal", 6, 3.000, 0.000, 4.000, 1.000, 6.000, 0.000)); -engine->addInputVariable(inputVariable1); +InputVariable* Load = new InputVariable; +Load->setName("Load"); +Load->setDescription(""); +Load->setEnabled(true); +Load->setRange(0.000, 6.000); +Load->setLockValueInRange(false); +Load->addTerm(Discrete::create("small", 8, 0.000, 1.000, 1.000, 1.000, 2.000, 0.800, 5.000, 0.000)); +Load->addTerm(Discrete::create("normal", 6, 3.000, 0.000, 4.000, 1.000, 6.000, 0.000)); +engine->addInputVariable(Load); -InputVariable* inputVariable2 = new InputVariable; -inputVariable2->setEnabled(true); -inputVariable2->setName("Dirt"); -inputVariable2->setRange(0.000, 6.000); -inputVariable2->addTerm(Discrete::create("low", 6, 0.000, 1.000, 2.000, 0.800, 5.000, 0.000)); -inputVariable2->addTerm(Discrete::create("high", 8, 1.000, 0.000, 2.000, 0.200, 4.000, 0.800, 6.000, 1.000)); -engine->addInputVariable(inputVariable2); +InputVariable* Dirt = new InputVariable; +Dirt->setName("Dirt"); +Dirt->setDescription(""); +Dirt->setEnabled(true); +Dirt->setRange(0.000, 6.000); +Dirt->setLockValueInRange(false); +Dirt->addTerm(Discrete::create("low", 6, 0.000, 1.000, 2.000, 0.800, 5.000, 0.000)); +Dirt->addTerm(Discrete::create("high", 8, 1.000, 0.000, 2.000, 0.200, 4.000, 0.800, 6.000, 1.000)); +engine->addInputVariable(Dirt); -OutputVariable* outputVariable1 = new OutputVariable; -outputVariable1->setEnabled(true); -outputVariable1->setName("Detergent"); -outputVariable1->setRange(0.000, 80.000); -outputVariable1->fuzzyOutput()->setAccumulation(new Maximum); -outputVariable1->setDefuzzifier(new MeanOfMaximum(500)); -outputVariable1->setDefaultValue(fl::nan); -outputVariable1->setLockPreviousOutputValue(false); -outputVariable1->setLockOutputValueInRange(false); -outputVariable1->addTerm(Discrete::create("less", 6, 10.000, 0.000, 40.000, 1.000, 50.000, 0.000)); -outputVariable1->addTerm(Discrete::create("normal", 8, 40.000, 0.000, 50.000, 1.000, 60.000, 1.000, 80.000, 0.000)); -outputVariable1->addTerm(Discrete::create("more", 4, 50.000, 0.000, 80.000, 1.000)); -engine->addOutputVariable(outputVariable1); +OutputVariable* Detergent = new OutputVariable; +Detergent->setName("Detergent"); +Detergent->setDescription(""); +Detergent->setEnabled(true); +Detergent->setRange(0.000, 80.000); +Detergent->setLockValueInRange(false); +Detergent->setAggregation(new Maximum); +Detergent->setDefuzzifier(new MeanOfMaximum(500)); +Detergent->setDefaultValue(fl::nan); +Detergent->setLockPreviousValue(false); +Detergent->addTerm(Discrete::create("less_than_usual", 6, 10.000, 0.000, 40.000, 1.000, 50.000, 0.000)); +Detergent->addTerm(Discrete::create("usual", 8, 40.000, 0.000, 50.000, 1.000, 60.000, 1.000, 80.000, 0.000)); +Detergent->addTerm(Discrete::create("more_than_usual", 4, 50.000, 0.000, 80.000, 1.000)); +engine->addOutputVariable(Detergent); -OutputVariable* outputVariable2 = new OutputVariable; -outputVariable2->setEnabled(true); -outputVariable2->setName("Cycle"); -outputVariable2->setRange(0.000, 20.000); -outputVariable2->fuzzyOutput()->setAccumulation(new Maximum); -outputVariable2->setDefuzzifier(new MeanOfMaximum(500)); -outputVariable2->setDefaultValue(fl::nan); -outputVariable2->setLockPreviousOutputValue(false); -outputVariable2->setLockOutputValueInRange(false); -outputVariable2->addTerm(Discrete::create("short", 6, 0.000, 1.000, 10.000, 1.000, 20.000, 0.000)); -outputVariable2->addTerm(Discrete::create("long", 4, 10.000, 0.000, 20.000, 1.000)); -engine->addOutputVariable(outputVariable2); +OutputVariable* Cycle = new OutputVariable; +Cycle->setName("Cycle"); +Cycle->setDescription(""); +Cycle->setEnabled(true); +Cycle->setRange(0.000, 20.000); +Cycle->setLockValueInRange(false); +Cycle->setAggregation(new Maximum); +Cycle->setDefuzzifier(new MeanOfMaximum(500)); +Cycle->setDefaultValue(fl::nan); +Cycle->setLockPreviousValue(false); +Cycle->addTerm(Discrete::create("short", 6, 0.000, 1.000, 10.000, 1.000, 20.000, 0.000)); +Cycle->addTerm(Discrete::create("long", 4, 10.000, 0.000, 20.000, 1.000)); +engine->addOutputVariable(Cycle); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new Minimum); ruleBlock->setDisjunction(new Maximum); -ruleBlock->setActivation(new Minimum); -ruleBlock->addRule(fl::Rule::parse("if Load is small and Dirt is not high then Detergent is less", engine)); -ruleBlock->addRule(fl::Rule::parse("if Load is small and Dirt is high then Detergent is normal", engine)); -ruleBlock->addRule(fl::Rule::parse("if Load is normal and Dirt is low then Detergent is less", engine)); -ruleBlock->addRule(fl::Rule::parse("if Load is normal and Dirt is high then Detergent is more", engine)); -ruleBlock->addRule(fl::Rule::parse("if Detergent is normal or Detergent is less then Cycle is short", engine)); -ruleBlock->addRule(fl::Rule::parse("if Detergent is more then Cycle is long", engine)); +ruleBlock->setImplication(new Minimum); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if Load is small and Dirt is not high then Detergent is less_than_usual", engine)); +ruleBlock->addRule(Rule::parse("if Load is small and Dirt is high then Detergent is usual", engine)); +ruleBlock->addRule(Rule::parse("if Load is normal and Dirt is low then Detergent is less_than_usual", engine)); +ruleBlock->addRule(Rule::parse("if Load is normal and Dirt is high then Detergent is more_than_usual", engine)); +ruleBlock->addRule(Rule::parse("if Detergent is usual or Detergent is less_than_usual then Cycle is short", engine)); +ruleBlock->addRule(Rule::parse("if Detergent is more_than_usual then Cycle is long", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/mamdani/Laundry.fcl b/examples/mamdani/Laundry.fcl index a5d5380..9a34532 100644 --- a/examples/mamdani/Laundry.fcl +++ b/examples/mamdani/Laundry.fcl @@ -1,3 +1,5 @@ +//Code automatically generated with fuzzylite 6.0. + FUNCTION_BLOCK Laundry VAR_INPUT @@ -24,9 +26,9 @@ END_FUZZIFY DEFUZZIFY Detergent RANGE := (0.000 .. 80.000); - TERM less := (10.000, 0.000) (40.000, 1.000) (50.000, 0.000); - TERM normal := (40.000, 0.000) (50.000, 1.000) (60.000, 1.000) (80.000, 0.000); - TERM more := (50.000, 0.000) (80.000, 1.000); + TERM less_than_usual := (10.000, 0.000) (40.000, 1.000) (50.000, 0.000); + TERM usual := (40.000, 0.000) (50.000, 1.000) (60.000, 1.000) (80.000, 0.000); + TERM more_than_usual := (50.000, 0.000) (80.000, 1.000); METHOD : MM; ACCU : MAX; DEFAULT := nan; @@ -45,12 +47,12 @@ RULEBLOCK AND : MIN; OR : MAX; ACT : MIN; - RULE 1 : if Load is small and Dirt is not high then Detergent is less - RULE 2 : if Load is small and Dirt is high then Detergent is normal - RULE 3 : if Load is normal and Dirt is low then Detergent is less - RULE 4 : if Load is normal and Dirt is high then Detergent is more - RULE 5 : if Detergent is normal or Detergent is less then Cycle is short - RULE 6 : if Detergent is more then Cycle is long + RULE 1 : if Load is small and Dirt is not high then Detergent is less_than_usual + RULE 2 : if Load is small and Dirt is high then Detergent is usual + RULE 3 : if Load is normal and Dirt is low then Detergent is less_than_usual + RULE 4 : if Load is normal and Dirt is high then Detergent is more_than_usual + RULE 5 : if Detergent is usual or Detergent is less_than_usual then Cycle is short + RULE 6 : if Detergent is more_than_usual then Cycle is long END_RULEBLOCK END_FUNCTION_BLOCK diff --git a/examples/mamdani/Laundry.fis b/examples/mamdani/Laundry.fis new file mode 100644 index 0000000..7f1c31d --- /dev/null +++ b/examples/mamdani/Laundry.fis @@ -0,0 +1,51 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='Laundry' +Type='mamdani' +Version=6.0 +NumInputs=2 +NumOutputs=2 +NumRules=6 +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='mom' + +[Input1] +Name='Load' +Range=[0.000 6.000] +NumMFs=2 +MF1='small':'discretemf',[0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000] +MF2='normal':'discretemf',[3.000 0.000 4.000 1.000 6.000 0.000] + +[Input2] +Name='Dirt' +Range=[0.000 6.000] +NumMFs=2 +MF1='low':'discretemf',[0.000 1.000 2.000 0.800 5.000 0.000] +MF2='high':'discretemf',[1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000] + +[Output1] +Name='Detergent' +Range=[0.000 80.000] +NumMFs=3 +MF1='less_than_usual':'discretemf',[10.000 0.000 40.000 1.000 50.000 0.000] +MF2='usual':'discretemf',[40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000] +MF3='more_than_usual':'discretemf',[50.000 0.000 80.000 1.000] + +[Output2] +Name='Cycle' +Range=[0.000 20.000] +NumMFs=2 +MF1='short':'discretemf',[0.000 1.000 10.000 1.000 20.000 0.000] +MF2='long':'discretemf',[10.000 0.000 20.000 1.000] + +[Rules] +1.000 -2.000 , 1.000 0.000 (1.000) : 1 +1.000 2.000 , 2.000 0.000 (1.000) : 1 +2.000 1.000 , 1.000 0.000 (1.000) : 1 +2.000 2.000 , 3.000 0.000 (1.000) : 1 +0.000 0.000 , 0.000 1.000 (1.000) : 2 +0.000 0.000 , 0.000 2.000 (1.000) : 1 diff --git a/examples/mamdani/Laundry.fld b/examples/mamdani/Laundry.fld index f72dfb6..a8f27dd 100644 --- a/examples/mamdani/Laundry.fld +++ b/examples/mamdani/Laundry.fld @@ -1,1026 +1,1025 @@ -#@Engine: Laundry; -#@InputVariable: Load; @InputVariable: Dirt; @OutputVariable: Detergent; @OutputVariable: Cycle; -0.00000000 0.00000000 39.92000000 5.00000000 -0.00000000 0.19354839 39.92000000 5.00000000 -0.00000000 0.38709677 39.92000000 5.00000000 -0.00000000 0.58064516 39.92000000 5.00000000 -0.00000000 0.77419355 39.92000000 5.00000000 -0.00000000 0.96774194 39.92000000 5.00000000 -0.00000000 1.16129032 39.68000000 5.16000000 -0.00000000 1.35483871 39.28000000 5.36000000 -0.00000000 1.54838710 38.88000000 5.54000000 -0.00000000 1.74193548 38.48000000 5.74000000 -0.00000000 1.93548387 38.16000000 5.94000000 -0.00000000 2.12903226 37.60000000 6.20000000 -0.00000000 2.32258065 37.04000000 6.48000000 -0.00000000 2.51612903 36.40000000 6.78000000 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+6.000000000 4.451612903 nan nan +6.000000000 4.645161290 nan nan +6.000000000 4.838709677 nan nan +6.000000000 5.032258065 nan nan +6.000000000 5.225806452 nan nan +6.000000000 5.419354839 nan nan +6.000000000 5.612903226 nan nan +6.000000000 5.806451613 nan nan +6.000000000 6.000000000 nan nan diff --git a/examples/mamdani/Laundry.fll b/examples/mamdani/Laundry.fll index ef6fd44..6abf2df 100644 --- a/examples/mamdani/Laundry.fll +++ b/examples/mamdani/Laundry.fll @@ -2,42 +2,45 @@ Engine: Laundry InputVariable: Load enabled: true range: 0.000 6.000 + lock-range: false term: small Discrete 0.000 1.000 1.000 1.000 2.000 0.800 5.000 0.000 term: normal Discrete 3.000 0.000 4.000 1.000 6.000 0.000 InputVariable: Dirt enabled: true range: 0.000 6.000 + lock-range: false term: low Discrete 0.000 1.000 2.000 0.800 5.000 0.000 term: high Discrete 1.000 0.000 2.000 0.200 4.000 0.800 6.000 1.000 OutputVariable: Detergent enabled: true range: 0.000 80.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: MeanOfMaximum 500 default: nan lock-previous: false - lock-range: false - term: less Discrete 10.000 0.000 40.000 1.000 50.000 0.000 - term: normal Discrete 40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000 - term: more Discrete 50.000 0.000 80.000 1.000 + term: less_than_usual Discrete 10.000 0.000 40.000 1.000 50.000 0.000 + term: usual Discrete 40.000 0.000 50.000 1.000 60.000 1.000 80.000 0.000 + term: more_than_usual Discrete 50.000 0.000 80.000 1.000 OutputVariable: Cycle enabled: true range: 0.000 20.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: MeanOfMaximum 500 default: nan lock-previous: false - lock-range: false term: short Discrete 0.000 1.000 10.000 1.000 20.000 0.000 term: long Discrete 10.000 0.000 20.000 1.000 RuleBlock: enabled: true conjunction: Minimum disjunction: Maximum - activation: Minimum - rule: if Load is small and Dirt is not high then Detergent is less - rule: if Load is small and Dirt is high then Detergent is normal - rule: if Load is normal and Dirt is low then Detergent is less - rule: if Load is normal and Dirt is high then Detergent is more - rule: if Detergent is normal or Detergent is less then Cycle is short - rule: if Detergent is more then Cycle is long
\ No newline at end of file + implication: Minimum + activation: General + rule: if Load is small and Dirt is not high then Detergent is less_than_usual + rule: if Load is small and Dirt is high then Detergent is usual + rule: if Load is normal and Dirt is low then Detergent is less_than_usual + rule: if Load is normal and Dirt is high then Detergent is more_than_usual + rule: if Detergent is usual or Detergent is less_than_usual then Cycle is short + rule: if Detergent is more_than_usual then Cycle is long
\ No newline at end of file diff --git a/examples/mamdani/Laundry.java b/examples/mamdani/Laundry.java index d45e77e..95cbe7c 100644 --- a/examples/mamdani/Laundry.java +++ b/examples/mamdani/Laundry.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,64 +13,75 @@ import com.fuzzylite.variable.*; public class Laundry{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); engine.setName("Laundry"); +engine.setDescription(""); -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("Load"); -inputVariable1.setRange(0.000, 6.000); -inputVariable1.addTerm(Discrete.create("small", 0.000, 1.000, 1.000, 1.000, 2.000, 0.800, 5.000, 0.000)); -inputVariable1.addTerm(Discrete.create("normal", 3.000, 0.000, 4.000, 1.000, 6.000, 0.000)); -engine.addInputVariable(inputVariable1); +InputVariable Load = new InputVariable(); +Load.setName("Load"); +Load.setDescription(""); +Load.setEnabled(true); +Load.setRange(0.000, 6.000); +Load.setLockValueInRange(false); +Load.addTerm(Discrete.create("small", 0.000, 1.000, 1.000, 1.000, 2.000, 0.800, 5.000, 0.000)); +Load.addTerm(Discrete.create("normal", 3.000, 0.000, 4.000, 1.000, 6.000, 0.000)); +engine.addInputVariable(Load); -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("Dirt"); -inputVariable2.setRange(0.000, 6.000); -inputVariable2.addTerm(Discrete.create("low", 0.000, 1.000, 2.000, 0.800, 5.000, 0.000)); -inputVariable2.addTerm(Discrete.create("high", 1.000, 0.000, 2.000, 0.200, 4.000, 0.800, 6.000, 1.000)); -engine.addInputVariable(inputVariable2); +InputVariable Dirt = new InputVariable(); +Dirt.setName("Dirt"); +Dirt.setDescription(""); +Dirt.setEnabled(true); +Dirt.setRange(0.000, 6.000); +Dirt.setLockValueInRange(false); +Dirt.addTerm(Discrete.create("low", 0.000, 1.000, 2.000, 0.800, 5.000, 0.000)); +Dirt.addTerm(Discrete.create("high", 1.000, 0.000, 2.000, 0.200, 4.000, 0.800, 6.000, 1.000)); +engine.addInputVariable(Dirt); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("Detergent"); -outputVariable1.setRange(0.000, 80.000); -outputVariable1.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable1.setDefuzzifier(new MeanOfMaximum(500)); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(false); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(Discrete.create("less", 10.000, 0.000, 40.000, 1.000, 50.000, 0.000)); -outputVariable1.addTerm(Discrete.create("normal", 40.000, 0.000, 50.000, 1.000, 60.000, 1.000, 80.000, 0.000)); -outputVariable1.addTerm(Discrete.create("more", 50.000, 0.000, 80.000, 1.000)); -engine.addOutputVariable(outputVariable1); +OutputVariable Detergent = new OutputVariable(); +Detergent.setName("Detergent"); +Detergent.setDescription(""); +Detergent.setEnabled(true); +Detergent.setRange(0.000, 80.000); +Detergent.setLockValueInRange(false); +Detergent.setAggregation(new Maximum()); +Detergent.setDefuzzifier(new MeanOfMaximum(500)); +Detergent.setDefaultValue(Double.NaN); +Detergent.setLockPreviousValue(false); +Detergent.addTerm(Discrete.create("less_than_usual", 10.000, 0.000, 40.000, 1.000, 50.000, 0.000)); +Detergent.addTerm(Discrete.create("usual", 40.000, 0.000, 50.000, 1.000, 60.000, 1.000, 80.000, 0.000)); +Detergent.addTerm(Discrete.create("more_than_usual", 50.000, 0.000, 80.000, 1.000)); +engine.addOutputVariable(Detergent); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("Cycle"); -outputVariable2.setRange(0.000, 20.000); -outputVariable2.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable2.setDefuzzifier(new MeanOfMaximum(500)); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(false); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(Discrete.create("short", 0.000, 1.000, 10.000, 1.000, 20.000, 0.000)); -outputVariable2.addTerm(Discrete.create("long", 10.000, 0.000, 20.000, 1.000)); -engine.addOutputVariable(outputVariable2); +OutputVariable Cycle = new OutputVariable(); +Cycle.setName("Cycle"); +Cycle.setDescription(""); +Cycle.setEnabled(true); +Cycle.setRange(0.000, 20.000); +Cycle.setLockValueInRange(false); +Cycle.setAggregation(new Maximum()); +Cycle.setDefuzzifier(new MeanOfMaximum(500)); +Cycle.setDefaultValue(Double.NaN); +Cycle.setLockPreviousValue(false); +Cycle.addTerm(Discrete.create("short", 0.000, 1.000, 10.000, 1.000, 20.000, 0.000)); +Cycle.addTerm(Discrete.create("long", 10.000, 0.000, 20.000, 1.000)); +engine.addOutputVariable(Cycle); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new Minimum()); ruleBlock.setDisjunction(new Maximum()); -ruleBlock.setActivation(new Minimum()); -ruleBlock.addRule(Rule.parse("if Load is small and Dirt is not high then Detergent is less", engine)); -ruleBlock.addRule(Rule.parse("if Load is small and Dirt is high then Detergent is normal", engine)); -ruleBlock.addRule(Rule.parse("if Load is normal and Dirt is low then Detergent is less", engine)); -ruleBlock.addRule(Rule.parse("if Load is normal and Dirt is high then Detergent is more", engine)); -ruleBlock.addRule(Rule.parse("if Detergent is normal or Detergent is less then Cycle is short", engine)); -ruleBlock.addRule(Rule.parse("if Detergent is more then Cycle is long", engine)); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); +ruleBlock.addRule(Rule.parse("if Load is small and Dirt is not high then Detergent is less_than_usual", engine)); +ruleBlock.addRule(Rule.parse("if Load is small and Dirt is high then Detergent is usual", engine)); +ruleBlock.addRule(Rule.parse("if Load is normal and Dirt is low then Detergent is less_than_usual", engine)); +ruleBlock.addRule(Rule.parse("if Load is normal and Dirt is high then Detergent is more_than_usual", engine)); +ruleBlock.addRule(Rule.parse("if Detergent is usual or Detergent is less_than_usual then Cycle is short", engine)); +ruleBlock.addRule(Rule.parse("if Detergent is more_than_usual then Cycle is long", engine)); engine.addRuleBlock(ruleBlock); diff --git a/examples/mamdani/Laundry.pdf b/examples/mamdani/Laundry.pdf Binary files differnew file mode 100644 index 0000000..42df3cf --- /dev/null +++ b/examples/mamdani/Laundry.pdf diff --git a/examples/mamdani/ObstacleAvoidance.R b/examples/mamdani/ObstacleAvoidance.R new file mode 100644 index 0000000..5533d26 --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.R @@ -0,0 +1,57 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "ObstacleAvoidance" +engine.fll = "Engine: ObstacleAvoidance +InputVariable: obstacle + enabled: true + range: 0.000 1.000 + lock-range: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: mSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 100 + default: nan + lock-previous: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +RuleBlock: mamdani + enabled: true + conjunction: none + disjunction: none + implication: AlgebraicProduct + activation: General + rule: if obstacle is left then mSteer is right + rule: if obstacle is right then mSteer is left" + +engine.fldFile = "ObstacleAvoidance.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(obstacle, mSteer)) + + geom_line(aes(color=mSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("obstacle vs mSteer") + +engine.plot.o1_i1 = ggplot(engine.df, aes(obstacle, mSteer)) + + geom_line(aes(color=mSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("mSteer vs obstacle") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/ObstacleAvoidance.cpp b/examples/mamdani/ObstacleAvoidance.cpp new file mode 100644 index 0000000..341ffe5 --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.cpp @@ -0,0 +1,49 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + +using namespace fl; + +Engine* engine = new Engine; +engine->setName("ObstacleAvoidance"); +engine->setDescription(""); + +InputVariable* obstacle = new InputVariable; +obstacle->setName("obstacle"); +obstacle->setDescription(""); +obstacle->setEnabled(true); +obstacle->setRange(0.000, 1.000); +obstacle->setLockValueInRange(false); +obstacle->addTerm(new Ramp("left", 1.000, 0.000)); +obstacle->addTerm(new Ramp("right", 0.000, 1.000)); +engine->addInputVariable(obstacle); + +OutputVariable* mSteer = new OutputVariable; +mSteer->setName("mSteer"); +mSteer->setDescription(""); +mSteer->setEnabled(true); +mSteer->setRange(0.000, 1.000); +mSteer->setLockValueInRange(false); +mSteer->setAggregation(new Maximum); +mSteer->setDefuzzifier(new Centroid(100)); +mSteer->setDefaultValue(fl::nan); +mSteer->setLockPreviousValue(false); +mSteer->addTerm(new Ramp("left", 1.000, 0.000)); +mSteer->addTerm(new Ramp("right", 0.000, 1.000)); +engine->addOutputVariable(mSteer); + +RuleBlock* mamdani = new RuleBlock; +mamdani->setName("mamdani"); +mamdani->setDescription(""); +mamdani->setEnabled(true); +mamdani->setConjunction(fl::null); +mamdani->setDisjunction(fl::null); +mamdani->setImplication(new AlgebraicProduct); +mamdani->setActivation(new General); +mamdani->addRule(Rule::parse("if obstacle is left then mSteer is right", engine)); +mamdani->addRule(Rule::parse("if obstacle is right then mSteer is left", engine)); +engine->addRuleBlock(mamdani); + + +} diff --git a/examples/mamdani/ObstacleAvoidance.fcl b/examples/mamdani/ObstacleAvoidance.fcl new file mode 100644 index 0000000..1f2bac0 --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.fcl @@ -0,0 +1,34 @@ +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK ObstacleAvoidance + +VAR_INPUT + obstacle: REAL; +END_VAR + +VAR_OUTPUT + mSteer: REAL; +END_VAR + +FUZZIFY obstacle + RANGE := (0.000 .. 1.000); + TERM left := Ramp 1.000 0.000; + TERM right := Ramp 0.000 1.000; +END_FUZZIFY + +DEFUZZIFY mSteer + RANGE := (0.000 .. 1.000); + TERM left := Ramp 1.000 0.000; + TERM right := Ramp 0.000 1.000; + METHOD : COG; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK mamdani + ACT : PROD; + RULE 1 : if obstacle is left then mSteer is right + RULE 2 : if obstacle is right then mSteer is left +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/ObstacleAvoidance.fis b/examples/mamdani/ObstacleAvoidance.fis new file mode 100644 index 0000000..f938ec0 --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.fis @@ -0,0 +1,32 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='ObstacleAvoidance' +Type='mamdani' +Version=6.0 +NumInputs=1 +NumOutputs=1 +NumRules=2 +AndMethod='min' +OrMethod='max' +ImpMethod='prod' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='obstacle' +Range=[0.000 1.000] +NumMFs=2 +MF1='left':'rampmf',[1.000 0.000] +MF2='right':'rampmf',[0.000 1.000] + +[Output1] +Name='mSteer' +Range=[0.000 1.000] 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a/examples/mamdani/ObstacleAvoidance.fll b/examples/mamdani/ObstacleAvoidance.fll new file mode 100644 index 0000000..a47f1b4 --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.fll @@ -0,0 +1,25 @@ +Engine: ObstacleAvoidance +InputVariable: obstacle + enabled: true + range: 0.000 1.000 + lock-range: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: mSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 100 + default: nan + lock-previous: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +RuleBlock: mamdani + enabled: true + conjunction: none + disjunction: none + implication: AlgebraicProduct + activation: General + rule: if obstacle is left then mSteer is right + rule: if obstacle is right then mSteer is left
\ No newline at end of file diff --git a/examples/mamdani/ObstacleAvoidance.java b/examples/mamdani/ObstacleAvoidance.java new file mode 100644 index 0000000..8efef3b --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.java @@ -0,0 +1,60 @@ +import com.fuzzylite.*; +import com.fuzzylite.activation.* +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class ObstacleAvoidance{ +public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + +Engine engine = new Engine(); +engine.setName("ObstacleAvoidance"); +engine.setDescription(""); + +InputVariable obstacle = new InputVariable(); +obstacle.setName("obstacle"); +obstacle.setDescription(""); +obstacle.setEnabled(true); +obstacle.setRange(0.000, 1.000); +obstacle.setLockValueInRange(false); +obstacle.addTerm(new Ramp("left", 1.000, 0.000)); +obstacle.addTerm(new Ramp("right", 0.000, 1.000)); +engine.addInputVariable(obstacle); + +OutputVariable mSteer = new OutputVariable(); +mSteer.setName("mSteer"); +mSteer.setDescription(""); +mSteer.setEnabled(true); +mSteer.setRange(0.000, 1.000); +mSteer.setLockValueInRange(false); +mSteer.setAggregation(new Maximum()); +mSteer.setDefuzzifier(new Centroid(100)); +mSteer.setDefaultValue(Double.NaN); +mSteer.setLockPreviousValue(false); +mSteer.addTerm(new Ramp("left", 1.000, 0.000)); +mSteer.addTerm(new Ramp("right", 0.000, 1.000)); +engine.addOutputVariable(mSteer); + +RuleBlock mamdani = new RuleBlock(); +mamdani.setName("mamdani"); +mamdani.setDescription(""); +mamdani.setEnabled(true); +mamdani.setConjunction(null); +mamdani.setDisjunction(null); +mamdani.setImplication(new AlgebraicProduct()); +mamdani.setActivation(new General()); +mamdani.addRule(Rule.parse("if obstacle is left then mSteer is right", engine)); +mamdani.addRule(Rule.parse("if obstacle is right then mSteer is left", engine)); +engine.addRuleBlock(mamdani); + + +} +} diff --git a/examples/mamdani/ObstacleAvoidance.pdf b/examples/mamdani/ObstacleAvoidance.pdf Binary files differnew file mode 100644 index 0000000..63e1fe9 --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.pdf diff --git a/examples/mamdani/SimpleDimmer.R b/examples/mamdani/SimpleDimmer.R new file mode 100644 index 0000000..77a60f3 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.R @@ -0,0 +1,60 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "SimpleDimmer" +engine.fll = "Engine: SimpleDimmer +InputVariable: Ambient + enabled: true + range: 0.000 1.000 + lock-range: false + term: DARK Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: BRIGHT Triangle 0.500 0.750 1.000 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: LOW Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: HIGH Triangle 0.500 0.750 1.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: Minimum + activation: General + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW" + +engine.fldFile = "SimpleDimmer.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("Ambient vs Power") + +engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Power vs Ambient") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/SimpleDimmer.cpp b/examples/mamdani/SimpleDimmer.cpp index b4c6897..7cd5e73 100644 --- a/examples/mamdani/SimpleDimmer.cpp +++ b/examples/mamdani/SimpleDimmer.cpp @@ -1,43 +1,51 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("simple-dimmer"); - -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("Ambient"); -inputVariable->setRange(0.000, 1.000); -inputVariable->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); -inputVariable->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -inputVariable->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); -engine->addInputVariable(inputVariable); - -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("Power"); -outputVariable->setRange(0.000, 1.000); -outputVariable->fuzzyOutput()->setAccumulation(new Maximum); -outputVariable->setDefuzzifier(new Centroid(200)); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); -outputVariable->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -outputVariable->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); -engine->addOutputVariable(outputVariable); +engine->setName("SimpleDimmer"); +engine->setDescription(""); + +InputVariable* Ambient = new InputVariable; +Ambient->setName("Ambient"); +Ambient->setDescription(""); +Ambient->setEnabled(true); +Ambient->setRange(0.000, 1.000); +Ambient->setLockValueInRange(false); +Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine->addInputVariable(Ambient); + +OutputVariable* Power = new OutputVariable; +Power->setName("Power"); +Power->setDescription(""); +Power->setEnabled(true); +Power->setRange(0.000, 1.000); +Power->setLockValueInRange(false); +Power->setAggregation(new Maximum); +Power->setDefuzzifier(new Centroid(200)); +Power->setDefaultValue(fl::nan); +Power->setLockPreviousValue(false); +Power->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); +Power->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Power->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); +engine->addOutputVariable(Power); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(fl::null); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(new Minimum); -ruleBlock->addRule(fl::Rule::parse("if Ambient is DARK then Power is HIGH", engine)); -ruleBlock->addRule(fl::Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); -ruleBlock->addRule(fl::Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); +ruleBlock->setImplication(new Minimum); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/mamdani/SimpleDimmer.fcl b/examples/mamdani/SimpleDimmer.fcl index a9b9552..104990a 100644 --- a/examples/mamdani/SimpleDimmer.fcl +++ b/examples/mamdani/SimpleDimmer.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK simple-dimmer +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK SimpleDimmer VAR_INPUT Ambient: REAL; diff --git a/examples/mamdani/SimpleDimmer.fis b/examples/mamdani/SimpleDimmer.fis index 40ac849..3435060 100644 --- a/examples/mamdani/SimpleDimmer.fis +++ b/examples/mamdani/SimpleDimmer.fis @@ -1,11 +1,14 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='simple-dimmer' +Name='SimpleDimmer' Type='mamdani' +Version=6.0 NumInputs=1 NumOutputs=1 NumRules=3 -AndMethod='' -OrMethod='' +AndMethod='min' +OrMethod='max' ImpMethod='min' AggMethod='max' DefuzzMethod='centroid' diff --git a/examples/mamdani/SimpleDimmer.fld b/examples/mamdani/SimpleDimmer.fld index 4d9a671..bd4dc51 100644 --- a/examples/mamdani/SimpleDimmer.fld +++ b/examples/mamdani/SimpleDimmer.fld @@ -1,1026 +1,1025 @@ -#@Engine: simple-dimmer; 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0.250000000 +0.994134897 0.250000000 +0.995112414 0.250000000 +0.996089932 0.250000000 +0.997067449 0.250000000 +0.998044966 0.250000000 +0.999022483 0.250000000 +1.000000000 nan diff --git a/examples/mamdani/SimpleDimmer.fll b/examples/mamdani/SimpleDimmer.fll index 3a4f8f9..896bebf 100644 --- a/examples/mamdani/SimpleDimmer.fll +++ b/examples/mamdani/SimpleDimmer.fll @@ -1,18 +1,19 @@ -Engine: simple-dimmer +Engine: SimpleDimmer InputVariable: Ambient enabled: true range: 0.000 1.000 + lock-range: false term: DARK Triangle 0.000 0.250 0.500 term: MEDIUM Triangle 0.250 0.500 0.750 term: BRIGHT Triangle 0.500 0.750 1.000 OutputVariable: Power enabled: true range: 0.000 1.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: LOW Triangle 0.000 0.250 0.500 term: MEDIUM Triangle 0.250 0.500 0.750 term: HIGH Triangle 0.500 0.750 1.000 @@ -20,7 +21,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: Minimum + implication: Minimum + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM rule: if Ambient is BRIGHT then Power is LOW
\ No newline at end of file diff --git a/examples/mamdani/SimpleDimmer.java b/examples/mamdani/SimpleDimmer.java index 1846722..d7b127d 100644 --- a/examples/mamdani/SimpleDimmer.java +++ b/examples/mamdani/SimpleDimmer.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,38 +13,46 @@ import com.fuzzylite.variable.*; public class SimpleDimmer{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("simple-dimmer"); +engine.setName("SimpleDimmer"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("Ambient"); -inputVariable.setRange(0.000, 1.000); -inputVariable.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); -inputVariable.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -inputVariable.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); -engine.addInputVariable(inputVariable); +InputVariable Ambient = new InputVariable(); +Ambient.setName("Ambient"); +Ambient.setDescription(""); +Ambient.setEnabled(true); +Ambient.setRange(0.000, 1.000); +Ambient.setLockValueInRange(false); +Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine.addInputVariable(Ambient); -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("Power"); -outputVariable.setRange(0.000, 1.000); -outputVariable.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable.setDefuzzifier(new Centroid(200)); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); -outputVariable.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -outputVariable.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); -engine.addOutputVariable(outputVariable); +OutputVariable Power = new OutputVariable(); +Power.setName("Power"); +Power.setDescription(""); +Power.setEnabled(true); +Power.setRange(0.000, 1.000); +Power.setLockValueInRange(false); +Power.setAggregation(new Maximum()); +Power.setDefuzzifier(new Centroid(200)); +Power.setDefaultValue(Double.NaN); +Power.setLockPreviousValue(false); +Power.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); +Power.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Power.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); +engine.addOutputVariable(Power); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(null); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(new Minimum()); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine)); ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine)); diff --git a/examples/mamdani/SimpleDimmer.pdf b/examples/mamdani/SimpleDimmer.pdf Binary files differnew file mode 100644 index 0000000..82ef82f --- /dev/null +++ b/examples/mamdani/SimpleDimmer.pdf diff --git a/examples/mamdani/SimpleDimmerChained.R b/examples/mamdani/SimpleDimmerChained.R new file mode 100644 index 0000000..323aa7d --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.R @@ -0,0 +1,85 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "SimpleDimmerChained" +engine.fll = "Engine: SimpleDimmerChained +InputVariable: Ambient + enabled: true + range: 0.000 1.000 + lock-range: false + term: DARK Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: BRIGHT Triangle 0.500 0.750 1.000 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: LOW Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: HIGH Triangle 0.500 0.750 1.000 +OutputVariable: InversePower + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 500 + default: nan + lock-previous: false + term: LOW Cosine 0.200 0.500 + term: MEDIUM Cosine 0.500 0.500 + term: HIGH Cosine 0.800 0.500 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: Minimum + activation: General + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW + rule: if Power is LOW then InversePower is HIGH + rule: if Power is MEDIUM then InversePower is MEDIUM + rule: if Power is HIGH then InversePower is LOW" + +engine.fldFile = "SimpleDimmerChained.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("Ambient vs Power") + +engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Power vs Ambient") + +engine.plot.i1_o2 = ggplot(engine.df, aes(Ambient, InversePower)) + + geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("Ambient vs InversePower") + +engine.plot.o2_i1 = ggplot(engine.df, aes(Ambient, InversePower)) + + geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("InversePower vs Ambient") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/SimpleDimmerChained.cpp b/examples/mamdani/SimpleDimmerChained.cpp new file mode 100644 index 0000000..bc59c8e --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.cpp @@ -0,0 +1,70 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + +using namespace fl; + +Engine* engine = new Engine; +engine->setName("SimpleDimmerChained"); +engine->setDescription(""); + +InputVariable* Ambient = new InputVariable; +Ambient->setName("Ambient"); +Ambient->setDescription(""); +Ambient->setEnabled(true); +Ambient->setRange(0.000, 1.000); +Ambient->setLockValueInRange(false); +Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine->addInputVariable(Ambient); + +OutputVariable* Power = new OutputVariable; +Power->setName("Power"); +Power->setDescription(""); +Power->setEnabled(true); +Power->setRange(0.000, 1.000); +Power->setLockValueInRange(false); +Power->setAggregation(new Maximum); +Power->setDefuzzifier(new Centroid(200)); +Power->setDefaultValue(fl::nan); +Power->setLockPreviousValue(false); +Power->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); +Power->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Power->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); +engine->addOutputVariable(Power); + +OutputVariable* InversePower = new OutputVariable; +InversePower->setName("InversePower"); +InversePower->setDescription(""); +InversePower->setEnabled(true); +InversePower->setRange(0.000, 1.000); +InversePower->setLockValueInRange(false); +InversePower->setAggregation(new Maximum); +InversePower->setDefuzzifier(new Centroid(500)); +InversePower->setDefaultValue(fl::nan); +InversePower->setLockPreviousValue(false); +InversePower->addTerm(new Cosine("LOW", 0.200, 0.500)); +InversePower->addTerm(new Cosine("MEDIUM", 0.500, 0.500)); +InversePower->addTerm(new Cosine("HIGH", 0.800, 0.500)); +engine->addOutputVariable(InversePower); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); +ruleBlock->setConjunction(fl::null); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setImplication(new Minimum); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); +ruleBlock->addRule(Rule::parse("if Power is LOW then InversePower is HIGH", engine)); +ruleBlock->addRule(Rule::parse("if Power is MEDIUM then InversePower is MEDIUM", engine)); +ruleBlock->addRule(Rule::parse("if Power is HIGH then InversePower is LOW", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/SimpleDimmerChained.fcl b/examples/mamdani/SimpleDimmerChained.fcl new file mode 100644 index 0000000..29bb4ea --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.fcl @@ -0,0 +1,51 @@ +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK SimpleDimmerChained + +VAR_INPUT + Ambient: REAL; +END_VAR + +VAR_OUTPUT + Power: REAL; + InversePower: REAL; +END_VAR + +FUZZIFY Ambient + RANGE := (0.000 .. 1.000); + TERM DARK := Triangle 0.000 0.250 0.500; + TERM MEDIUM := Triangle 0.250 0.500 0.750; + TERM BRIGHT := Triangle 0.500 0.750 1.000; +END_FUZZIFY + +DEFUZZIFY Power + RANGE := (0.000 .. 1.000); + TERM LOW := Triangle 0.000 0.250 0.500; + TERM MEDIUM := Triangle 0.250 0.500 0.750; + TERM HIGH := Triangle 0.500 0.750 1.000; + METHOD : COG; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY InversePower + RANGE := (0.000 .. 1.000); + TERM LOW := Cosine 0.200 0.500; + TERM MEDIUM := Cosine 0.500 0.500; + TERM HIGH := Cosine 0.800 0.500; + METHOD : COG; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + ACT : MIN; + RULE 1 : if Ambient is DARK then Power is HIGH + RULE 2 : if Ambient is MEDIUM then Power is MEDIUM + RULE 3 : if Ambient is BRIGHT then Power is LOW + RULE 4 : if Power is LOW then InversePower is HIGH + RULE 5 : if Power is MEDIUM then InversePower is MEDIUM + RULE 6 : if Power is HIGH then InversePower is LOW +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/SimpleDimmerChained.fis b/examples/mamdani/SimpleDimmerChained.fis new file mode 100644 index 0000000..c2fc642 --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.fis @@ -0,0 +1,46 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='SimpleDimmerChained' +Type='mamdani' +Version=6.0 +NumInputs=1 +NumOutputs=2 +NumRules=6 +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='Ambient' +Range=[0.000 1.000] +NumMFs=3 +MF1='DARK':'trimf',[0.000 0.250 0.500] +MF2='MEDIUM':'trimf',[0.250 0.500 0.750] +MF3='BRIGHT':'trimf',[0.500 0.750 1.000] + +[Output1] +Name='Power' +Range=[0.000 1.000] +NumMFs=3 +MF1='LOW':'trimf',[0.000 0.250 0.500] +MF2='MEDIUM':'trimf',[0.250 0.500 0.750] +MF3='HIGH':'trimf',[0.500 0.750 1.000] + +[Output2] +Name='InversePower' +Range=[0.000 1.000] +NumMFs=3 +MF1='LOW':'cosinemf',[0.200 0.500] +MF2='MEDIUM':'cosinemf',[0.500 0.500] +MF3='HIGH':'cosinemf',[0.800 0.500] + +[Rules] +1.000 , 3.000 0.000 (1.000) : 1 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+0.992179863 0.250000000 0.784364501 +0.993157380 0.250000000 0.783757951 +0.994134897 0.250000000 0.783108264 +0.995112414 0.250000000 0.782404962 +0.996089932 0.250000000 0.781627407 +0.997067449 0.250000000 0.780727892 +0.998044966 0.250000000 0.779693393 +0.999022483 0.250000000 0.778328498 +1.000000000 nan nan diff --git a/examples/mamdani/SimpleDimmerChained.fll b/examples/mamdani/SimpleDimmerChained.fll index fd6b945..02b35cc 100644 --- a/examples/mamdani/SimpleDimmerChained.fll +++ b/examples/mamdani/SimpleDimmerChained.fll @@ -1,29 +1,30 @@ -Engine: simple-dimmer +Engine: SimpleDimmerChained InputVariable: Ambient enabled: true range: 0.000 1.000 + lock-range: false term: DARK Triangle 0.000 0.250 0.500 term: MEDIUM Triangle 0.250 0.500 0.750 term: BRIGHT Triangle 0.500 0.750 1.000 OutputVariable: Power enabled: true range: 0.000 1.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: LOW Triangle 0.000 0.250 0.500 term: MEDIUM Triangle 0.250 0.500 0.750 term: HIGH Triangle 0.500 0.750 1.000 OutputVariable: InversePower enabled: true range: 0.000 1.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: Centroid 500 default: nan lock-previous: false - lock-range: false term: LOW Cosine 0.200 0.500 term: MEDIUM Cosine 0.500 0.500 term: HIGH Cosine 0.800 0.500 @@ -31,7 +32,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: Minimum + implication: Minimum + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM rule: if Ambient is BRIGHT then Power is LOW diff --git a/examples/mamdani/SimpleDimmerChained.java b/examples/mamdani/SimpleDimmerChained.java new file mode 100644 index 0000000..a7c28c6 --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.java @@ -0,0 +1,81 @@ +import com.fuzzylite.*; +import com.fuzzylite.activation.* +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class SimpleDimmerChained{ +public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + +Engine engine = new Engine(); +engine.setName("SimpleDimmerChained"); +engine.setDescription(""); + +InputVariable Ambient = new InputVariable(); +Ambient.setName("Ambient"); +Ambient.setDescription(""); +Ambient.setEnabled(true); +Ambient.setRange(0.000, 1.000); +Ambient.setLockValueInRange(false); +Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine.addInputVariable(Ambient); + +OutputVariable Power = new OutputVariable(); +Power.setName("Power"); +Power.setDescription(""); +Power.setEnabled(true); +Power.setRange(0.000, 1.000); +Power.setLockValueInRange(false); +Power.setAggregation(new Maximum()); +Power.setDefuzzifier(new Centroid(200)); +Power.setDefaultValue(Double.NaN); +Power.setLockPreviousValue(false); +Power.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); +Power.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Power.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); +engine.addOutputVariable(Power); + +OutputVariable InversePower = new OutputVariable(); +InversePower.setName("InversePower"); +InversePower.setDescription(""); +InversePower.setEnabled(true); +InversePower.setRange(0.000, 1.000); +InversePower.setLockValueInRange(false); +InversePower.setAggregation(new Maximum()); +InversePower.setDefuzzifier(new Centroid(500)); +InversePower.setDefaultValue(Double.NaN); +InversePower.setLockPreviousValue(false); +InversePower.addTerm(new Cosine("LOW", 0.200, 0.500)); +InversePower.addTerm(new Cosine("MEDIUM", 0.500, 0.500)); +InversePower.addTerm(new Cosine("HIGH", 0.800, 0.500)); +engine.addOutputVariable(InversePower); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); +ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine)); +ruleBlock.addRule(Rule.parse("if Power is LOW then InversePower is HIGH", engine)); +ruleBlock.addRule(Rule.parse("if Power is MEDIUM then InversePower is MEDIUM", engine)); +ruleBlock.addRule(Rule.parse("if Power is HIGH then InversePower is LOW", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/mamdani/SimpleDimmerChained.pdf b/examples/mamdani/SimpleDimmerChained.pdf Binary files differnew file mode 100644 index 0000000..bc22cfa --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.pdf diff --git a/examples/mamdani/SimpleDimmerInverse.R b/examples/mamdani/SimpleDimmerInverse.R new file mode 100644 index 0000000..358916d --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.R @@ -0,0 +1,85 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "SimpleDimmerInverse" +engine.fll = "Engine: SimpleDimmerInverse +InputVariable: Ambient + enabled: true + range: 0.000 1.000 + lock-range: false + term: DARK Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: BRIGHT Triangle 0.500 0.750 1.000 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: LOW Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: HIGH Triangle 0.500 0.750 1.000 +OutputVariable: InversePower + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: Centroid 500 + default: nan + lock-previous: false + term: LOW Cosine 0.200 0.500 + term: MEDIUM Cosine 0.500 0.500 + term: HIGH Cosine 0.800 0.500 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: Minimum + activation: General + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW + rule: if Power is LOW then InversePower is HIGH + rule: if Power is MEDIUM then InversePower is MEDIUM + rule: if Power is HIGH then InversePower is LOW" + +engine.fldFile = "SimpleDimmerInverse.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("Ambient vs Power") + +engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Power vs Ambient") + +engine.plot.i1_o2 = ggplot(engine.df, aes(Ambient, InversePower)) + + geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("Ambient vs InversePower") + +engine.plot.o2_i1 = ggplot(engine.df, aes(Ambient, InversePower)) + + geom_line(aes(color=InversePower), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("InversePower vs Ambient") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/SimpleDimmerInverse.cpp b/examples/mamdani/SimpleDimmerInverse.cpp index cad1100..1c22275 100644 --- a/examples/mamdani/SimpleDimmerInverse.cpp +++ b/examples/mamdani/SimpleDimmerInverse.cpp @@ -1,60 +1,69 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("simple-dimmer"); - -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("Ambient"); -inputVariable->setRange(0.000, 1.000); -inputVariable->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); -inputVariable->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -inputVariable->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); -engine->addInputVariable(inputVariable); - -OutputVariable* outputVariable1 = new OutputVariable; -outputVariable1->setEnabled(true); -outputVariable1->setName("Power"); -outputVariable1->setRange(0.000, 1.000); -outputVariable1->fuzzyOutput()->setAccumulation(new Maximum); -outputVariable1->setDefuzzifier(new Centroid(200)); -outputVariable1->setDefaultValue(fl::nan); -outputVariable1->setLockPreviousOutputValue(false); -outputVariable1->setLockOutputValueInRange(false); -outputVariable1->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); -outputVariable1->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -outputVariable1->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); -engine->addOutputVariable(outputVariable1); - -OutputVariable* outputVariable2 = new OutputVariable; -outputVariable2->setEnabled(true); -outputVariable2->setName("InversePower"); -outputVariable2->setRange(0.000, 1.000); -outputVariable2->fuzzyOutput()->setAccumulation(new Maximum); -outputVariable2->setDefuzzifier(new Centroid(500)); -outputVariable2->setDefaultValue(fl::nan); -outputVariable2->setLockPreviousOutputValue(false); -outputVariable2->setLockOutputValueInRange(false); -outputVariable2->addTerm(new Cosine("LOW", 0.200, 0.500)); -outputVariable2->addTerm(new Cosine("MEDIUM", 0.500, 0.500)); -outputVariable2->addTerm(new Cosine("HIGH", 0.800, 0.500)); -engine->addOutputVariable(outputVariable2); +engine->setName("SimpleDimmerInverse"); +engine->setDescription(""); + +InputVariable* Ambient = new InputVariable; +Ambient->setName("Ambient"); +Ambient->setDescription(""); +Ambient->setEnabled(true); +Ambient->setRange(0.000, 1.000); +Ambient->setLockValueInRange(false); +Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine->addInputVariable(Ambient); + +OutputVariable* Power = new OutputVariable; +Power->setName("Power"); +Power->setDescription(""); +Power->setEnabled(true); +Power->setRange(0.000, 1.000); +Power->setLockValueInRange(false); +Power->setAggregation(new Maximum); +Power->setDefuzzifier(new Centroid(200)); +Power->setDefaultValue(fl::nan); +Power->setLockPreviousValue(false); +Power->addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); +Power->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Power->addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); +engine->addOutputVariable(Power); + +OutputVariable* InversePower = new OutputVariable; +InversePower->setName("InversePower"); +InversePower->setDescription(""); +InversePower->setEnabled(true); +InversePower->setRange(0.000, 1.000); +InversePower->setLockValueInRange(false); +InversePower->setAggregation(new Maximum); +InversePower->setDefuzzifier(new Centroid(500)); +InversePower->setDefaultValue(fl::nan); +InversePower->setLockPreviousValue(false); +InversePower->addTerm(new Cosine("LOW", 0.200, 0.500)); +InversePower->addTerm(new Cosine("MEDIUM", 0.500, 0.500)); +InversePower->addTerm(new Cosine("HIGH", 0.800, 0.500)); +engine->addOutputVariable(InversePower); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); -ruleBlock->setConjunction(NULL); -ruleBlock->setDisjunction(NULL); -ruleBlock->setActivation(new Minimum); -ruleBlock->addRule(fl::Rule::parse("if Ambient is DARK then Power is HIGH", engine)); -ruleBlock->addRule(fl::Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); -ruleBlock->addRule(fl::Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); -ruleBlock->addRule(fl::Rule::parse("if Power is LOW then InversePower is HIGH", engine)); -ruleBlock->addRule(fl::Rule::parse("if Power is MEDIUM then InversePower is MEDIUM", engine)); -ruleBlock->addRule(fl::Rule::parse("if Power is HIGH then InversePower is LOW", engine)); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); +ruleBlock->setConjunction(fl::null); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setImplication(new Minimum); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); +ruleBlock->addRule(Rule::parse("if Power is LOW then InversePower is HIGH", engine)); +ruleBlock->addRule(Rule::parse("if Power is MEDIUM then InversePower is MEDIUM", engine)); +ruleBlock->addRule(Rule::parse("if Power is HIGH then InversePower is LOW", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/mamdani/SimpleDimmerInverse.fcl b/examples/mamdani/SimpleDimmerInverse.fcl index 337bc2b..d8043d3 100644 --- a/examples/mamdani/SimpleDimmerInverse.fcl +++ b/examples/mamdani/SimpleDimmerInverse.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK simple-dimmer +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK SimpleDimmerInverse VAR_INPUT Ambient: REAL; diff --git a/examples/mamdani/SimpleDimmerInverse.fis b/examples/mamdani/SimpleDimmerInverse.fis new file mode 100644 index 0000000..b044014 --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.fis @@ -0,0 +1,46 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='SimpleDimmerInverse' +Type='mamdani' +Version=6.0 +NumInputs=1 +NumOutputs=2 +NumRules=6 +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='Ambient' +Range=[0.000 1.000] +NumMFs=3 +MF1='DARK':'trimf',[0.000 0.250 0.500] +MF2='MEDIUM':'trimf',[0.250 0.500 0.750] +MF3='BRIGHT':'trimf',[0.500 0.750 1.000] + +[Output1] +Name='Power' +Range=[0.000 1.000] +NumMFs=3 +MF1='LOW':'trimf',[0.000 0.250 0.500] +MF2='MEDIUM':'trimf',[0.250 0.500 0.750] +MF3='HIGH':'trimf',[0.500 0.750 1.000] + +[Output2] +Name='InversePower' +Range=[0.000 1.000] +NumMFs=3 +MF1='LOW':'cosinemf',[0.200 0.500] +MF2='MEDIUM':'cosinemf',[0.500 0.500] +MF3='HIGH':'cosinemf',[0.800 0.500] + +[Rules] +1.000 , 3.000 0.000 (1.000) : 1 +2.000 , 2.000 0.000 (1.000) : 1 +3.000 , 1.000 0.000 (1.000) : 1 +0.000 , 0.000 3.000 (1.000) : 1 +0.000 , 0.000 2.000 (1.000) : 1 +0.000 , 0.000 1.000 (1.000) : 1 diff --git a/examples/mamdani/SimpleDimmerInverse.fld b/examples/mamdani/SimpleDimmerInverse.fld index 45373fa..843c017 100644 --- a/examples/mamdani/SimpleDimmerInverse.fld +++ b/examples/mamdani/SimpleDimmerInverse.fld @@ -1,1026 +1,1025 @@ -#@Engine: simple-dimmer; -#@InputVariable: Ambient; @OutputVariable: Power; @OutputVariable: InversePower; -0.00000000 nan nan -0.00097752 0.75000000 0.22167150 -0.00195503 0.75000000 0.22030661 -0.00293255 0.75000000 0.21927211 -0.00391007 0.75000000 0.21837259 -0.00488759 0.75000000 0.21759504 -0.00586510 0.75000000 0.21689174 -0.00684262 0.75000000 0.21624205 -0.00782014 0.75000000 0.21563550 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OutputVariable: Power enabled: true range: 0.000 1.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: LOW Triangle 0.000 0.250 0.500 term: MEDIUM Triangle 0.250 0.500 0.750 term: HIGH Triangle 0.500 0.750 1.000 OutputVariable: InversePower enabled: true range: 0.000 1.000 - accumulation: Maximum + lock-range: false + aggregation: Maximum defuzzifier: Centroid 500 default: nan lock-previous: false - lock-range: false term: LOW Cosine 0.200 0.500 term: MEDIUM Cosine 0.500 0.500 term: HIGH Cosine 0.800 0.500 @@ -31,7 +32,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: Minimum + implication: Minimum + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM rule: if Ambient is BRIGHT then Power is LOW diff --git a/examples/mamdani/SimpleDimmerInverse.java b/examples/mamdani/SimpleDimmerInverse.java index 0bdde89..218f831 100644 --- a/examples/mamdani/SimpleDimmerInverse.java +++ b/examples/mamdani/SimpleDimmerInverse.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,52 +13,61 @@ import com.fuzzylite.variable.*; public class SimpleDimmerInverse{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("simple-dimmer"); +engine.setName("SimpleDimmerInverse"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("Ambient"); -inputVariable.setRange(0.000, 1.000); -inputVariable.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); -inputVariable.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -inputVariable.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); -engine.addInputVariable(inputVariable); +InputVariable Ambient = new InputVariable(); +Ambient.setName("Ambient"); +Ambient.setDescription(""); +Ambient.setEnabled(true); +Ambient.setRange(0.000, 1.000); +Ambient.setLockValueInRange(false); +Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine.addInputVariable(Ambient); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("Power"); -outputVariable1.setRange(0.000, 1.000); -outputVariable1.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable1.setDefuzzifier(new Centroid(200)); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(false); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); -outputVariable1.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -outputVariable1.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); -engine.addOutputVariable(outputVariable1); +OutputVariable Power = new OutputVariable(); +Power.setName("Power"); +Power.setDescription(""); +Power.setEnabled(true); +Power.setRange(0.000, 1.000); +Power.setLockValueInRange(false); +Power.setAggregation(new Maximum()); +Power.setDefuzzifier(new Centroid(200)); +Power.setDefaultValue(Double.NaN); +Power.setLockPreviousValue(false); +Power.addTerm(new Triangle("LOW", 0.000, 0.250, 0.500)); +Power.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Power.addTerm(new Triangle("HIGH", 0.500, 0.750, 1.000)); +engine.addOutputVariable(Power); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("InversePower"); -outputVariable2.setRange(0.000, 1.000); -outputVariable2.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable2.setDefuzzifier(new Centroid(500)); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(false); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(new Cosine("LOW", 0.200, 0.500)); -outputVariable2.addTerm(new Cosine("MEDIUM", 0.500, 0.500)); -outputVariable2.addTerm(new Cosine("HIGH", 0.800, 0.500)); -engine.addOutputVariable(outputVariable2); +OutputVariable InversePower = new OutputVariable(); +InversePower.setName("InversePower"); +InversePower.setDescription(""); +InversePower.setEnabled(true); +InversePower.setRange(0.000, 1.000); +InversePower.setLockValueInRange(false); +InversePower.setAggregation(new Maximum()); +InversePower.setDefuzzifier(new Centroid(500)); +InversePower.setDefaultValue(Double.NaN); +InversePower.setLockPreviousValue(false); +InversePower.addTerm(new Cosine("LOW", 0.200, 0.500)); +InversePower.addTerm(new Cosine("MEDIUM", 0.500, 0.500)); +InversePower.addTerm(new Cosine("HIGH", 0.800, 0.500)); +engine.addOutputVariable(InversePower); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(null); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(new Minimum()); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine)); ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine)); diff --git a/examples/mamdani/SimpleDimmerInverse.pdf b/examples/mamdani/SimpleDimmerInverse.pdf Binary files differnew file mode 100644 index 0000000..0cfb26d --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.pdf diff --git a/examples/mamdani/octave/investment_portfolio.R b/examples/mamdani/octave/investment_portfolio.R new file mode 100644 index 0000000..c752dab --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.R @@ -0,0 +1,67 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "investment_portfolio" +engine.fll = "Engine: investment_portfolio +InputVariable: Age + enabled: true + range: 20.000 100.000 + lock-range: false + term: Young ZShape 30.000 90.000 + term: Old SShape 30.000 90.000 +InputVariable: RiskTolerance + enabled: true + range: 0.000 10.000 + lock-range: false + term: Low ZShape 2.000 8.000 + term: High SShape 2.000 8.000 +OutputVariable: PercentageInStocks + enabled: true + range: 0.000 100.000 + lock-range: false + aggregation: EinsteinSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: AboutFifteen Gaussian 15.000 10.000 + term: AboutFifty Gaussian 50.000 10.000 + term: AboutEightyFive Gaussian 85.000 10.000 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: EinsteinSum + implication: EinsteinProduct + activation: General + rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive + rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen + rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 + rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500" + +engine.fldFile = "investment_portfolio.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(Age, RiskTolerance)) + + geom_tile(aes(fill=PercentageInStocks)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Age, y=RiskTolerance, z=PercentageInStocks), color="black") + + ggtitle("(Age, RiskTolerance) = PercentageInStocks") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(RiskTolerance, Age)) + + geom_tile(aes(fill=PercentageInStocks)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=RiskTolerance, y=Age, z=PercentageInStocks), color="black") + + ggtitle("(RiskTolerance, Age) = PercentageInStocks") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/octave/investment_portfolio.cpp b/examples/mamdani/octave/investment_portfolio.cpp index 9ccadc9..2b82b8c 100644 --- a/examples/mamdani/octave/investment_portfolio.cpp +++ b/examples/mamdani/octave/investment_portfolio.cpp @@ -1,51 +1,61 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("Investment-Portfolio"); - -InputVariable* inputVariable1 = new InputVariable; -inputVariable1->setEnabled(true); -inputVariable1->setName("Age"); -inputVariable1->setRange(20.000, 100.000); -inputVariable1->addTerm(new ZShape("Young", 30.000, 90.000)); -inputVariable1->addTerm(new SShape("Old", 30.000, 90.000)); -engine->addInputVariable(inputVariable1); - -InputVariable* inputVariable2 = new InputVariable; -inputVariable2->setEnabled(true); -inputVariable2->setName("RiskTolerance"); -inputVariable2->setRange(0.000, 10.000); -inputVariable2->addTerm(new ZShape("Low", 2.000, 8.000)); -inputVariable2->addTerm(new SShape("High", 2.000, 8.000)); -engine->addInputVariable(inputVariable2); - -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("PercentageInStocks"); -outputVariable->setRange(0.000, 100.000); -outputVariable->fuzzyOutput()->setAccumulation(new EinsteinSum); -outputVariable->setDefuzzifier(new Centroid(200)); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); -outputVariable->addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); -outputVariable->addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); -engine->addOutputVariable(outputVariable); +engine->setName("investment_portfolio"); +engine->setDescription(""); + +InputVariable* Age = new InputVariable; +Age->setName("Age"); +Age->setDescription(""); +Age->setEnabled(true); +Age->setRange(20.000, 100.000); +Age->setLockValueInRange(false); +Age->addTerm(new ZShape("Young", 30.000, 90.000)); +Age->addTerm(new SShape("Old", 30.000, 90.000)); +engine->addInputVariable(Age); + +InputVariable* RiskTolerance = new InputVariable; +RiskTolerance->setName("RiskTolerance"); +RiskTolerance->setDescription(""); +RiskTolerance->setEnabled(true); +RiskTolerance->setRange(0.000, 10.000); +RiskTolerance->setLockValueInRange(false); +RiskTolerance->addTerm(new ZShape("Low", 2.000, 8.000)); +RiskTolerance->addTerm(new SShape("High", 2.000, 8.000)); +engine->addInputVariable(RiskTolerance); + +OutputVariable* PercentageInStocks = new OutputVariable; +PercentageInStocks->setName("PercentageInStocks"); +PercentageInStocks->setDescription(""); +PercentageInStocks->setEnabled(true); +PercentageInStocks->setRange(0.000, 100.000); +PercentageInStocks->setLockValueInRange(false); +PercentageInStocks->setAggregation(new EinsteinSum); +PercentageInStocks->setDefuzzifier(new Centroid(200)); +PercentageInStocks->setDefaultValue(fl::nan); +PercentageInStocks->setLockPreviousValue(false); +PercentageInStocks->addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); +PercentageInStocks->addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); +PercentageInStocks->addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); +engine->addOutputVariable(PercentageInStocks); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new EinsteinProduct); ruleBlock->setDisjunction(new EinsteinSum); -ruleBlock->setActivation(new EinsteinProduct); -ruleBlock->addRule(fl::Rule::parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine)); -ruleBlock->addRule(fl::Rule::parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine)); -ruleBlock->addRule(fl::Rule::parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine)); -ruleBlock->addRule(fl::Rule::parse("if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500", engine)); +ruleBlock->setImplication(new EinsteinProduct); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine)); +ruleBlock->addRule(Rule::parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine)); +ruleBlock->addRule(Rule::parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine)); +ruleBlock->addRule(Rule::parse("if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/mamdani/octave/investment_portfolio.fcl b/examples/mamdani/octave/investment_portfolio.fcl index 590ab3b..ec837a7 100644 --- a/examples/mamdani/octave/investment_portfolio.fcl +++ b/examples/mamdani/octave/investment_portfolio.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK Investment-Portfolio +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK investment_portfolio VAR_INPUT Age: REAL; diff --git a/examples/mamdani/octave/investment_portfolio.fis b/examples/mamdani/octave/investment_portfolio.fis index 311e728..b512a68 100644 --- a/examples/mamdani/octave/investment_portfolio.fis +++ b/examples/mamdani/octave/investment_portfolio.fis @@ -1,6 +1,9 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='Investment-Portfolio' +Name='investment_portfolio' Type='mamdani' +Version=6.0 NumInputs=2 NumOutputs=1 NumRules=4 diff --git a/examples/mamdani/octave/investment_portfolio.fld b/examples/mamdani/octave/investment_portfolio.fld index 648b0be..4da9cb9 100644 --- a/examples/mamdani/octave/investment_portfolio.fld +++ b/examples/mamdani/octave/investment_portfolio.fld @@ -1,1026 +1,1025 @@ -#@Engine: Investment-Portfolio; -#@InputVariable: Age; @InputVariable: RiskTolerance; @OutputVariable: PercentageInStocks; -20.00000000 0.00000000 50.00000000 -20.00000000 0.32258065 50.00000000 -20.00000000 0.64516129 50.00000000 -20.00000000 0.96774194 50.00000000 -20.00000000 1.29032258 50.00000000 -20.00000000 1.61290323 50.00000000 -20.00000000 1.93548387 50.00000000 -20.00000000 2.25806452 50.07664849 -20.00000000 2.58064516 50.39007638 -20.00000000 2.90322581 50.95232681 -20.00000000 3.22580645 51.77492832 -20.00000000 3.54838710 52.87098013 -20.00000000 3.87096774 54.25013613 -20.00000000 4.19354839 55.91006054 -20.00000000 4.51612903 57.82311764 -20.00000000 4.83870968 59.91799668 -20.00000000 5.16129032 62.04316294 -20.00000000 5.48387097 64.00662112 -20.00000000 5.80645161 65.82068208 -20.00000000 6.12903226 67.49497664 -20.00000000 6.45161290 69.01370662 -20.00000000 6.77419355 70.34164582 -20.00000000 7.09677419 71.43161596 -20.00000000 7.41935484 72.23344208 -20.00000000 7.74193548 72.70359583 -20.00000000 8.06451613 72.82131403 -20.00000000 8.38709677 72.82131403 -20.00000000 8.70967742 72.82131403 -20.00000000 9.03225806 72.82131403 -20.00000000 9.35483871 72.82131403 -20.00000000 9.67741935 72.82131403 -20.00000000 10.00000000 72.82131403 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72.82131403 -22.58064516 9.03225806 72.82131403 -22.58064516 9.35483871 72.82131403 -22.58064516 9.67741935 72.82131403 -22.58064516 10.00000000 72.82131403 -25.16129032 0.00000000 50.00000000 -25.16129032 0.32258065 50.00000000 -25.16129032 0.64516129 50.00000000 -25.16129032 0.96774194 50.00000000 -25.16129032 1.29032258 50.00000000 -25.16129032 1.61290323 50.00000000 -25.16129032 1.93548387 50.00000000 -25.16129032 2.25806452 50.07664849 -25.16129032 2.58064516 50.39007638 -25.16129032 2.90322581 50.95232681 -25.16129032 3.22580645 51.77492832 -25.16129032 3.54838710 52.87098013 -25.16129032 3.87096774 54.25013613 -25.16129032 4.19354839 55.91006054 -25.16129032 4.51612903 57.82311764 -25.16129032 4.83870968 59.91799668 -25.16129032 5.16129032 62.04316294 -25.16129032 5.48387097 64.00662112 -25.16129032 5.80645161 65.82068208 -25.16129032 6.12903226 67.49497664 -25.16129032 6.45161290 69.01370662 -25.16129032 6.77419355 70.34164582 -25.16129032 7.09677419 71.43161596 -25.16129032 7.41935484 72.23344208 -25.16129032 7.74193548 72.70359583 -25.16129032 8.06451613 72.82131403 -25.16129032 8.38709677 72.82131403 -25.16129032 8.70967742 72.82131403 -25.16129032 9.03225806 72.82131403 -25.16129032 9.35483871 72.82131403 -25.16129032 9.67741935 72.82131403 -25.16129032 10.00000000 72.82131403 -27.74193548 0.00000000 50.00000000 -27.74193548 0.32258065 50.00000000 -27.74193548 0.64516129 50.00000000 -27.74193548 0.96774194 50.00000000 -27.74193548 1.29032258 50.00000000 -27.74193548 1.61290323 50.00000000 -27.74193548 1.93548387 50.00000000 -27.74193548 2.25806452 50.07664849 -27.74193548 2.58064516 50.39007638 -27.74193548 2.90322581 50.95232681 -27.74193548 3.22580645 51.77492832 -27.74193548 3.54838710 52.87098013 -27.74193548 3.87096774 54.25013613 -27.74193548 4.19354839 55.91006054 -27.74193548 4.51612903 57.82311764 -27.74193548 4.83870968 59.91799668 -27.74193548 5.16129032 62.04316294 -27.74193548 5.48387097 64.00662112 -27.74193548 5.80645161 65.82068208 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3.225806452 29.658354183 +97.419354839 3.548387097 30.986293382 +97.419354839 3.870967742 32.505023360 +97.419354839 4.193548387 34.179317922 +97.419354839 4.516129032 35.993378883 +97.419354839 4.838709677 37.956837060 +97.419354839 5.161290323 40.082003316 +97.419354839 5.483870968 42.176882360 +97.419354839 5.806451613 44.089939459 +97.419354839 6.129032258 45.749863871 +97.419354839 6.451612903 47.129019871 +97.419354839 6.774193548 48.225071677 +97.419354839 7.096774194 49.047673187 +97.419354839 7.419354839 49.609923621 +97.419354839 7.741935484 49.923351514 +97.419354839 8.064516129 50.000000000 +97.419354839 8.387096774 50.000000000 +97.419354839 8.709677419 50.000000000 +97.419354839 9.032258065 50.000000000 +97.419354839 9.354838710 50.000000000 +97.419354839 9.677419355 50.000000000 +97.419354839 10.000000000 50.000000000 +100.000000000 0.000000000 27.178685975 +100.000000000 0.322580645 27.178685975 +100.000000000 0.645161290 27.178685975 +100.000000000 0.967741935 27.178685975 +100.000000000 1.290322581 27.178685975 +100.000000000 1.612903226 27.178685975 +100.000000000 1.935483871 27.178685975 +100.000000000 2.258064516 27.296404171 +100.000000000 2.580645161 27.766557921 +100.000000000 2.903225806 28.568384038 +100.000000000 3.225806452 29.658354183 +100.000000000 3.548387097 30.986293382 +100.000000000 3.870967742 32.505023360 +100.000000000 4.193548387 34.179317922 +100.000000000 4.516129032 35.993378883 +100.000000000 4.838709677 37.956837060 +100.000000000 5.161290323 40.082003316 +100.000000000 5.483870968 42.176882360 +100.000000000 5.806451613 44.089939459 +100.000000000 6.129032258 45.749863871 +100.000000000 6.451612903 47.129019871 +100.000000000 6.774193548 48.225071677 +100.000000000 7.096774194 49.047673187 +100.000000000 7.419354839 49.609923621 +100.000000000 7.741935484 49.923351514 +100.000000000 8.064516129 50.000000000 +100.000000000 8.387096774 50.000000000 +100.000000000 8.709677419 50.000000000 +100.000000000 9.032258065 50.000000000 +100.000000000 9.354838710 50.000000000 +100.000000000 9.677419355 50.000000000 +100.000000000 10.000000000 50.000000000 diff --git a/examples/mamdani/octave/investment_portfolio.fll b/examples/mamdani/octave/investment_portfolio.fll index 4bb14e1..628fdef 100644 --- a/examples/mamdani/octave/investment_portfolio.fll +++ b/examples/mamdani/octave/investment_portfolio.fll @@ -1,22 +1,24 @@ -Engine: Investment-Portfolio +Engine: investment_portfolio InputVariable: Age enabled: true range: 20.000 100.000 + lock-range: false term: Young ZShape 30.000 90.000 term: Old SShape 30.000 90.000 InputVariable: RiskTolerance enabled: true range: 0.000 10.000 + lock-range: false term: Low ZShape 2.000 8.000 term: High SShape 2.000 8.000 OutputVariable: PercentageInStocks enabled: true range: 0.000 100.000 - accumulation: EinsteinSum + lock-range: false + aggregation: EinsteinSum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: AboutFifteen Gaussian 15.000 10.000 term: AboutFifty Gaussian 50.000 10.000 term: AboutEightyFive Gaussian 85.000 10.000 @@ -24,7 +26,8 @@ RuleBlock: enabled: true conjunction: EinsteinProduct disjunction: EinsteinSum - activation: EinsteinProduct + implication: EinsteinProduct + activation: General rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 diff --git a/examples/mamdani/octave/investment_portfolio.java b/examples/mamdani/octave/investment_portfolio.java index 09084f1..9dff687 100644 --- a/examples/mamdani/octave/investment_portfolio.java +++ b/examples/mamdani/octave/investment_portfolio.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,45 +13,55 @@ import com.fuzzylite.variable.*; public class investment_portfolio{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Investment-Portfolio"); - -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("Age"); -inputVariable1.setRange(20.000, 100.000); -inputVariable1.addTerm(new ZShape("Young", 30.000, 90.000)); -inputVariable1.addTerm(new SShape("Old", 30.000, 90.000)); -engine.addInputVariable(inputVariable1); - -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("RiskTolerance"); -inputVariable2.setRange(0.000, 10.000); -inputVariable2.addTerm(new ZShape("Low", 2.000, 8.000)); -inputVariable2.addTerm(new SShape("High", 2.000, 8.000)); -engine.addInputVariable(inputVariable2); - -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("PercentageInStocks"); -outputVariable.setRange(0.000, 100.000); -outputVariable.fuzzyOutput().setAccumulation(new EinsteinSum()); -outputVariable.setDefuzzifier(new Centroid(200)); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); -outputVariable.addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); -outputVariable.addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); -engine.addOutputVariable(outputVariable); +engine.setName("investment_portfolio"); +engine.setDescription(""); + +InputVariable Age = new InputVariable(); +Age.setName("Age"); +Age.setDescription(""); +Age.setEnabled(true); +Age.setRange(20.000, 100.000); +Age.setLockValueInRange(false); +Age.addTerm(new ZShape("Young", 30.000, 90.000)); +Age.addTerm(new SShape("Old", 30.000, 90.000)); +engine.addInputVariable(Age); + +InputVariable RiskTolerance = new InputVariable(); +RiskTolerance.setName("RiskTolerance"); +RiskTolerance.setDescription(""); +RiskTolerance.setEnabled(true); +RiskTolerance.setRange(0.000, 10.000); +RiskTolerance.setLockValueInRange(false); +RiskTolerance.addTerm(new ZShape("Low", 2.000, 8.000)); +RiskTolerance.addTerm(new SShape("High", 2.000, 8.000)); +engine.addInputVariable(RiskTolerance); + +OutputVariable PercentageInStocks = new OutputVariable(); +PercentageInStocks.setName("PercentageInStocks"); +PercentageInStocks.setDescription(""); +PercentageInStocks.setEnabled(true); +PercentageInStocks.setRange(0.000, 100.000); +PercentageInStocks.setLockValueInRange(false); +PercentageInStocks.setAggregation(new EinsteinSum()); +PercentageInStocks.setDefuzzifier(new Centroid(200)); +PercentageInStocks.setDefaultValue(Double.NaN); +PercentageInStocks.setLockPreviousValue(false); +PercentageInStocks.addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); +PercentageInStocks.addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); +PercentageInStocks.addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); +engine.addOutputVariable(PercentageInStocks); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new EinsteinProduct()); ruleBlock.setDisjunction(new EinsteinSum()); -ruleBlock.setActivation(new EinsteinProduct()); +ruleBlock.setImplication(new EinsteinProduct()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine)); ruleBlock.addRule(Rule.parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine)); ruleBlock.addRule(Rule.parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine)); diff --git a/examples/mamdani/octave/investment_portfolio.pdf b/examples/mamdani/octave/investment_portfolio.pdf Binary files differnew file mode 100644 index 0000000..c9c897e --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.pdf diff --git a/examples/mamdani/octave/mamdani_tip_calculator.R b/examples/mamdani/octave/mamdani_tip_calculator.R new file mode 100644 index 0000000..81eabe2 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.R @@ -0,0 +1,90 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "mamdani_tip_calculator" +engine.fll = "Engine: mamdani_tip_calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + lock-range: false + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + lock-range: false + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: Tip + enabled: true + range: 0.000 30.000 + lock-range: false + aggregation: AlgebraicSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: AboutTenPercent Gaussian 10.000 2.000 + term: AboutFifteenPercent Gaussian 15.000 2.000 + term: AboutTwentyPercent Gaussian 20.000 2.000 +OutputVariable: CheckPlusTip + enabled: true + range: 1.000 1.300 + lock-range: false + aggregation: AlgebraicSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + term: PlusAboutTenPercent Gaussian 1.100 0.020 + term: PlusAboutFifteenPercent Gaussian 1.150 0.020 + term: PlusAboutTwentyPercent Gaussian 1.200 0.020 +RuleBlock: + enabled: true + conjunction: AlgebraicProduct + disjunction: Maximum + implication: Minimum + activation: General + rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent + rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent" + +engine.fldFile = "mamdani_tip_calculator.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(FoodQuality, Service)) + + geom_tile(aes(fill=Tip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=FoodQuality, y=Service, z=Tip), color="black") + + ggtitle("(FoodQuality, Service) = Tip") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(Service, FoodQuality)) + + geom_tile(aes(fill=Tip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Service, y=FoodQuality, z=Tip), color="black") + + ggtitle("(Service, FoodQuality) = Tip") + +engine.plot.i1i2_o2 = ggplot(engine.df, aes(FoodQuality, Service)) + + geom_tile(aes(fill=CheckPlusTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=FoodQuality, y=Service, z=CheckPlusTip), color="black") + + ggtitle("(FoodQuality, Service) = CheckPlusTip") + +engine.plot.i2i1_o2 = ggplot(engine.df, aes(Service, FoodQuality)) + + geom_tile(aes(fill=CheckPlusTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Service, y=FoodQuality, z=CheckPlusTip), color="black") + + ggtitle("(Service, FoodQuality) = CheckPlusTip") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/mamdani/octave/mamdani_tip_calculator.cpp b/examples/mamdani/octave/mamdani_tip_calculator.cpp index cd57bf7..86d6464 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.cpp +++ b/examples/mamdani/octave/mamdani_tip_calculator.cpp @@ -1,65 +1,76 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("Mamdani-Tip-Calculator"); +engine->setName("mamdani_tip_calculator"); +engine->setDescription(""); -InputVariable* inputVariable1 = new InputVariable; -inputVariable1->setEnabled(true); -inputVariable1->setName("FoodQuality"); -inputVariable1->setRange(1.000, 10.000); -inputVariable1->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine->addInputVariable(inputVariable1); +InputVariable* FoodQuality = new InputVariable; +FoodQuality->setName("FoodQuality"); +FoodQuality->setDescription(""); +FoodQuality->setEnabled(true); +FoodQuality->setRange(1.000, 10.000); +FoodQuality->setLockValueInRange(false); +FoodQuality->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(FoodQuality); -InputVariable* inputVariable2 = new InputVariable; -inputVariable2->setEnabled(true); -inputVariable2->setName("Service"); -inputVariable2->setRange(1.000, 10.000); -inputVariable2->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine->addInputVariable(inputVariable2); +InputVariable* Service = new InputVariable; +Service->setName("Service"); +Service->setDescription(""); +Service->setEnabled(true); +Service->setRange(1.000, 10.000); +Service->setLockValueInRange(false); +Service->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(Service); -OutputVariable* outputVariable1 = new OutputVariable; -outputVariable1->setEnabled(true); -outputVariable1->setName("Tip"); -outputVariable1->setRange(0.000, 30.000); -outputVariable1->fuzzyOutput()->setAccumulation(new AlgebraicSum); -outputVariable1->setDefuzzifier(new Centroid(200)); -outputVariable1->setDefaultValue(fl::nan); -outputVariable1->setLockPreviousOutputValue(false); -outputVariable1->setLockOutputValueInRange(false); -outputVariable1->addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); -outputVariable1->addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); -outputVariable1->addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); -engine->addOutputVariable(outputVariable1); +OutputVariable* Tip = new OutputVariable; +Tip->setName("Tip"); +Tip->setDescription(""); +Tip->setEnabled(true); +Tip->setRange(0.000, 30.000); +Tip->setLockValueInRange(false); +Tip->setAggregation(new AlgebraicSum); +Tip->setDefuzzifier(new Centroid(200)); +Tip->setDefaultValue(fl::nan); +Tip->setLockPreviousValue(false); +Tip->addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); +Tip->addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); +Tip->addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); +engine->addOutputVariable(Tip); -OutputVariable* outputVariable2 = new OutputVariable; -outputVariable2->setEnabled(true); -outputVariable2->setName("CheckPlusTip"); -outputVariable2->setRange(1.000, 1.300); -outputVariable2->fuzzyOutput()->setAccumulation(new AlgebraicSum); -outputVariable2->setDefuzzifier(new Centroid(200)); -outputVariable2->setDefaultValue(fl::nan); -outputVariable2->setLockPreviousOutputValue(false); -outputVariable2->setLockOutputValueInRange(false); -outputVariable2->addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); -outputVariable2->addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); -outputVariable2->addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); -engine->addOutputVariable(outputVariable2); +OutputVariable* CheckPlusTip = new OutputVariable; +CheckPlusTip->setName("CheckPlusTip"); +CheckPlusTip->setDescription(""); +CheckPlusTip->setEnabled(true); +CheckPlusTip->setRange(1.000, 1.300); +CheckPlusTip->setLockValueInRange(false); +CheckPlusTip->setAggregation(new AlgebraicSum); +CheckPlusTip->setDefuzzifier(new Centroid(200)); +CheckPlusTip->setDefaultValue(fl::nan); +CheckPlusTip->setLockPreviousValue(false); +CheckPlusTip->addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); +CheckPlusTip->addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); +CheckPlusTip->addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); +engine->addOutputVariable(CheckPlusTip); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new AlgebraicProduct); ruleBlock->setDisjunction(new Maximum); -ruleBlock->setActivation(new Minimum); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent", engine)); +ruleBlock->setImplication(new Minimum); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fcl b/examples/mamdani/octave/mamdani_tip_calculator.fcl index 3ea903a..0265bc2 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.fcl +++ b/examples/mamdani/octave/mamdani_tip_calculator.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK Mamdani-Tip-Calculator +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK mamdani_tip_calculator VAR_INPUT FoodQuality: REAL; diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fis b/examples/mamdani/octave/mamdani_tip_calculator.fis index 42cf1df..13cd802 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.fis +++ b/examples/mamdani/octave/mamdani_tip_calculator.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='Mamdani-Tip-Calculator' +Name='mamdani_tip_calculator' Type='mamdani' +Version=6.0 NumInputs=2 NumOutputs=2 NumRules=4 AndMethod='prod' OrMethod='max' ImpMethod='min' -AggMethod='sum' +AggMethod='probor' DefuzzMethod='centroid' [Input1] diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fld b/examples/mamdani/octave/mamdani_tip_calculator.fld index 9d54109..9d87eab 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.fld +++ b/examples/mamdani/octave/mamdani_tip_calculator.fld @@ -1,1026 +1,1025 @@ -#@Engine: Mamdani-Tip-Calculator; -#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: Tip; @OutputVariable: CheckPlusTip; 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3.612903226 16.133823742 1.161338237 +8.838709677 3.903225806 16.479227686 1.164792277 +8.838709677 4.193548387 16.778452741 1.167784527 +8.838709677 4.483870968 17.050023823 1.170500238 +8.838709677 4.774193548 17.305719073 1.173057191 +8.838709677 5.064516129 17.555546435 1.175555464 +8.838709677 5.354838710 17.806398651 1.178063987 +8.838709677 5.645161290 18.068098179 1.180680982 +8.838709677 5.935483871 18.349962605 1.183499626 +8.838709677 6.225806452 18.667017714 1.186670177 +8.838709677 6.516129032 19.041899081 1.190418991 +8.838709677 6.806451613 19.524964154 1.195249642 +8.838709677 7.096774194 19.999997043 1.199999970 +8.838709677 7.387096774 19.999997043 1.199999970 +8.838709677 7.677419355 19.999997043 1.199999970 +8.838709677 7.967741935 19.999997043 1.199999970 +8.838709677 8.258064516 19.999997043 1.199999970 +8.838709677 8.548387097 19.999997043 1.199999970 +8.838709677 8.838709677 19.999997043 1.199999970 +8.838709677 9.129032258 19.999997043 1.199999970 +8.838709677 9.419354839 19.999997043 1.199999970 +8.838709677 9.709677419 19.999997043 1.199999970 +8.838709677 10.000000000 19.999997043 1.199999970 +9.129032258 1.000000000 15.000000000 1.150000000 +9.129032258 1.290322581 15.000000000 1.150000000 +9.129032258 1.580645161 15.000000000 1.150000000 +9.129032258 1.870967742 15.000000000 1.150000000 +9.129032258 2.161290323 15.000000000 1.150000000 +9.129032258 2.451612903 15.000000000 1.150000000 +9.129032258 2.741935484 15.000000000 1.150000000 +9.129032258 3.032258065 15.103574890 1.151035749 +9.129032258 3.322580645 15.708449495 1.157084495 +9.129032258 3.612903226 16.133823742 1.161338237 +9.129032258 3.903225806 16.479227686 1.164792277 +9.129032258 4.193548387 16.778452741 1.167784527 +9.129032258 4.483870968 17.050023823 1.170500238 +9.129032258 4.774193548 17.305719073 1.173057191 +9.129032258 5.064516129 17.555546435 1.175555464 +9.129032258 5.354838710 17.806398651 1.178063987 +9.129032258 5.645161290 18.068098179 1.180680982 +9.129032258 5.935483871 18.349962605 1.183499626 +9.129032258 6.225806452 18.667017714 1.186670177 +9.129032258 6.516129032 19.041899081 1.190418991 +9.129032258 6.806451613 19.524964154 1.195249642 +9.129032258 7.096774194 19.999997043 1.199999970 +9.129032258 7.387096774 19.999997043 1.199999970 +9.129032258 7.677419355 19.999997043 1.199999970 +9.129032258 7.967741935 19.999997043 1.199999970 +9.129032258 8.258064516 19.999997043 1.199999970 +9.129032258 8.548387097 19.999997043 1.199999970 +9.129032258 8.838709677 19.999997043 1.199999970 +9.129032258 9.129032258 19.999997043 1.199999970 +9.129032258 9.419354839 19.999997043 1.199999970 +9.129032258 9.709677419 19.999997043 1.199999970 +9.129032258 10.000000000 19.999997043 1.199999970 +9.419354839 1.000000000 15.000000000 1.150000000 +9.419354839 1.290322581 15.000000000 1.150000000 +9.419354839 1.580645161 15.000000000 1.150000000 +9.419354839 1.870967742 15.000000000 1.150000000 +9.419354839 2.161290323 15.000000000 1.150000000 +9.419354839 2.451612903 15.000000000 1.150000000 +9.419354839 2.741935484 15.000000000 1.150000000 +9.419354839 3.032258065 15.103574890 1.151035749 +9.419354839 3.322580645 15.708449495 1.157084495 +9.419354839 3.612903226 16.133823742 1.161338237 +9.419354839 3.903225806 16.479227686 1.164792277 +9.419354839 4.193548387 16.778452741 1.167784527 +9.419354839 4.483870968 17.050023823 1.170500238 +9.419354839 4.774193548 17.305719073 1.173057191 +9.419354839 5.064516129 17.555546435 1.175555464 +9.419354839 5.354838710 17.806398651 1.178063987 +9.419354839 5.645161290 18.068098179 1.180680982 +9.419354839 5.935483871 18.349962605 1.183499626 +9.419354839 6.225806452 18.667017714 1.186670177 +9.419354839 6.516129032 19.041899081 1.190418991 +9.419354839 6.806451613 19.524964154 1.195249642 +9.419354839 7.096774194 19.999997043 1.199999970 +9.419354839 7.387096774 19.999997043 1.199999970 +9.419354839 7.677419355 19.999997043 1.199999970 +9.419354839 7.967741935 19.999997043 1.199999970 +9.419354839 8.258064516 19.999997043 1.199999970 +9.419354839 8.548387097 19.999997043 1.199999970 +9.419354839 8.838709677 19.999997043 1.199999970 +9.419354839 9.129032258 19.999997043 1.199999970 +9.419354839 9.419354839 19.999997043 1.199999970 +9.419354839 9.709677419 19.999997043 1.199999970 +9.419354839 10.000000000 19.999997043 1.199999970 +9.709677419 1.000000000 15.000000000 1.150000000 +9.709677419 1.290322581 15.000000000 1.150000000 +9.709677419 1.580645161 15.000000000 1.150000000 +9.709677419 1.870967742 15.000000000 1.150000000 +9.709677419 2.161290323 15.000000000 1.150000000 +9.709677419 2.451612903 15.000000000 1.150000000 +9.709677419 2.741935484 15.000000000 1.150000000 +9.709677419 3.032258065 15.103574890 1.151035749 +9.709677419 3.322580645 15.708449495 1.157084495 +9.709677419 3.612903226 16.133823742 1.161338237 +9.709677419 3.903225806 16.479227686 1.164792277 +9.709677419 4.193548387 16.778452741 1.167784527 +9.709677419 4.483870968 17.050023823 1.170500238 +9.709677419 4.774193548 17.305719073 1.173057191 +9.709677419 5.064516129 17.555546435 1.175555464 +9.709677419 5.354838710 17.806398651 1.178063987 +9.709677419 5.645161290 18.068098179 1.180680982 +9.709677419 5.935483871 18.349962605 1.183499626 +9.709677419 6.225806452 18.667017714 1.186670177 +9.709677419 6.516129032 19.041899081 1.190418991 +9.709677419 6.806451613 19.524964154 1.195249642 +9.709677419 7.096774194 19.999997043 1.199999970 +9.709677419 7.387096774 19.999997043 1.199999970 +9.709677419 7.677419355 19.999997043 1.199999970 +9.709677419 7.967741935 19.999997043 1.199999970 +9.709677419 8.258064516 19.999997043 1.199999970 +9.709677419 8.548387097 19.999997043 1.199999970 +9.709677419 8.838709677 19.999997043 1.199999970 +9.709677419 9.129032258 19.999997043 1.199999970 +9.709677419 9.419354839 19.999997043 1.199999970 +9.709677419 9.709677419 19.999997043 1.199999970 +9.709677419 10.000000000 19.999997043 1.199999970 +10.000000000 1.000000000 15.000000000 1.150000000 +10.000000000 1.290322581 15.000000000 1.150000000 +10.000000000 1.580645161 15.000000000 1.150000000 +10.000000000 1.870967742 15.000000000 1.150000000 +10.000000000 2.161290323 15.000000000 1.150000000 +10.000000000 2.451612903 15.000000000 1.150000000 +10.000000000 2.741935484 15.000000000 1.150000000 +10.000000000 3.032258065 15.103574890 1.151035749 +10.000000000 3.322580645 15.708449495 1.157084495 +10.000000000 3.612903226 16.133823742 1.161338237 +10.000000000 3.903225806 16.479227686 1.164792277 +10.000000000 4.193548387 16.778452741 1.167784527 +10.000000000 4.483870968 17.050023823 1.170500238 +10.000000000 4.774193548 17.305719073 1.173057191 +10.000000000 5.064516129 17.555546435 1.175555464 +10.000000000 5.354838710 17.806398651 1.178063987 +10.000000000 5.645161290 18.068098179 1.180680982 +10.000000000 5.935483871 18.349962605 1.183499626 +10.000000000 6.225806452 18.667017714 1.186670177 +10.000000000 6.516129032 19.041899081 1.190418991 +10.000000000 6.806451613 19.524964154 1.195249642 +10.000000000 7.096774194 19.999997043 1.199999970 +10.000000000 7.387096774 19.999997043 1.199999970 +10.000000000 7.677419355 19.999997043 1.199999970 +10.000000000 7.967741935 19.999997043 1.199999970 +10.000000000 8.258064516 19.999997043 1.199999970 +10.000000000 8.548387097 19.999997043 1.199999970 +10.000000000 8.838709677 19.999997043 1.199999970 +10.000000000 9.129032258 19.999997043 1.199999970 +10.000000000 9.419354839 19.999997043 1.199999970 +10.000000000 9.709677419 19.999997043 1.199999970 +10.000000000 10.000000000 19.999997043 1.199999970 diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fll b/examples/mamdani/octave/mamdani_tip_calculator.fll index b6c1920..516d870 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.fll +++ b/examples/mamdani/octave/mamdani_tip_calculator.fll @@ -1,33 +1,35 @@ -Engine: Mamdani-Tip-Calculator +Engine: mamdani_tip_calculator InputVariable: FoodQuality enabled: true range: 1.000 10.000 + lock-range: false term: Bad Trapezoid 0.000 1.000 3.000 7.000 term: Good Trapezoid 3.000 7.000 10.000 11.000 InputVariable: Service enabled: true range: 1.000 10.000 + lock-range: false term: Bad Trapezoid 0.000 1.000 3.000 7.000 term: Good Trapezoid 3.000 7.000 10.000 11.000 OutputVariable: Tip enabled: true range: 0.000 30.000 - accumulation: AlgebraicSum + lock-range: false + aggregation: AlgebraicSum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: AboutTenPercent Gaussian 10.000 2.000 term: AboutFifteenPercent Gaussian 15.000 2.000 term: AboutTwentyPercent Gaussian 20.000 2.000 OutputVariable: CheckPlusTip enabled: true range: 1.000 1.300 - accumulation: AlgebraicSum + lock-range: false + aggregation: AlgebraicSum defuzzifier: Centroid 200 default: nan lock-previous: false - lock-range: false term: PlusAboutTenPercent Gaussian 1.100 0.020 term: PlusAboutFifteenPercent Gaussian 1.150 0.020 term: PlusAboutTwentyPercent Gaussian 1.200 0.020 @@ -35,7 +37,8 @@ RuleBlock: enabled: true conjunction: AlgebraicProduct disjunction: Maximum - activation: Minimum + implication: Minimum + activation: General rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent diff --git a/examples/mamdani/octave/mamdani_tip_calculator.java b/examples/mamdani/octave/mamdani_tip_calculator.java index bea319b..faea466 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.java +++ b/examples/mamdani/octave/mamdani_tip_calculator.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,59 +13,70 @@ import com.fuzzylite.variable.*; public class mamdani_tip_calculator{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Mamdani-Tip-Calculator"); +engine.setName("mamdani_tip_calculator"); +engine.setDescription(""); -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("FoodQuality"); -inputVariable1.setRange(1.000, 10.000); -inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable1); +InputVariable FoodQuality = new InputVariable(); +FoodQuality.setName("FoodQuality"); +FoodQuality.setDescription(""); +FoodQuality.setEnabled(true); +FoodQuality.setRange(1.000, 10.000); +FoodQuality.setLockValueInRange(false); +FoodQuality.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(FoodQuality); -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("Service"); -inputVariable2.setRange(1.000, 10.000); -inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable2); +InputVariable Service = new InputVariable(); +Service.setName("Service"); +Service.setDescription(""); +Service.setEnabled(true); +Service.setRange(1.000, 10.000); +Service.setLockValueInRange(false); +Service.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(Service); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("Tip"); -outputVariable1.setRange(0.000, 30.000); -outputVariable1.fuzzyOutput().setAccumulation(new AlgebraicSum()); -outputVariable1.setDefuzzifier(new Centroid(200)); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(false); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); -outputVariable1.addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); -outputVariable1.addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); -engine.addOutputVariable(outputVariable1); +OutputVariable Tip = new OutputVariable(); +Tip.setName("Tip"); +Tip.setDescription(""); +Tip.setEnabled(true); +Tip.setRange(0.000, 30.000); +Tip.setLockValueInRange(false); +Tip.setAggregation(new AlgebraicSum()); +Tip.setDefuzzifier(new Centroid(200)); +Tip.setDefaultValue(Double.NaN); +Tip.setLockPreviousValue(false); +Tip.addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); +Tip.addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); +Tip.addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); +engine.addOutputVariable(Tip); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("CheckPlusTip"); -outputVariable2.setRange(1.000, 1.300); -outputVariable2.fuzzyOutput().setAccumulation(new AlgebraicSum()); -outputVariable2.setDefuzzifier(new Centroid(200)); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(false); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); -outputVariable2.addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); -outputVariable2.addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); -engine.addOutputVariable(outputVariable2); +OutputVariable CheckPlusTip = new OutputVariable(); +CheckPlusTip.setName("CheckPlusTip"); +CheckPlusTip.setDescription(""); +CheckPlusTip.setEnabled(true); +CheckPlusTip.setRange(1.000, 1.300); +CheckPlusTip.setLockValueInRange(false); +CheckPlusTip.setAggregation(new AlgebraicSum()); +CheckPlusTip.setDefuzzifier(new Centroid(200)); +CheckPlusTip.setDefaultValue(Double.NaN); +CheckPlusTip.setLockPreviousValue(false); +CheckPlusTip.addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); +CheckPlusTip.addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); +CheckPlusTip.addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); +engine.addOutputVariable(CheckPlusTip); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new AlgebraicProduct()); ruleBlock.setDisjunction(new Maximum()); -ruleBlock.setActivation(new Minimum()); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); diff --git a/examples/mamdani/octave/mamdani_tip_calculator.pdf b/examples/mamdani/octave/mamdani_tip_calculator.pdf Binary files differnew file mode 100644 index 0000000..d62a142 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.pdf diff --git a/examples/original/mamdani/AllTerms.fll b/examples/original/mamdani/AllTerms.fll index 58d5705..bed89c8 100644 --- a/examples/original/mamdani/AllTerms.fll +++ b/examples/original/mamdani/AllTerms.fll @@ -1,4 +1,4 @@ -Engine: qtfuzzylite +Engine: AllTerms InputVariable: AllInputTerms enabled: true range: 0.000 6.500 @@ -25,7 +25,7 @@ InputVariable: AllInputTerms OutputVariable: AllOutputTerms enabled: true range: 0.000 6.500 - accumulation: Maximum + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false @@ -54,7 +54,8 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: Maximum - activation: Minimum + implication: Minimum + activation: General rule: if AllInputTerms is A then AllOutputTerms is T rule: if AllInputTerms is B then AllOutputTerms is S rule: if AllInputTerms is C then AllOutputTerms is R @@ -74,4 +75,4 @@ RuleBlock: rule: if AllInputTerms is Q then AllOutputTerms is D rule: if AllInputTerms is R then AllOutputTerms is C rule: if AllInputTerms is S then AllOutputTerms is B - rule: if AllInputTerms is T then AllOutputTerms is A
\ No newline at end of file + rule: if AllInputTerms is T then AllOutputTerms is A diff --git a/examples/original/mamdani/Laundry.fll b/examples/original/mamdani/Laundry.fll index cc002bb..36e67d5 100644 --- a/examples/original/mamdani/Laundry.fll +++ b/examples/original/mamdani/Laundry.fll @@ -12,7 +12,7 @@ InputVariable: Dirt OutputVariable: Detergent enabled: true range: 0.000 80.000 - accumulation: Maximum + aggregation: Maximum defuzzifier: MeanOfMaximum 500 default: nan lock-previous: false @@ -23,7 +23,7 @@ OutputVariable: Detergent OutputVariable: Cycle enabled: true range: 0.000 20.000 - accumulation: Maximum + aggregation: Maximum defuzzifier: MeanOfMaximum 500 default: nan lock-previous: false @@ -34,10 +34,11 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: Maximum - activation: Minimum + implication: Minimum + activation: General rule: if Load is small and Dirt is not high then Detergent is less_than_usual rule: if Load is small and Dirt is high then Detergent is usual rule: if Load is normal and Dirt is low then Detergent is less_than_usual rule: if Load is normal and Dirt is high then Detergent is more_than_usual rule: if Detergent is usual or Detergent is less_than_usual then Cycle is short - rule: if Detergent is more_than_usual then Cycle is long
\ No newline at end of file + rule: if Detergent is more_than_usual then Cycle is long diff --git a/examples/original/mamdani/SimpleDimmer.fll b/examples/original/mamdani/SimpleDimmer.fll index 3a4f8f9..ab91b72 100644 --- a/examples/original/mamdani/SimpleDimmer.fll +++ b/examples/original/mamdani/SimpleDimmer.fll @@ -1,4 +1,4 @@ -Engine: simple-dimmer +Engine: SimpleDimmer InputVariable: Ambient enabled: true range: 0.000 1.000 @@ -8,7 +8,7 @@ InputVariable: Ambient OutputVariable: Power enabled: true range: 0.000 1.000 - accumulation: Maximum + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false @@ -20,7 +20,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: Minimum + implication: Minimum + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM - rule: if Ambient is BRIGHT then Power is LOW
\ No newline at end of file + rule: if Ambient is BRIGHT then Power is LOW diff --git a/examples/original/mamdani/SimpleDimmerInverse.fll b/examples/original/mamdani/SimpleDimmerInverse.fll index fd6b945..3cd7a4a 100644 --- a/examples/original/mamdani/SimpleDimmerInverse.fll +++ b/examples/original/mamdani/SimpleDimmerInverse.fll @@ -1,4 +1,4 @@ -Engine: simple-dimmer +Engine: SimpleDimmerInverse InputVariable: Ambient enabled: true range: 0.000 1.000 @@ -8,7 +8,7 @@ InputVariable: Ambient OutputVariable: Power enabled: true range: 0.000 1.000 - accumulation: Maximum + aggregation: Maximum defuzzifier: Centroid 200 default: nan lock-previous: false @@ -19,7 +19,7 @@ OutputVariable: Power OutputVariable: InversePower enabled: true range: 0.000 1.000 - accumulation: Maximum + aggregation: Maximum defuzzifier: Centroid 500 default: nan lock-previous: false @@ -31,10 +31,11 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: Minimum + implication: Minimum + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM rule: if Ambient is BRIGHT then Power is LOW rule: if Power is LOW then InversePower is HIGH rule: if Power is MEDIUM then InversePower is MEDIUM - rule: if Power is HIGH then InversePower is LOW
\ No newline at end of file + rule: if Power is HIGH then InversePower is LOW diff --git a/examples/original/mamdani/octave/investment_portfolio.fll b/examples/original/mamdani/octave/investment_portfolio.fll index 4bb14e1..a383512 100644 --- a/examples/original/mamdani/octave/investment_portfolio.fll +++ b/examples/original/mamdani/octave/investment_portfolio.fll @@ -1,4 +1,4 @@ -Engine: Investment-Portfolio +Engine: investment_portfolio InputVariable: Age enabled: true range: 20.000 100.000 @@ -12,7 +12,7 @@ InputVariable: RiskTolerance OutputVariable: PercentageInStocks enabled: true range: 0.000 100.000 - accumulation: EinsteinSum + aggregation: EinsteinSum defuzzifier: Centroid 200 default: nan lock-previous: false @@ -24,8 +24,9 @@ RuleBlock: enabled: true conjunction: EinsteinProduct disjunction: EinsteinSum - activation: EinsteinProduct + implication: EinsteinProduct + activation: General rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 - rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500
\ No newline at end of file + rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500 diff --git a/examples/original/mamdani/octave/mamdani_tip_calculator.fll b/examples/original/mamdani/octave/mamdani_tip_calculator.fll index b6c1920..15a94b9 100644 --- a/examples/original/mamdani/octave/mamdani_tip_calculator.fll +++ b/examples/original/mamdani/octave/mamdani_tip_calculator.fll @@ -1,4 +1,4 @@ -Engine: Mamdani-Tip-Calculator +Engine: mamdani_tip_calculator InputVariable: FoodQuality enabled: true range: 1.000 10.000 @@ -12,7 +12,7 @@ InputVariable: Service OutputVariable: Tip enabled: true range: 0.000 30.000 - accumulation: AlgebraicSum + aggregation: AlgebraicSum defuzzifier: Centroid 200 default: nan lock-previous: false @@ -23,7 +23,7 @@ OutputVariable: Tip OutputVariable: CheckPlusTip enabled: true range: 1.000 1.300 - accumulation: AlgebraicSum + aggregation: AlgebraicSum defuzzifier: Centroid 200 default: nan lock-previous: false @@ -35,8 +35,9 @@ RuleBlock: enabled: true conjunction: AlgebraicProduct disjunction: Maximum - activation: Minimum + implication: Minimum + activation: General rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent - rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent
\ No newline at end of file + rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent diff --git a/examples/original/takagi-sugeno/SimpleDimmer.fll b/examples/original/takagi-sugeno/SimpleDimmer.fll index 15050ee..dc46ec8 100644 --- a/examples/original/takagi-sugeno/SimpleDimmer.fll +++ b/examples/original/takagi-sugeno/SimpleDimmer.fll @@ -1,4 +1,4 @@ -Engine: simple-dimmer +Engine: SimpleDimmer InputVariable: Ambient enabled: true range: 0.000 1.000 @@ -8,7 +8,7 @@ InputVariable: Ambient OutputVariable: Power enabled: true range: 0.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -20,7 +20,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM rule: if Ambient is BRIGHT then Power is LOW diff --git a/examples/original/takagi-sugeno/approximation.fll b/examples/original/takagi-sugeno/approximation.fll index 66fb813..63964dc 100644 --- a/examples/original/takagi-sugeno/approximation.fll +++ b/examples/original/takagi-sugeno/approximation.fll @@ -1,4 +1,4 @@ -Engine: approximation of sin(x)/x +Engine: approximation InputVariable: inputX enabled: true range: 0.000 10.000 @@ -14,7 +14,7 @@ InputVariable: inputX OutputVariable: outputFx enabled: true range: -1.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: true @@ -31,7 +31,7 @@ OutputVariable: outputFx OutputVariable: trueFx enabled: true range: -1.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage default: nan lock-previous: true @@ -40,7 +40,7 @@ OutputVariable: trueFx OutputVariable: diffFx enabled: true range: -1.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage default: nan lock-previous: false @@ -50,7 +50,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if inputX is NEAR_1 then outputFx is f1 rule: if inputX is NEAR_2 then outputFx is f2 rule: if inputX is NEAR_3 then outputFx is f3 diff --git a/examples/original/takagi-sugeno/octave/cubic_approximator.fll b/examples/original/takagi-sugeno/octave/cubic_approximator.fll index 28ba40a..7d2c157 100644 --- a/examples/original/takagi-sugeno/octave/cubic_approximator.fll +++ b/examples/original/takagi-sugeno/octave/cubic_approximator.fll @@ -1,4 +1,4 @@ -Engine: Cubic-Approximator +Engine: cubic_approximator InputVariable: X enabled: true range: -5.000 5.000 @@ -16,7 +16,7 @@ InputVariable: X OutputVariable: ApproxXCubed enabled: true range: -5.000 5.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -36,7 +36,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if X is AboutNegFive then ApproxXCubed is TangentatNegFive rule: if X is AboutNegFour then ApproxXCubed is TangentatNegFour rule: if X is AboutNegThree then ApproxXCubed is TangentatNegThree diff --git a/examples/original/takagi-sugeno/octave/heart_disease_risk.fll b/examples/original/takagi-sugeno/octave/heart_disease_risk.fll index c401dd4..4c60466 100644 --- a/examples/original/takagi-sugeno/octave/heart_disease_risk.fll +++ b/examples/original/takagi-sugeno/octave/heart_disease_risk.fll @@ -1,4 +1,4 @@ -Engine: Heart-Disease-Risk +Engine: heart_disease_risk InputVariable: LDLLevel enabled: true range: 0.000 300.000 @@ -16,7 +16,7 @@ InputVariable: HDLLevel OutputVariable: HeartDiseaseRisk enabled: true range: 0.000 10.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -30,7 +30,8 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: none - activation: none + implication: none + activation: General rule: if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk rule: if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk rule: if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk diff --git a/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll b/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll index 34b0334..3b99fc9 100644 --- a/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll +++ b/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll @@ -1,4 +1,4 @@ -Engine: Linear-Tip-Calculator +Engine: linear_tip_calculator InputVariable: FoodQuality enabled: true range: 1.000 10.000 @@ -12,7 +12,7 @@ InputVariable: Service OutputVariable: Tip enabled: true range: 10.000 20.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -24,7 +24,8 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: none - activation: none + implication: none + activation: General rule: if FoodQuality is Bad and Service is Bad then Tip is TenPercent rule: if FoodQuality is Bad and Service is Good then Tip is FifteenPercent rule: if FoodQuality is Good and Service is Bad then Tip is FifteenPercent diff --git a/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll b/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll index 2006e71..19c5875 100644 --- a/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll +++ b/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll @@ -1,4 +1,4 @@ -Engine: Sugeno-Tip-Calculator +Engine: sugeno_tip_calculator InputVariable: FoodQuality enabled: true range: 1.000 10.000 @@ -12,7 +12,7 @@ InputVariable: Service OutputVariable: CheapTip enabled: true range: 5.000 25.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -23,7 +23,7 @@ OutputVariable: CheapTip OutputVariable: AverageTip enabled: true range: 5.000 25.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -34,7 +34,7 @@ OutputVariable: AverageTip OutputVariable: GenerousTip enabled: true range: 5.000 25.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false @@ -46,7 +46,8 @@ RuleBlock: enabled: true conjunction: EinsteinProduct disjunction: none - activation: none + implication: none + activation: General rule: if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low rule: if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium rule: if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High diff --git a/examples/original/tsukamoto/tsukamoto.fll b/examples/original/tsukamoto/tsukamoto.fll index 1811b81..b8acf99 100644 --- a/examples/original/tsukamoto/tsukamoto.fll +++ b/examples/original/tsukamoto/tsukamoto.fll @@ -1,4 +1,4 @@ -Engine: +Engine: tsukamoto InputVariable: X enabled: true range: -10.000 10.000 @@ -8,7 +8,7 @@ InputVariable: X OutputVariable: Ramps enabled: true range: 0.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage default: nan lock-previous: false @@ -19,7 +19,7 @@ OutputVariable: Ramps OutputVariable: Sigmoids enabled: true range: 0.020 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage default: nan lock-previous: false @@ -30,7 +30,7 @@ OutputVariable: Sigmoids OutputVariable: ZSShapes enabled: true range: 0.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage default: nan lock-previous: false @@ -41,7 +41,7 @@ OutputVariable: ZSShapes OutputVariable: Concaves enabled: true range: 0.000 1.000 - accumulation: none + aggregation: none defuzzifier: WeightedAverage default: nan lock-previous: false @@ -53,7 +53,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a rule: if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b - rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c
\ No newline at end of file + rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c diff --git a/examples/takagi-sugeno/ObstacleAvoidance.R b/examples/takagi-sugeno/ObstacleAvoidance.R new file mode 100644 index 0000000..eb96813 --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.R @@ -0,0 +1,57 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "ObstacleAvoidance" +engine.fll = "Engine: ObstacleAvoidance +InputVariable: obstacle + enabled: true + range: 0.000 1.000 + lock-range: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: tsSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: left Constant 0.333 + term: right Constant 0.666 +RuleBlock: takagiSugeno + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if obstacle is left then tsSteer is right + rule: if obstacle is right then tsSteer is left" + +engine.fldFile = "ObstacleAvoidance.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(obstacle, tsSteer)) + + geom_line(aes(color=tsSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("obstacle vs tsSteer") + +engine.plot.o1_i1 = ggplot(engine.df, aes(obstacle, tsSteer)) + + geom_line(aes(color=tsSteer), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("tsSteer vs obstacle") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/ObstacleAvoidance.cpp b/examples/takagi-sugeno/ObstacleAvoidance.cpp new file mode 100644 index 0000000..32d6ba9 --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.cpp @@ -0,0 +1,49 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + +using namespace fl; + +Engine* engine = new Engine; +engine->setName("ObstacleAvoidance"); +engine->setDescription(""); + +InputVariable* obstacle = new InputVariable; +obstacle->setName("obstacle"); +obstacle->setDescription(""); +obstacle->setEnabled(true); +obstacle->setRange(0.000, 1.000); +obstacle->setLockValueInRange(false); +obstacle->addTerm(new Ramp("left", 1.000, 0.000)); +obstacle->addTerm(new Ramp("right", 0.000, 1.000)); +engine->addInputVariable(obstacle); + +OutputVariable* tsSteer = new OutputVariable; +tsSteer->setName("tsSteer"); +tsSteer->setDescription(""); +tsSteer->setEnabled(true); +tsSteer->setRange(0.000, 1.000); +tsSteer->setLockValueInRange(false); +tsSteer->setAggregation(new Maximum); +tsSteer->setDefuzzifier(new WeightedAverage("Automatic")); +tsSteer->setDefaultValue(fl::nan); +tsSteer->setLockPreviousValue(false); +tsSteer->addTerm(new Constant("left", 0.333)); +tsSteer->addTerm(new Constant("right", 0.666)); +engine->addOutputVariable(tsSteer); + +RuleBlock* takagiSugeno = new RuleBlock; +takagiSugeno->setName("takagiSugeno"); +takagiSugeno->setDescription(""); +takagiSugeno->setEnabled(true); +takagiSugeno->setConjunction(fl::null); +takagiSugeno->setDisjunction(fl::null); +takagiSugeno->setImplication(fl::null); +takagiSugeno->setActivation(new General); +takagiSugeno->addRule(Rule::parse("if obstacle is left then tsSteer is right", engine)); +takagiSugeno->addRule(Rule::parse("if obstacle is right then tsSteer is left", engine)); +engine->addRuleBlock(takagiSugeno); + + +} diff --git a/examples/takagi-sugeno/ObstacleAvoidance.fcl b/examples/takagi-sugeno/ObstacleAvoidance.fcl new file mode 100644 index 0000000..fc4348b --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.fcl @@ -0,0 +1,33 @@ +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK ObstacleAvoidance + +VAR_INPUT + obstacle: REAL; +END_VAR + +VAR_OUTPUT + tsSteer: REAL; +END_VAR + +FUZZIFY obstacle + RANGE := (0.000 .. 1.000); + TERM left := Ramp 1.000 0.000; + TERM right := Ramp 0.000 1.000; +END_FUZZIFY + +DEFUZZIFY tsSteer + RANGE := (0.000 .. 1.000); + TERM left := 0.333; + TERM right := 0.666; + METHOD : COGS; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK takagiSugeno + RULE 1 : if obstacle is left then tsSteer is right + RULE 2 : if obstacle is right then tsSteer is left +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/ObstacleAvoidance.fis b/examples/takagi-sugeno/ObstacleAvoidance.fis new file mode 100644 index 0000000..16c5791 --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.fis @@ -0,0 +1,32 @@ +#Code automatically generated with fuzzylite 6.0. + +[System] +Name='ObstacleAvoidance' +Type='sugeno' +Version=6.0 +NumInputs=1 +NumOutputs=1 +NumRules=2 +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='wtaver' + +[Input1] +Name='obstacle' +Range=[0.000 1.000] +NumMFs=2 +MF1='left':'rampmf',[1.000 0.000] +MF2='right':'rampmf',[0.000 1.000] + +[Output1] +Name='tsSteer' +Range=[0.000 1.000] +NumMFs=2 +MF1='left':'constant',[0.333] +MF2='right':'constant',[0.666] + +[Rules] +1.000 , 2.000 (1.000) : 1 +2.000 , 1.000 (1.000) : 1 diff --git a/examples/takagi-sugeno/ObstacleAvoidance.fld b/examples/takagi-sugeno/ObstacleAvoidance.fld new file mode 100644 index 0000000..00467f3 --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.fld @@ -0,0 +1,1025 @@ +obstacle tsSteer +0.000000000 0.666000000 +0.000977517 0.665674487 +0.001955034 0.665348974 +0.002932551 0.665023460 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+0.981427175 0.339184751 +0.982404692 0.338859238 +0.983382209 0.338533724 +0.984359726 0.338208211 +0.985337243 0.337882698 +0.986314761 0.337557185 +0.987292278 0.337231672 +0.988269795 0.336906158 +0.989247312 0.336580645 +0.990224829 0.336255132 +0.991202346 0.335929619 +0.992179863 0.335604106 +0.993157380 0.335278592 +0.994134897 0.334953079 +0.995112414 0.334627566 +0.996089932 0.334302053 +0.997067449 0.333976540 +0.998044966 0.333651026 +0.999022483 0.333325513 +1.000000000 0.333000000 diff --git a/examples/takagi-sugeno/ObstacleAvoidance.fll b/examples/takagi-sugeno/ObstacleAvoidance.fll new file mode 100644 index 0000000..10b53f4 --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.fll @@ -0,0 +1,25 @@ +Engine: ObstacleAvoidance +InputVariable: obstacle + enabled: true + range: 0.000 1.000 + lock-range: false + term: left Ramp 1.000 0.000 + term: right Ramp 0.000 1.000 +OutputVariable: tsSteer + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: Maximum + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: left Constant 0.333 + term: right Constant 0.666 +RuleBlock: takagiSugeno + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if obstacle is left then tsSteer is right + rule: if obstacle is right then tsSteer is left
\ No newline at end of file diff --git a/examples/takagi-sugeno/ObstacleAvoidance.java b/examples/takagi-sugeno/ObstacleAvoidance.java new file mode 100644 index 0000000..c7c7f67 --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.java @@ -0,0 +1,60 @@ +import com.fuzzylite.*; +import com.fuzzylite.activation.* +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class ObstacleAvoidance{ +public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + +Engine engine = new Engine(); +engine.setName("ObstacleAvoidance"); +engine.setDescription(""); + +InputVariable obstacle = new InputVariable(); +obstacle.setName("obstacle"); +obstacle.setDescription(""); +obstacle.setEnabled(true); +obstacle.setRange(0.000, 1.000); +obstacle.setLockValueInRange(false); +obstacle.addTerm(new Ramp("left", 1.000, 0.000)); +obstacle.addTerm(new Ramp("right", 0.000, 1.000)); +engine.addInputVariable(obstacle); + +OutputVariable tsSteer = new OutputVariable(); +tsSteer.setName("tsSteer"); +tsSteer.setDescription(""); +tsSteer.setEnabled(true); +tsSteer.setRange(0.000, 1.000); +tsSteer.setLockValueInRange(false); +tsSteer.setAggregation(new Maximum()); +tsSteer.setDefuzzifier(new WeightedAverage("Automatic")); +tsSteer.setDefaultValue(Double.NaN); +tsSteer.setLockPreviousValue(false); +tsSteer.addTerm(new Constant("left", 0.333)); +tsSteer.addTerm(new Constant("right", 0.666)); +engine.addOutputVariable(tsSteer); + +RuleBlock takagiSugeno = new RuleBlock(); +takagiSugeno.setName("takagiSugeno"); +takagiSugeno.setDescription(""); +takagiSugeno.setEnabled(true); +takagiSugeno.setConjunction(null); +takagiSugeno.setDisjunction(null); +takagiSugeno.setImplication(null); +takagiSugeno.setActivation(new General()); +takagiSugeno.addRule(Rule.parse("if obstacle is left then tsSteer is right", engine)); +takagiSugeno.addRule(Rule.parse("if obstacle is right then tsSteer is left", engine)); +engine.addRuleBlock(takagiSugeno); + + +} +} diff --git a/examples/takagi-sugeno/ObstacleAvoidance.pdf b/examples/takagi-sugeno/ObstacleAvoidance.pdf Binary files differnew file mode 100644 index 0000000..28d0a7a --- /dev/null +++ b/examples/takagi-sugeno/ObstacleAvoidance.pdf diff --git a/examples/takagi-sugeno/SimpleDimmer.R b/examples/takagi-sugeno/SimpleDimmer.R new file mode 100644 index 0000000..8502922 --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.R @@ -0,0 +1,60 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "SimpleDimmer" +engine.fll = "Engine: SimpleDimmer +InputVariable: Ambient + enabled: true + range: 0.000 1.000 + lock-range: false + term: DARK Triangle 0.000 0.250 0.500 + term: MEDIUM Triangle 0.250 0.500 0.750 + term: BRIGHT Triangle 0.500 0.750 1.000 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: LOW Constant 0.250 + term: MEDIUM Constant 0.500 + term: HIGH Constant 0.750 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW" + +engine.fldFile = "SimpleDimmer.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("Ambient vs Power") + +engine.plot.o1_i1 = ggplot(engine.df, aes(Ambient, Power)) + + geom_line(aes(color=Power), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Power vs Ambient") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/SimpleDimmer.cpp b/examples/takagi-sugeno/SimpleDimmer.cpp index bd7e6ee..735096b 100644 --- a/examples/takagi-sugeno/SimpleDimmer.cpp +++ b/examples/takagi-sugeno/SimpleDimmer.cpp @@ -1,43 +1,51 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("simple-dimmer"); - -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("Ambient"); -inputVariable->setRange(0.000, 1.000); -inputVariable->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); -inputVariable->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -inputVariable->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); -engine->addInputVariable(inputVariable); - -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("Power"); -outputVariable->setRange(0.000, 1.000); -outputVariable->fuzzyOutput()->setAccumulation(fl::null); -outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(new Constant("LOW", 0.250)); -outputVariable->addTerm(new Constant("MEDIUM", 0.500)); -outputVariable->addTerm(new Constant("HIGH", 0.750)); -engine->addOutputVariable(outputVariable); +engine->setName("SimpleDimmer"); +engine->setDescription(""); + +InputVariable* Ambient = new InputVariable; +Ambient->setName("Ambient"); +Ambient->setDescription(""); +Ambient->setEnabled(true); +Ambient->setRange(0.000, 1.000); +Ambient->setLockValueInRange(false); +Ambient->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine->addInputVariable(Ambient); + +OutputVariable* Power = new OutputVariable; +Power->setName("Power"); +Power->setDescription(""); +Power->setEnabled(true); +Power->setRange(0.000, 1.000); +Power->setLockValueInRange(false); +Power->setAggregation(fl::null); +Power->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +Power->setDefaultValue(fl::nan); +Power->setLockPreviousValue(false); +Power->addTerm(new Constant("LOW", 0.250)); +Power->addTerm(new Constant("MEDIUM", 0.500)); +Power->addTerm(new Constant("HIGH", 0.750)); +engine->addOutputVariable(Power); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(fl::null); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if Ambient is DARK then Power is HIGH", engine)); -ruleBlock->addRule(fl::Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); -ruleBlock->addRule(fl::Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock->addRule(Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/takagi-sugeno/SimpleDimmer.fcl b/examples/takagi-sugeno/SimpleDimmer.fcl index 65ccd94..a30f2c9 100644 --- a/examples/takagi-sugeno/SimpleDimmer.fcl +++ b/examples/takagi-sugeno/SimpleDimmer.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK simple-dimmer +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK SimpleDimmer VAR_INPUT Ambient: REAL; diff --git a/examples/takagi-sugeno/SimpleDimmer.fis b/examples/takagi-sugeno/SimpleDimmer.fis index 9557f61..3988290 100644 --- a/examples/takagi-sugeno/SimpleDimmer.fis +++ b/examples/takagi-sugeno/SimpleDimmer.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='simple-dimmer' +Name='SimpleDimmer' Type='sugeno' +Version=6.0 NumInputs=1 NumOutputs=1 NumRules=3 -AndMethod='' -OrMethod='' -ImpMethod='' -AggMethod='' +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] diff --git a/examples/takagi-sugeno/SimpleDimmer.fld b/examples/takagi-sugeno/SimpleDimmer.fld index 6efef0a..9c2d25b 100644 --- a/examples/takagi-sugeno/SimpleDimmer.fld +++ b/examples/takagi-sugeno/SimpleDimmer.fld @@ -1,1026 +1,1025 @@ -#@Engine: simple-dimmer; -#@InputVariable: Ambient; @OutputVariable: Power; -0.00000000 nan -0.00097752 0.75000000 -0.00195503 0.75000000 -0.00293255 0.75000000 -0.00391007 0.75000000 -0.00488759 0.75000000 -0.00586510 0.75000000 -0.00684262 0.75000000 -0.00782014 0.75000000 -0.00879765 0.75000000 -0.00977517 0.75000000 -0.01075269 0.75000000 -0.01173021 0.75000000 -0.01270772 0.75000000 -0.01368524 0.75000000 -0.01466276 0.75000000 -0.01564027 0.75000000 -0.01661779 0.75000000 -0.01759531 0.75000000 -0.01857283 0.75000000 -0.01955034 0.75000000 -0.02052786 0.75000000 -0.02150538 0.75000000 -0.02248289 0.75000000 -0.02346041 0.75000000 -0.02443793 0.75000000 -0.02541544 0.75000000 -0.02639296 0.75000000 -0.02737048 0.75000000 -0.02834800 0.75000000 -0.02932551 0.75000000 -0.03030303 0.75000000 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defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: LOW Constant 0.250 term: MEDIUM Constant 0.500 term: HIGH Constant 0.750 @@ -20,7 +21,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if Ambient is DARK then Power is HIGH rule: if Ambient is MEDIUM then Power is MEDIUM rule: if Ambient is BRIGHT then Power is LOW
\ No newline at end of file diff --git a/examples/takagi-sugeno/SimpleDimmer.java b/examples/takagi-sugeno/SimpleDimmer.java index 6d60f0e..c3c53e9 100644 --- a/examples/takagi-sugeno/SimpleDimmer.java +++ b/examples/takagi-sugeno/SimpleDimmer.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,38 +13,46 @@ import com.fuzzylite.variable.*; public class SimpleDimmer{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("simple-dimmer"); +engine.setName("SimpleDimmer"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("Ambient"); -inputVariable.setRange(0.000, 1.000); -inputVariable.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); -inputVariable.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); -inputVariable.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); -engine.addInputVariable(inputVariable); +InputVariable Ambient = new InputVariable(); +Ambient.setName("Ambient"); +Ambient.setDescription(""); +Ambient.setEnabled(true); +Ambient.setRange(0.000, 1.000); +Ambient.setLockValueInRange(false); +Ambient.addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +Ambient.addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +Ambient.addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine.addInputVariable(Ambient); -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("Power"); -outputVariable.setRange(0.000, 1.000); -outputVariable.fuzzyOutput().setAccumulation(null); -outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Constant("LOW", 0.250)); -outputVariable.addTerm(new Constant("MEDIUM", 0.500)); -outputVariable.addTerm(new Constant("HIGH", 0.750)); -engine.addOutputVariable(outputVariable); +OutputVariable Power = new OutputVariable(); +Power.setName("Power"); +Power.setDescription(""); +Power.setEnabled(true); +Power.setRange(0.000, 1.000); +Power.setLockValueInRange(false); +Power.setAggregation(null); +Power.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +Power.setDefaultValue(Double.NaN); +Power.setLockPreviousValue(false); +Power.addTerm(new Constant("LOW", 0.250)); +Power.addTerm(new Constant("MEDIUM", 0.500)); +Power.addTerm(new Constant("HIGH", 0.750)); +engine.addOutputVariable(Power); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(null); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine)); ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine)); diff --git a/examples/takagi-sugeno/SimpleDimmer.pdf b/examples/takagi-sugeno/SimpleDimmer.pdf Binary files differnew file mode 100644 index 0000000..f35dec9 --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.pdf diff --git a/examples/takagi-sugeno/approximation.R b/examples/takagi-sugeno/approximation.R new file mode 100644 index 0000000..89c0654 --- /dev/null +++ b/examples/takagi-sugeno/approximation.R @@ -0,0 +1,119 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "approximation" +engine.fll = "Engine: approximation +InputVariable: inputX + enabled: true + range: 0.000 10.000 + lock-range: false + term: NEAR_1 Triangle 0.000 1.000 2.000 + term: NEAR_2 Triangle 1.000 2.000 3.000 + term: NEAR_3 Triangle 2.000 3.000 4.000 + term: NEAR_4 Triangle 3.000 4.000 5.000 + term: NEAR_5 Triangle 4.000 5.000 6.000 + term: NEAR_6 Triangle 5.000 6.000 7.000 + term: NEAR_7 Triangle 6.000 7.000 8.000 + term: NEAR_8 Triangle 7.000 8.000 9.000 + term: NEAR_9 Triangle 8.000 9.000 10.000 +OutputVariable: outputFx + enabled: true + range: -1.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: true + term: f1 Constant 0.840 + term: f2 Constant 0.450 + term: f3 Constant 0.040 + term: f4 Constant -0.180 + term: f5 Constant -0.190 + term: f6 Constant -0.040 + term: f7 Constant 0.090 + term: f8 Constant 0.120 + term: f9 Constant 0.040 +OutputVariable: trueFx + enabled: true + range: -1.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: true + term: fx Function sin(inputX)/inputX +OutputVariable: diffFx + enabled: true + range: -1.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: diff Function fabs(outputFx-trueFx) +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if inputX is NEAR_1 then outputFx is f1 + rule: if inputX is NEAR_2 then outputFx is f2 + rule: if inputX is NEAR_3 then outputFx is f3 + rule: if inputX is NEAR_4 then outputFx is f4 + rule: if inputX is NEAR_5 then outputFx is f5 + rule: if inputX is NEAR_6 then outputFx is f6 + rule: if inputX is NEAR_7 then outputFx is f7 + rule: if inputX is NEAR_8 then outputFx is f8 + rule: if inputX is NEAR_9 then outputFx is f9 + rule: if inputX is any then trueFx is fx and diffFx is diff" + +engine.fldFile = "approximation.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(inputX, outputFx)) + + geom_line(aes(color=outputFx), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("inputX vs outputFx") + +engine.plot.o1_i1 = ggplot(engine.df, aes(inputX, outputFx)) + + geom_line(aes(color=outputFx), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("outputFx vs inputX") + +engine.plot.i1_o2 = ggplot(engine.df, aes(inputX, trueFx)) + + geom_line(aes(color=trueFx), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("inputX vs trueFx") + +engine.plot.o2_i1 = ggplot(engine.df, aes(inputX, trueFx)) + + geom_line(aes(color=trueFx), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("trueFx vs inputX") + +engine.plot.i1_o3 = ggplot(engine.df, aes(inputX, diffFx)) + + geom_line(aes(color=diffFx), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("inputX vs diffFx") + +engine.plot.o3_i1 = ggplot(engine.df, aes(inputX, diffFx)) + + geom_line(aes(color=diffFx), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("diffFx vs inputX") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, engine.plot.i1_o3, engine.plot.o3_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/approximation.cpp b/examples/takagi-sugeno/approximation.cpp index 178f162..da0a307 100644 --- a/examples/takagi-sugeno/approximation.cpp +++ b/examples/takagi-sugeno/approximation.cpp @@ -1,86 +1,96 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("approximation of sin(x)/x"); +engine->setName("approximation"); +engine->setDescription(""); -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("inputX"); -inputVariable->setRange(0.000, 10.000); -inputVariable->addTerm(new Triangle("NEAR_1", 0.000, 1.000, 2.000)); -inputVariable->addTerm(new Triangle("NEAR_2", 1.000, 2.000, 3.000)); -inputVariable->addTerm(new Triangle("NEAR_3", 2.000, 3.000, 4.000)); -inputVariable->addTerm(new Triangle("NEAR_4", 3.000, 4.000, 5.000)); -inputVariable->addTerm(new Triangle("NEAR_5", 4.000, 5.000, 6.000)); -inputVariable->addTerm(new Triangle("NEAR_6", 5.000, 6.000, 7.000)); -inputVariable->addTerm(new Triangle("NEAR_7", 6.000, 7.000, 8.000)); -inputVariable->addTerm(new Triangle("NEAR_8", 7.000, 8.000, 9.000)); -inputVariable->addTerm(new Triangle("NEAR_9", 8.000, 9.000, 10.000)); -engine->addInputVariable(inputVariable); +InputVariable* inputX = new InputVariable; +inputX->setName("inputX"); +inputX->setDescription(""); +inputX->setEnabled(true); +inputX->setRange(0.000, 10.000); +inputX->setLockValueInRange(false); +inputX->addTerm(new Triangle("NEAR_1", 0.000, 1.000, 2.000)); +inputX->addTerm(new Triangle("NEAR_2", 1.000, 2.000, 3.000)); +inputX->addTerm(new Triangle("NEAR_3", 2.000, 3.000, 4.000)); +inputX->addTerm(new Triangle("NEAR_4", 3.000, 4.000, 5.000)); +inputX->addTerm(new Triangle("NEAR_5", 4.000, 5.000, 6.000)); +inputX->addTerm(new Triangle("NEAR_6", 5.000, 6.000, 7.000)); +inputX->addTerm(new Triangle("NEAR_7", 6.000, 7.000, 8.000)); +inputX->addTerm(new Triangle("NEAR_8", 7.000, 8.000, 9.000)); +inputX->addTerm(new Triangle("NEAR_9", 8.000, 9.000, 10.000)); +engine->addInputVariable(inputX); -OutputVariable* outputVariable1 = new OutputVariable; -outputVariable1->setEnabled(true); -outputVariable1->setName("outputFx"); -outputVariable1->setRange(-1.000, 1.000); -outputVariable1->fuzzyOutput()->setAccumulation(fl::null); -outputVariable1->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable1->setDefaultValue(fl::nan); -outputVariable1->setLockPreviousOutputValue(true); -outputVariable1->setLockOutputValueInRange(false); -outputVariable1->addTerm(new Constant("f1", 0.840)); -outputVariable1->addTerm(new Constant("f2", 0.450)); -outputVariable1->addTerm(new Constant("f3", 0.040)); -outputVariable1->addTerm(new Constant("f4", -0.180)); -outputVariable1->addTerm(new Constant("f5", -0.190)); -outputVariable1->addTerm(new Constant("f6", -0.040)); -outputVariable1->addTerm(new Constant("f7", 0.090)); -outputVariable1->addTerm(new Constant("f8", 0.120)); -outputVariable1->addTerm(new Constant("f9", 0.040)); -engine->addOutputVariable(outputVariable1); +OutputVariable* outputFx = new OutputVariable; +outputFx->setName("outputFx"); +outputFx->setDescription(""); +outputFx->setEnabled(true); +outputFx->setRange(-1.000, 1.000); +outputFx->setLockValueInRange(false); +outputFx->setAggregation(fl::null); +outputFx->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputFx->setDefaultValue(fl::nan); +outputFx->setLockPreviousValue(true); +outputFx->addTerm(new Constant("f1", 0.840)); +outputFx->addTerm(new Constant("f2", 0.450)); +outputFx->addTerm(new Constant("f3", 0.040)); +outputFx->addTerm(new Constant("f4", -0.180)); +outputFx->addTerm(new Constant("f5", -0.190)); +outputFx->addTerm(new Constant("f6", -0.040)); +outputFx->addTerm(new Constant("f7", 0.090)); +outputFx->addTerm(new Constant("f8", 0.120)); +outputFx->addTerm(new Constant("f9", 0.040)); +engine->addOutputVariable(outputFx); -OutputVariable* outputVariable2 = new OutputVariable; -outputVariable2->setEnabled(true); -outputVariable2->setName("trueFx"); -outputVariable2->setRange(-1.000, 1.000); -outputVariable2->fuzzyOutput()->setAccumulation(fl::null); -outputVariable2->setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable2->setDefaultValue(fl::nan); -outputVariable2->setLockPreviousOutputValue(true); -outputVariable2->setLockOutputValueInRange(false); -outputVariable2->addTerm(Function::create("fx", "sin(inputX)/inputX", engine)); -engine->addOutputVariable(outputVariable2); +OutputVariable* trueFx = new OutputVariable; +trueFx->setName("trueFx"); +trueFx->setDescription(""); +trueFx->setEnabled(true); +trueFx->setRange(-1.000, 1.000); +trueFx->setLockValueInRange(false); +trueFx->setAggregation(fl::null); +trueFx->setDefuzzifier(new WeightedAverage("Automatic")); +trueFx->setDefaultValue(fl::nan); +trueFx->setLockPreviousValue(true); +trueFx->addTerm(Function::create("fx", "sin(inputX)/inputX", engine)); +engine->addOutputVariable(trueFx); -OutputVariable* outputVariable3 = new OutputVariable; -outputVariable3->setEnabled(true); -outputVariable3->setName("diffFx"); -outputVariable3->setRange(-1.000, 1.000); -outputVariable3->fuzzyOutput()->setAccumulation(fl::null); -outputVariable3->setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable3->setDefaultValue(fl::nan); -outputVariable3->setLockPreviousOutputValue(false); -outputVariable3->setLockOutputValueInRange(false); -outputVariable3->addTerm(Function::create("diff", "fabs(outputFx-trueFx)", engine)); -engine->addOutputVariable(outputVariable3); +OutputVariable* diffFx = new OutputVariable; +diffFx->setName("diffFx"); +diffFx->setDescription(""); +diffFx->setEnabled(true); +diffFx->setRange(-1.000, 1.000); +diffFx->setLockValueInRange(false); +diffFx->setAggregation(fl::null); +diffFx->setDefuzzifier(new WeightedAverage("Automatic")); +diffFx->setDefaultValue(fl::nan); +diffFx->setLockPreviousValue(false); +diffFx->addTerm(Function::create("diff", "fabs(outputFx-trueFx)", engine)); +engine->addOutputVariable(diffFx); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(fl::null); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_1 then outputFx is f1", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_2 then outputFx is f2", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_3 then outputFx is f3", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_4 then outputFx is f4", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_5 then outputFx is f5", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_6 then outputFx is f6", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_7 then outputFx is f7", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_8 then outputFx is f8", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_9 then outputFx is f9", engine)); -ruleBlock->addRule(fl::Rule::parse("if inputX is any then trueFx is fx and diffFx is diff", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_1 then outputFx is f1", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_2 then outputFx is f2", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_3 then outputFx is f3", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_4 then outputFx is f4", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_5 then outputFx is f5", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_6 then outputFx is f6", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_7 then outputFx is f7", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_8 then outputFx is f8", engine)); +ruleBlock->addRule(Rule::parse("if inputX is NEAR_9 then outputFx is f9", engine)); +ruleBlock->addRule(Rule::parse("if inputX is any then trueFx is fx and diffFx is diff", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/takagi-sugeno/approximation.fcl b/examples/takagi-sugeno/approximation.fcl index 8b5f121..6bf285d 100644 --- a/examples/takagi-sugeno/approximation.fcl +++ b/examples/takagi-sugeno/approximation.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK approximation of sin(x)/x +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK approximation VAR_INPUT inputX: REAL; diff --git a/examples/takagi-sugeno/approximation.fis b/examples/takagi-sugeno/approximation.fis index 73075bc..2fcbc8d 100644 --- a/examples/takagi-sugeno/approximation.fis +++ b/examples/takagi-sugeno/approximation.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='approximation of sin(x)/x' +Name='approximation' Type='sugeno' +Version=6.0 NumInputs=1 NumOutputs=3 NumRules=10 -AndMethod='' -OrMethod='' -ImpMethod='' -AggMethod='' +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] @@ -27,7 +30,6 @@ MF9='NEAR_9':'trimf',[8.000 9.000 10.000] [Output1] Name='outputFx' Range=[-1.000 1.000] -LockPrevious=1 NumMFs=9 MF1='f1':'constant',[0.840] MF2='f2':'constant',[0.450] @@ -42,7 +44,6 @@ MF9='f9':'constant',[0.040] [Output2] Name='trueFx' Range=[-1.000 1.000] -LockPrevious=1 NumMFs=1 MF1='fx':'function',[sin(inputX)/inputX] diff --git a/examples/takagi-sugeno/approximation.fld b/examples/takagi-sugeno/approximation.fld index 36bdbd8..1f3ba00 100644 --- a/examples/takagi-sugeno/approximation.fld +++ b/examples/takagi-sugeno/approximation.fld @@ -1,1026 +1,1025 @@ -#@Engine: approximation of sin(x)/x; -#@InputVariable: inputX; @OutputVariable: outputFx; @OutputVariable: trueFx; @OutputVariable: diffFx; -0.00000000 nan nan nan -0.00977517 0.84000000 0.99998407 0.15998407 -0.01955034 0.84000000 0.99993630 0.15993630 -0.02932551 0.84000000 0.99985668 0.15985668 -0.03910068 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-0.053631744 0.093631744 +10.000000000 0.040000000 -0.054402111 0.094402111 diff --git a/examples/takagi-sugeno/approximation.fll b/examples/takagi-sugeno/approximation.fll index 1d166c9..4461299 100644 --- a/examples/takagi-sugeno/approximation.fll +++ b/examples/takagi-sugeno/approximation.fll @@ -1,7 +1,8 @@ -Engine: approximation of sin(x)/x +Engine: approximation InputVariable: inputX enabled: true range: 0.000 10.000 + lock-range: false term: NEAR_1 Triangle 0.000 1.000 2.000 term: NEAR_2 Triangle 1.000 2.000 3.000 term: NEAR_3 Triangle 2.000 3.000 4.000 @@ -14,11 +15,11 @@ InputVariable: inputX OutputVariable: outputFx enabled: true range: -1.000 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: true - lock-range: false term: f1 Constant 0.840 term: f2 Constant 0.450 term: f3 Constant 0.040 @@ -31,26 +32,27 @@ OutputVariable: outputFx OutputVariable: trueFx enabled: true range: -1.000 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage Automatic default: nan lock-previous: true - lock-range: false term: fx Function sin(inputX)/inputX OutputVariable: diffFx enabled: true range: -1.000 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage Automatic default: nan lock-previous: false - lock-range: false term: diff Function fabs(outputFx-trueFx) RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if inputX is NEAR_1 then outputFx is f1 rule: if inputX is NEAR_2 then outputFx is f2 rule: if inputX is NEAR_3 then outputFx is f3 diff --git a/examples/takagi-sugeno/approximation.java b/examples/takagi-sugeno/approximation.java index c3d98e1..c2f9d00 100644 --- a/examples/takagi-sugeno/approximation.java +++ b/examples/takagi-sugeno/approximation.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,74 +13,84 @@ import com.fuzzylite.variable.*; public class approximation{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("approximation of sin(x)/x"); +engine.setName("approximation"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("inputX"); -inputVariable.setRange(0.000, 10.000); -inputVariable.addTerm(new Triangle("NEAR_1", 0.000, 1.000, 2.000)); -inputVariable.addTerm(new Triangle("NEAR_2", 1.000, 2.000, 3.000)); -inputVariable.addTerm(new Triangle("NEAR_3", 2.000, 3.000, 4.000)); -inputVariable.addTerm(new Triangle("NEAR_4", 3.000, 4.000, 5.000)); -inputVariable.addTerm(new Triangle("NEAR_5", 4.000, 5.000, 6.000)); -inputVariable.addTerm(new Triangle("NEAR_6", 5.000, 6.000, 7.000)); -inputVariable.addTerm(new Triangle("NEAR_7", 6.000, 7.000, 8.000)); -inputVariable.addTerm(new Triangle("NEAR_8", 7.000, 8.000, 9.000)); -inputVariable.addTerm(new Triangle("NEAR_9", 8.000, 9.000, 10.000)); -engine.addInputVariable(inputVariable); +InputVariable inputX = new InputVariable(); +inputX.setName("inputX"); +inputX.setDescription(""); +inputX.setEnabled(true); +inputX.setRange(0.000, 10.000); +inputX.setLockValueInRange(false); +inputX.addTerm(new Triangle("NEAR_1", 0.000, 1.000, 2.000)); +inputX.addTerm(new Triangle("NEAR_2", 1.000, 2.000, 3.000)); +inputX.addTerm(new Triangle("NEAR_3", 2.000, 3.000, 4.000)); +inputX.addTerm(new Triangle("NEAR_4", 3.000, 4.000, 5.000)); +inputX.addTerm(new Triangle("NEAR_5", 4.000, 5.000, 6.000)); +inputX.addTerm(new Triangle("NEAR_6", 5.000, 6.000, 7.000)); +inputX.addTerm(new Triangle("NEAR_7", 6.000, 7.000, 8.000)); +inputX.addTerm(new Triangle("NEAR_8", 7.000, 8.000, 9.000)); +inputX.addTerm(new Triangle("NEAR_9", 8.000, 9.000, 10.000)); +engine.addInputVariable(inputX); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("outputFx"); -outputVariable1.setRange(-1.000, 1.000); -outputVariable1.fuzzyOutput().setAccumulation(null); -outputVariable1.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(true); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(new Constant("f1", 0.840)); -outputVariable1.addTerm(new Constant("f2", 0.450)); -outputVariable1.addTerm(new Constant("f3", 0.040)); -outputVariable1.addTerm(new Constant("f4", -0.180)); -outputVariable1.addTerm(new Constant("f5", -0.190)); -outputVariable1.addTerm(new Constant("f6", -0.040)); -outputVariable1.addTerm(new Constant("f7", 0.090)); -outputVariable1.addTerm(new Constant("f8", 0.120)); -outputVariable1.addTerm(new Constant("f9", 0.040)); -engine.addOutputVariable(outputVariable1); +OutputVariable outputFx = new OutputVariable(); +outputFx.setName("outputFx"); +outputFx.setDescription(""); +outputFx.setEnabled(true); +outputFx.setRange(-1.000, 1.000); +outputFx.setLockValueInRange(false); +outputFx.setAggregation(null); +outputFx.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputFx.setDefaultValue(Double.NaN); +outputFx.setLockPreviousValue(true); +outputFx.addTerm(new Constant("f1", 0.840)); +outputFx.addTerm(new Constant("f2", 0.450)); +outputFx.addTerm(new Constant("f3", 0.040)); +outputFx.addTerm(new Constant("f4", -0.180)); +outputFx.addTerm(new Constant("f5", -0.190)); +outputFx.addTerm(new Constant("f6", -0.040)); +outputFx.addTerm(new Constant("f7", 0.090)); +outputFx.addTerm(new Constant("f8", 0.120)); +outputFx.addTerm(new Constant("f9", 0.040)); +engine.addOutputVariable(outputFx); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("trueFx"); -outputVariable2.setRange(-1.000, 1.000); -outputVariable2.fuzzyOutput().setAccumulation(null); -outputVariable2.setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(true); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(Function.create("fx", "sin(inputX)/inputX", engine)); -engine.addOutputVariable(outputVariable2); +OutputVariable trueFx = new OutputVariable(); +trueFx.setName("trueFx"); +trueFx.setDescription(""); +trueFx.setEnabled(true); +trueFx.setRange(-1.000, 1.000); +trueFx.setLockValueInRange(false); +trueFx.setAggregation(null); +trueFx.setDefuzzifier(new WeightedAverage("Automatic")); +trueFx.setDefaultValue(Double.NaN); +trueFx.setLockPreviousValue(true); +trueFx.addTerm(Function.create("fx", "sin(inputX)/inputX", engine)); +engine.addOutputVariable(trueFx); -OutputVariable outputVariable3 = new OutputVariable(); -outputVariable3.setEnabled(true); -outputVariable3.setName("diffFx"); -outputVariable3.setRange(-1.000, 1.000); -outputVariable3.fuzzyOutput().setAccumulation(null); -outputVariable3.setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable3.setDefaultValue(Double.NaN); -outputVariable3.setLockPreviousOutputValue(false); -outputVariable3.setLockOutputValueInRange(false); -outputVariable3.addTerm(Function.create("diff", "fabs(outputFx-trueFx)", engine)); -engine.addOutputVariable(outputVariable3); +OutputVariable diffFx = new OutputVariable(); +diffFx.setName("diffFx"); +diffFx.setDescription(""); +diffFx.setEnabled(true); +diffFx.setRange(-1.000, 1.000); +diffFx.setLockValueInRange(false); +diffFx.setAggregation(null); +diffFx.setDefuzzifier(new WeightedAverage("Automatic")); +diffFx.setDefaultValue(Double.NaN); +diffFx.setLockPreviousValue(false); +diffFx.addTerm(Function.create("diff", "fabs(outputFx-trueFx)", engine)); +engine.addOutputVariable(diffFx); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(null); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if inputX is NEAR_1 then outputFx is f1", engine)); ruleBlock.addRule(Rule.parse("if inputX is NEAR_2 then outputFx is f2", engine)); ruleBlock.addRule(Rule.parse("if inputX is NEAR_3 then outputFx is f3", engine)); diff --git a/examples/takagi-sugeno/approximation.pdf b/examples/takagi-sugeno/approximation.pdf Binary files differnew file mode 100644 index 0000000..6af8fef --- /dev/null +++ b/examples/takagi-sugeno/approximation.pdf diff --git a/examples/takagi-sugeno/octave/cubic_approximator.R b/examples/takagi-sugeno/octave/cubic_approximator.R new file mode 100644 index 0000000..d3d3fbf --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.R @@ -0,0 +1,84 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "cubic_approximator" +engine.fll = "Engine: cubic_approximator +InputVariable: X + enabled: true + range: -5.000 5.000 + lock-range: false + term: AboutNegFive Triangle -6.000 -5.000 -4.000 + term: AboutNegFour Triangle -5.000 -4.000 -3.000 + term: AboutNegThree Triangle -4.000 -3.000 -2.000 + term: AboutNegTwo Triangle -3.000 -2.000 -1.000 + term: AboutNegOne Triangle -2.000 -1.000 0.000 + term: AboutZero Triangle -1.000 0.000 1.000 + term: AboutOne Triangle 0.000 1.000 2.000 + term: AboutTwo Triangle 1.000 2.000 3.000 + term: AboutThree Triangle 2.000 3.000 4.000 + term: AboutFour Triangle 3.000 4.000 5.000 + term: AboutFive Triangle 4.000 5.000 6.000 +OutputVariable: ApproxXCubed + enabled: true + range: -5.000 5.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: TangentatNegFive Linear 75.000 250.000 + term: TangentatNegFour Linear 48.000 128.000 + term: TangentatNegThree Linear 27.000 54.000 + term: TangentatNegTwo Linear 12.000 16.000 + term: TangentatNegOne Linear 3.000 2.000 + term: TangentatZero Linear 0.000 0.000 + term: TangentatOne Linear 3.000 -2.000 + term: TangentatTwo Linear 12.000 -16.000 + term: TangentatThree Linear 27.000 -54.000 + term: TangentatFour Linear 48.000 -128.000 + term: TangentatFive Linear 75.000 -250.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if X is AboutNegFive then ApproxXCubed is TangentatNegFive + rule: if X is AboutNegFour then ApproxXCubed is TangentatNegFour + rule: if X is AboutNegThree then ApproxXCubed is TangentatNegThree + rule: if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo + rule: if X is AboutNegOne then ApproxXCubed is TangentatNegOne + rule: if X is AboutZero then ApproxXCubed is TangentatZero + rule: if X is AboutOne then ApproxXCubed is TangentatOne + rule: if X is AboutTwo then ApproxXCubed is TangentatTwo + rule: if X is AboutThree then ApproxXCubed is TangentatThree + rule: if X is AboutFour then ApproxXCubed is TangentatFour + rule: if X is AboutFive then ApproxXCubed is TangentatFive" + +engine.fldFile = "cubic_approximator.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(X, ApproxXCubed)) + + geom_line(aes(color=ApproxXCubed), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("X vs ApproxXCubed") + +engine.plot.o1_i1 = ggplot(engine.df, aes(X, ApproxXCubed)) + + geom_line(aes(color=ApproxXCubed), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("ApproxXCubed vs X") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/octave/cubic_approximator.cpp b/examples/takagi-sugeno/octave/cubic_approximator.cpp index 6941fa5..2b9df3f 100644 --- a/examples/takagi-sugeno/octave/cubic_approximator.cpp +++ b/examples/takagi-sugeno/octave/cubic_approximator.cpp @@ -1,67 +1,75 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("Cubic-Approximator"); +engine->setName("cubic_approximator"); +engine->setDescription(""); -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("X"); -inputVariable->setRange(-5.000, 5.000); -inputVariable->addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000)); -inputVariable->addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000)); -inputVariable->addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000)); -inputVariable->addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000)); -inputVariable->addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000)); -inputVariable->addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000)); -inputVariable->addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000)); -inputVariable->addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000)); -inputVariable->addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000)); -inputVariable->addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000)); -inputVariable->addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000)); -engine->addInputVariable(inputVariable); +InputVariable* X = new InputVariable; +X->setName("X"); +X->setDescription(""); +X->setEnabled(true); +X->setRange(-5.000, 5.000); +X->setLockValueInRange(false); +X->addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000)); +X->addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000)); +X->addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000)); +X->addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000)); +X->addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000)); +X->addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000)); +X->addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000)); +X->addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000)); +X->addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000)); +X->addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000)); +X->addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000)); +engine->addInputVariable(X); -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("ApproxXCubed"); -outputVariable->setRange(-5.000, 5.000); -outputVariable->fuzzyOutput()->setAccumulation(fl::null); -outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(Linear::create("TangentatNegFive", engine, 75.000, 250.000)); -outputVariable->addTerm(Linear::create("TangentatNegFour", engine, 48.000, 128.000)); -outputVariable->addTerm(Linear::create("TangentatNegThree", engine, 27.000, 54.000)); -outputVariable->addTerm(Linear::create("TangentatNegTwo", engine, 12.000, 16.000)); -outputVariable->addTerm(Linear::create("TangentatNegOne", engine, 3.000, 2.000)); -outputVariable->addTerm(Linear::create("TangentatZero", engine, 0.000, 0.000)); -outputVariable->addTerm(Linear::create("TangentatOne", engine, 3.000, -2.000)); -outputVariable->addTerm(Linear::create("TangentatTwo", engine, 12.000, -16.000)); -outputVariable->addTerm(Linear::create("TangentatThree", engine, 27.000, -54.000)); -outputVariable->addTerm(Linear::create("TangentatFour", engine, 48.000, -128.000)); -outputVariable->addTerm(Linear::create("TangentatFive", engine, 75.000, -250.000)); -engine->addOutputVariable(outputVariable); +OutputVariable* ApproxXCubed = new OutputVariable; +ApproxXCubed->setName("ApproxXCubed"); +ApproxXCubed->setDescription(""); +ApproxXCubed->setEnabled(true); +ApproxXCubed->setRange(-5.000, 5.000); +ApproxXCubed->setLockValueInRange(false); +ApproxXCubed->setAggregation(fl::null); +ApproxXCubed->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +ApproxXCubed->setDefaultValue(fl::nan); +ApproxXCubed->setLockPreviousValue(false); +ApproxXCubed->addTerm(Linear::create("TangentatNegFive", engine, 75.000, 250.000)); +ApproxXCubed->addTerm(Linear::create("TangentatNegFour", engine, 48.000, 128.000)); +ApproxXCubed->addTerm(Linear::create("TangentatNegThree", engine, 27.000, 54.000)); +ApproxXCubed->addTerm(Linear::create("TangentatNegTwo", engine, 12.000, 16.000)); +ApproxXCubed->addTerm(Linear::create("TangentatNegOne", engine, 3.000, 2.000)); +ApproxXCubed->addTerm(Linear::create("TangentatZero", engine, 0.000, 0.000)); +ApproxXCubed->addTerm(Linear::create("TangentatOne", engine, 3.000, -2.000)); +ApproxXCubed->addTerm(Linear::create("TangentatTwo", engine, 12.000, -16.000)); +ApproxXCubed->addTerm(Linear::create("TangentatThree", engine, 27.000, -54.000)); +ApproxXCubed->addTerm(Linear::create("TangentatFour", engine, 48.000, -128.000)); +ApproxXCubed->addTerm(Linear::create("TangentatFive", engine, 75.000, -250.000)); +engine->addOutputVariable(ApproxXCubed); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(fl::null); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if X is AboutNegFive then ApproxXCubed is TangentatNegFive", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutNegFour then ApproxXCubed is TangentatNegFour", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutNegThree then ApproxXCubed is TangentatNegThree", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutNegOne then ApproxXCubed is TangentatNegOne", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutZero then ApproxXCubed is TangentatZero", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutOne then ApproxXCubed is TangentatOne", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutTwo then ApproxXCubed is TangentatTwo", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutThree then ApproxXCubed is TangentatThree", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutFour then ApproxXCubed is TangentatFour", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is AboutFive then ApproxXCubed is TangentatFive", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if X is AboutNegFive then ApproxXCubed is TangentatNegFive", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutNegFour then ApproxXCubed is TangentatNegFour", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutNegThree then ApproxXCubed is TangentatNegThree", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutNegOne then ApproxXCubed is TangentatNegOne", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutZero then ApproxXCubed is TangentatZero", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutOne then ApproxXCubed is TangentatOne", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutTwo then ApproxXCubed is TangentatTwo", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutThree then ApproxXCubed is TangentatThree", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutFour then ApproxXCubed is TangentatFour", engine)); +ruleBlock->addRule(Rule::parse("if X is AboutFive then ApproxXCubed is TangentatFive", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fcl b/examples/takagi-sugeno/octave/cubic_approximator.fcl index db88e44..df4e8be 100644 --- a/examples/takagi-sugeno/octave/cubic_approximator.fcl +++ b/examples/takagi-sugeno/octave/cubic_approximator.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK Cubic-Approximator +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK cubic_approximator VAR_INPUT X: REAL; diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fis b/examples/takagi-sugeno/octave/cubic_approximator.fis index b69675b..e0af36f 100644 --- a/examples/takagi-sugeno/octave/cubic_approximator.fis +++ b/examples/takagi-sugeno/octave/cubic_approximator.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='Cubic-Approximator' +Name='cubic_approximator' Type='sugeno' +Version=6.0 NumInputs=1 NumOutputs=1 NumRules=11 -AndMethod='' -OrMethod='' -ImpMethod='' -AggMethod='' +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fld b/examples/takagi-sugeno/octave/cubic_approximator.fld index e13c169..4f6ddeb 100644 --- a/examples/takagi-sugeno/octave/cubic_approximator.fld +++ b/examples/takagi-sugeno/octave/cubic_approximator.fld @@ -1,1026 +1,1025 @@ -#@Engine: Cubic-Approximator; -#@InputVariable: X; @OutputVariable: ApproxXCubed; --5.00000000 -125.00000000 --4.99022483 -124.14236490 --4.98044966 -123.28988972 --4.97067449 -122.44257445 --4.96089932 -121.60041910 --4.95112414 -120.76342366 --4.94134897 -119.93158814 --4.93157380 -119.10491253 --4.92179863 -118.28339683 --4.91202346 -117.46704105 --4.90224829 -116.65584518 --4.89247312 -115.84980923 --4.88269795 -115.04893319 --4.87292278 -114.25321706 --4.86314761 -113.46266085 --4.85337243 -112.67726456 --4.84359726 -111.89702818 --4.83382209 -111.12195171 --4.82404692 -110.35203516 --4.81427175 -109.58727852 --4.80449658 -108.82768179 --4.79472141 -108.07324498 --4.78494624 -107.32396809 --4.77517107 -106.57985111 --4.76539589 -105.84089404 --4.75562072 -105.10709689 --4.74584555 -104.37845965 --4.73607038 -103.65498233 --4.72629521 -102.93666492 --4.71652004 -102.22350742 --4.70674487 -101.51550984 --4.69696970 -100.81267218 --4.68719453 -100.11499442 --4.67741935 -99.42247659 --4.66764418 -98.73511866 --4.65786901 -98.05292065 --4.64809384 -97.37588256 --4.63831867 -96.70400438 --4.62854350 -96.03728611 --4.61876833 -95.37572776 --4.60899316 -94.71932933 --4.59921799 -94.06809080 --4.58944282 -93.42201219 --4.57966764 -92.78109350 --4.56989247 -92.14533472 --4.56011730 -91.51473586 --4.55034213 -90.88929690 --4.54056696 -90.26901787 --4.53079179 -89.65389875 --4.52101662 -89.04393954 --4.51124145 -88.43914024 --4.50146628 -87.83950086 --4.49169110 -87.24502140 --4.48191593 -86.65570185 --4.47214076 -86.07154221 --4.46236559 -85.49254249 --4.45259042 -84.91870268 --4.44281525 -84.35002279 --4.43304008 -83.78650281 --4.42326491 -83.22814275 --4.41348974 -82.67494260 --4.40371457 -82.12690236 --4.39393939 -81.58402204 --4.38416422 -81.04630163 --4.37438905 -80.51374114 --4.36461388 -79.98634056 --4.35483871 -79.46409990 --4.34506354 -78.94701915 --4.33528837 -78.43509831 --4.32551320 -77.92833739 --4.31573803 -77.42673638 --4.30596285 -76.93029529 --4.29618768 -76.43901411 --4.28641251 -75.95289285 --4.27663734 -75.47193150 --4.26686217 -74.99613006 --4.25708700 -74.52548854 --4.24731183 -74.06000694 --4.23753666 -73.59968525 --4.22776149 -73.14452347 --4.21798631 -72.69452160 --4.20821114 -72.24967966 --4.19843597 -71.80999762 --4.18866080 -71.37547550 --4.17888563 -70.94611329 --4.16911046 -70.52191100 --4.15933529 -70.10286863 --4.14956012 -69.68898616 --4.13978495 -69.28026361 --4.13000978 -68.87670098 --4.12023460 -68.47829826 --4.11045943 -68.08505545 --4.10068426 -67.69697256 --4.09090909 -67.31404959 --4.08113392 -66.93628652 --4.07135875 -66.56368338 --4.06158358 -66.19624014 --4.05180841 -65.83395682 --4.04203324 -65.47683342 --4.03225806 -65.12486993 --4.02248289 -64.77806635 --4.01270772 -64.43642269 --4.00293255 -64.09993894 --3.99315738 -63.60411131 --3.98338221 -63.04196730 --3.97360704 -62.48383657 --3.96383187 -61.92971910 --3.95405670 -61.37961490 --3.94428152 -60.83352396 --3.93450635 -60.29144630 --3.92473118 -59.75338189 --3.91495601 -59.21933076 --3.90518084 -58.68929289 --3.89540567 -58.16326829 --3.88563050 -57.64125696 --3.87585533 -57.12325889 --3.86608016 -56.60927409 --3.85630499 -56.09930255 --3.84652981 -55.59334428 --3.83675464 -55.09139928 --3.82697947 -54.59346755 --3.81720430 -54.09954908 --3.80742913 -53.60964388 --3.79765396 -53.12375195 --3.78787879 -52.64187328 --3.77810362 -52.16400788 --3.76832845 -51.69015574 --3.75855327 -51.22031688 --3.74877810 -50.75449128 --3.73900293 -50.29267894 --3.72922776 -49.83487987 --3.71945259 -49.38109407 --3.70967742 -48.93132154 --3.69990225 -48.48556227 --3.69012708 -48.04381627 --3.68035191 -47.60608354 --3.67057674 -47.17236407 --3.66080156 -46.74265787 --3.65102639 -46.31696494 --3.64125122 -45.89528527 --3.63147605 -45.47761887 --3.62170088 -45.06396574 --3.61192571 -44.65432587 --3.60215054 -44.24869927 --3.59237537 -43.84708594 --3.58260020 -43.44948587 --3.57282502 -43.05589907 --3.56304985 -42.66632554 --3.55327468 -42.28076527 --3.54349951 -41.89921827 --3.53372434 -41.52168454 --3.52394917 -41.14816407 --3.51417400 -40.77865687 --3.50439883 -40.41316294 --3.49462366 -40.05168228 --3.48484848 -39.69421488 --3.47507331 -39.34076074 --3.46529814 -38.99131988 --3.45552297 -38.64589228 --3.44574780 -38.30447795 --3.43597263 -37.96707688 --3.42619746 -37.63368908 --3.41642229 -37.30431455 --3.40664712 -36.97895328 --3.39687195 -36.65760528 --3.38709677 -36.34027055 --3.37732160 -36.02694909 --3.36754643 -35.71764089 --3.35777126 -35.41234596 --3.34799609 -35.11106429 --3.33822092 -34.81379589 --3.32844575 -34.52054076 --3.31867058 -34.23129889 --3.30889541 -33.94607030 --3.29912023 -33.66485496 --3.28934506 -33.38765290 --3.27956989 -33.11446410 --3.26979472 -32.84528857 --3.26001955 -32.58012630 --3.25024438 -32.31897730 --3.24046921 -32.06184157 --3.23069404 -31.80871911 --3.22091887 -31.55960991 --3.21114370 -31.31451398 --3.20136852 -31.07343131 --3.19159335 -30.83636192 --3.18181818 -30.60330579 --3.17204301 -30.37426292 --3.16226784 -30.14923332 --3.15249267 -29.92821699 --3.14271750 -29.71121393 --3.13294233 -29.49822413 --3.12316716 -29.28924760 --3.11339198 -29.08428433 --3.10361681 -28.88333434 --3.09384164 -28.68639761 --3.08406647 -28.49347414 --3.07429130 -28.30456394 --3.06451613 -28.11966701 --3.05474096 -27.93878335 --3.04496579 -27.76191295 --3.03519062 -27.58905582 --3.02541544 -27.42021196 --3.01564027 -27.25538136 --3.00586510 -27.09456403 --2.99608993 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+4.931573803 119.104912525 +4.941348974 119.931588136 +4.951124145 120.763423661 +4.960899316 121.600419100 +4.970674487 122.442574453 +4.980449658 123.289889721 +4.990224829 124.142364903 +5.000000000 125.000000000 diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fll b/examples/takagi-sugeno/octave/cubic_approximator.fll index 073e70e..22b8fa6 100644 --- a/examples/takagi-sugeno/octave/cubic_approximator.fll +++ b/examples/takagi-sugeno/octave/cubic_approximator.fll @@ -1,7 +1,8 @@ -Engine: Cubic-Approximator +Engine: cubic_approximator InputVariable: X enabled: true range: -5.000 5.000 + lock-range: false term: AboutNegFive Triangle -6.000 -5.000 -4.000 term: AboutNegFour Triangle -5.000 -4.000 -3.000 term: AboutNegThree Triangle -4.000 -3.000 -2.000 @@ -16,11 +17,11 @@ InputVariable: X OutputVariable: ApproxXCubed enabled: true range: -5.000 5.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: TangentatNegFive Linear 75.000 250.000 term: TangentatNegFour Linear 48.000 128.000 term: TangentatNegThree Linear 27.000 54.000 @@ -36,7 +37,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if X is AboutNegFive then ApproxXCubed is TangentatNegFive rule: if X is AboutNegFour then ApproxXCubed is TangentatNegFour rule: if X is AboutNegThree then ApproxXCubed is TangentatNegThree diff --git a/examples/takagi-sugeno/octave/cubic_approximator.java b/examples/takagi-sugeno/octave/cubic_approximator.java index 1955a24..ed64870 100644 --- a/examples/takagi-sugeno/octave/cubic_approximator.java +++ b/examples/takagi-sugeno/octave/cubic_approximator.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,54 +13,62 @@ import com.fuzzylite.variable.*; public class cubic_approximator{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Cubic-Approximator"); +engine.setName("cubic_approximator"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("X"); -inputVariable.setRange(-5.000, 5.000); -inputVariable.addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000)); -inputVariable.addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000)); -inputVariable.addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000)); -inputVariable.addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000)); -inputVariable.addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000)); -inputVariable.addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000)); -inputVariable.addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000)); -inputVariable.addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000)); -inputVariable.addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000)); -inputVariable.addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000)); -inputVariable.addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000)); -engine.addInputVariable(inputVariable); +InputVariable X = new InputVariable(); +X.setName("X"); +X.setDescription(""); +X.setEnabled(true); +X.setRange(-5.000, 5.000); +X.setLockValueInRange(false); +X.addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000)); +X.addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000)); +X.addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000)); +X.addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000)); +X.addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000)); +X.addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000)); +X.addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000)); +X.addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000)); +X.addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000)); +X.addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000)); +X.addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000)); +engine.addInputVariable(X); -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("ApproxXCubed"); -outputVariable.setRange(-5.000, 5.000); -outputVariable.fuzzyOutput().setAccumulation(null); -outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(Linear.create("TangentatNegFive", engine, 75.000, 250.000)); -outputVariable.addTerm(Linear.create("TangentatNegFour", engine, 48.000, 128.000)); -outputVariable.addTerm(Linear.create("TangentatNegThree", engine, 27.000, 54.000)); -outputVariable.addTerm(Linear.create("TangentatNegTwo", engine, 12.000, 16.000)); -outputVariable.addTerm(Linear.create("TangentatNegOne", engine, 3.000, 2.000)); -outputVariable.addTerm(Linear.create("TangentatZero", engine, 0.000, 0.000)); -outputVariable.addTerm(Linear.create("TangentatOne", engine, 3.000, -2.000)); -outputVariable.addTerm(Linear.create("TangentatTwo", engine, 12.000, -16.000)); -outputVariable.addTerm(Linear.create("TangentatThree", engine, 27.000, -54.000)); -outputVariable.addTerm(Linear.create("TangentatFour", engine, 48.000, -128.000)); -outputVariable.addTerm(Linear.create("TangentatFive", engine, 75.000, -250.000)); -engine.addOutputVariable(outputVariable); +OutputVariable ApproxXCubed = new OutputVariable(); +ApproxXCubed.setName("ApproxXCubed"); +ApproxXCubed.setDescription(""); +ApproxXCubed.setEnabled(true); +ApproxXCubed.setRange(-5.000, 5.000); +ApproxXCubed.setLockValueInRange(false); +ApproxXCubed.setAggregation(null); +ApproxXCubed.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +ApproxXCubed.setDefaultValue(Double.NaN); +ApproxXCubed.setLockPreviousValue(false); +ApproxXCubed.addTerm(Linear.create("TangentatNegFive", engine, 75.000, 250.000)); +ApproxXCubed.addTerm(Linear.create("TangentatNegFour", engine, 48.000, 128.000)); +ApproxXCubed.addTerm(Linear.create("TangentatNegThree", engine, 27.000, 54.000)); +ApproxXCubed.addTerm(Linear.create("TangentatNegTwo", engine, 12.000, 16.000)); +ApproxXCubed.addTerm(Linear.create("TangentatNegOne", engine, 3.000, 2.000)); +ApproxXCubed.addTerm(Linear.create("TangentatZero", engine, 0.000, 0.000)); +ApproxXCubed.addTerm(Linear.create("TangentatOne", engine, 3.000, -2.000)); +ApproxXCubed.addTerm(Linear.create("TangentatTwo", engine, 12.000, -16.000)); +ApproxXCubed.addTerm(Linear.create("TangentatThree", engine, 27.000, -54.000)); +ApproxXCubed.addTerm(Linear.create("TangentatFour", engine, 48.000, -128.000)); +ApproxXCubed.addTerm(Linear.create("TangentatFive", engine, 75.000, -250.000)); +engine.addOutputVariable(ApproxXCubed); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(null); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if X is AboutNegFive then ApproxXCubed is TangentatNegFive", engine)); ruleBlock.addRule(Rule.parse("if X is AboutNegFour then ApproxXCubed is TangentatNegFour", engine)); ruleBlock.addRule(Rule.parse("if X is AboutNegThree then ApproxXCubed is TangentatNegThree", engine)); diff --git a/examples/takagi-sugeno/octave/cubic_approximator.pdf b/examples/takagi-sugeno/octave/cubic_approximator.pdf Binary files differnew file mode 100644 index 0000000..62d12ee --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.pdf diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.R b/examples/takagi-sugeno/octave/heart_disease_risk.R new file mode 100644 index 0000000..6ea4240 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.R @@ -0,0 +1,84 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "heart_disease_risk" +engine.fll = "Engine: heart_disease_risk +InputVariable: LDLLevel + enabled: true + range: 0.000 300.000 + lock-range: false + term: Low Trapezoid -1.000 0.000 90.000 110.000 + term: LowBorderline Trapezoid 90.000 110.000 120.000 140.000 + term: Borderline Trapezoid 120.000 140.000 150.000 170.000 + term: HighBorderline Trapezoid 150.000 170.000 180.000 200.000 + term: High Trapezoid 180.000 200.000 300.000 301.000 +InputVariable: HDLLevel + enabled: true + range: 0.000 100.000 + lock-range: false + term: LowHDL Trapezoid -1.000 0.000 35.000 45.000 + term: ModerateHDL Trapezoid 35.000 45.000 55.000 65.000 + term: HighHDL Trapezoid 55.000 65.000 100.000 101.000 +OutputVariable: HeartDiseaseRisk + enabled: true + range: 0.000 10.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: NoRisk Constant 0.000 + term: LowRisk Constant 2.500 + term: MediumRisk Constant 5.000 + term: HighRisk Constant 7.500 + term: ExtremeRisk Constant 10.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: none + implication: none + activation: General + rule: if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk + rule: if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk + rule: if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk" + +engine.fldFile = "heart_disease_risk.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(LDLLevel, HDLLevel)) + + geom_tile(aes(fill=HeartDiseaseRisk)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=LDLLevel, y=HDLLevel, z=HeartDiseaseRisk), color="black") + + ggtitle("(LDLLevel, HDLLevel) = HeartDiseaseRisk") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(HDLLevel, LDLLevel)) + + geom_tile(aes(fill=HeartDiseaseRisk)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=HDLLevel, y=LDLLevel, z=HeartDiseaseRisk), color="black") + + ggtitle("(HDLLevel, LDLLevel) = HeartDiseaseRisk") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.cpp b/examples/takagi-sugeno/octave/heart_disease_risk.cpp index 397b303..12e7f72 100644 --- a/examples/takagi-sugeno/octave/heart_disease_risk.cpp +++ b/examples/takagi-sugeno/octave/heart_disease_risk.cpp @@ -1,68 +1,78 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("Heart-Disease-Risk"); +engine->setName("heart_disease_risk"); +engine->setDescription(""); -InputVariable* inputVariable1 = new InputVariable; -inputVariable1->setEnabled(true); -inputVariable1->setName("LDLLevel"); -inputVariable1->setRange(0.000, 300.000); -inputVariable1->addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000)); -inputVariable1->addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000)); -inputVariable1->addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000)); -inputVariable1->addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000)); -inputVariable1->addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000)); -engine->addInputVariable(inputVariable1); +InputVariable* LDLLevel = new InputVariable; +LDLLevel->setName("LDLLevel"); +LDLLevel->setDescription(""); +LDLLevel->setEnabled(true); +LDLLevel->setRange(0.000, 300.000); +LDLLevel->setLockValueInRange(false); +LDLLevel->addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000)); +LDLLevel->addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000)); +LDLLevel->addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000)); +LDLLevel->addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000)); +LDLLevel->addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000)); +engine->addInputVariable(LDLLevel); -InputVariable* inputVariable2 = new InputVariable; -inputVariable2->setEnabled(true); -inputVariable2->setName("HDLLevel"); -inputVariable2->setRange(0.000, 100.000); -inputVariable2->addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000)); -inputVariable2->addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000)); -inputVariable2->addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000)); -engine->addInputVariable(inputVariable2); +InputVariable* HDLLevel = new InputVariable; +HDLLevel->setName("HDLLevel"); +HDLLevel->setDescription(""); +HDLLevel->setEnabled(true); +HDLLevel->setRange(0.000, 100.000); +HDLLevel->setLockValueInRange(false); +HDLLevel->addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000)); +HDLLevel->addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000)); +HDLLevel->addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000)); +engine->addInputVariable(HDLLevel); -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("HeartDiseaseRisk"); -outputVariable->setRange(0.000, 10.000); -outputVariable->fuzzyOutput()->setAccumulation(fl::null); -outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(new Constant("NoRisk", 0.000)); -outputVariable->addTerm(new Constant("LowRisk", 2.500)); -outputVariable->addTerm(new Constant("MediumRisk", 5.000)); -outputVariable->addTerm(new Constant("HighRisk", 7.500)); -outputVariable->addTerm(new Constant("ExtremeRisk", 10.000)); -engine->addOutputVariable(outputVariable); +OutputVariable* HeartDiseaseRisk = new OutputVariable; +HeartDiseaseRisk->setName("HeartDiseaseRisk"); +HeartDiseaseRisk->setDescription(""); +HeartDiseaseRisk->setEnabled(true); +HeartDiseaseRisk->setRange(0.000, 10.000); +HeartDiseaseRisk->setLockValueInRange(false); +HeartDiseaseRisk->setAggregation(fl::null); +HeartDiseaseRisk->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +HeartDiseaseRisk->setDefaultValue(fl::nan); +HeartDiseaseRisk->setLockPreviousValue(false); +HeartDiseaseRisk->addTerm(new Constant("NoRisk", 0.000)); +HeartDiseaseRisk->addTerm(new Constant("LowRisk", 2.500)); +HeartDiseaseRisk->addTerm(new Constant("MediumRisk", 5.000)); +HeartDiseaseRisk->addTerm(new Constant("HighRisk", 7.500)); +HeartDiseaseRisk->addTerm(new Constant("ExtremeRisk", 10.000)); +engine->addOutputVariable(HeartDiseaseRisk); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new Minimum); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); -ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(Rule::parse("if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fcl b/examples/takagi-sugeno/octave/heart_disease_risk.fcl index 9629a47..4e09d59 100644 --- a/examples/takagi-sugeno/octave/heart_disease_risk.fcl +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK Heart-Disease-Risk +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK heart_disease_risk VAR_INPUT LDLLevel: REAL; diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fis b/examples/takagi-sugeno/octave/heart_disease_risk.fis index 11686f1..485d8d9 100644 --- a/examples/takagi-sugeno/octave/heart_disease_risk.fis +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='Heart-Disease-Risk' +Name='heart_disease_risk' Type='sugeno' +Version=6.0 NumInputs=2 NumOutputs=1 NumRules=15 AndMethod='min' -OrMethod='' -ImpMethod='' -AggMethod='' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fld b/examples/takagi-sugeno/octave/heart_disease_risk.fld index afc1fe0..7b9a00e 100644 --- a/examples/takagi-sugeno/octave/heart_disease_risk.fld +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fld @@ -1,1026 +1,1025 @@ -#@Engine: Heart-Disease-Risk; -#@InputVariable: LDLLevel; @InputVariable: HDLLevel; @OutputVariable: HeartDiseaseRisk; -0.00000000 0.00000000 5.00000000 -0.00000000 3.22580645 5.00000000 -0.00000000 6.45161290 5.00000000 -0.00000000 9.67741935 5.00000000 -0.00000000 12.90322581 5.00000000 -0.00000000 16.12903226 5.00000000 -0.00000000 19.35483871 5.00000000 -0.00000000 22.58064516 5.00000000 -0.00000000 25.80645161 5.00000000 -0.00000000 29.03225806 5.00000000 -0.00000000 32.25806452 5.00000000 -0.00000000 35.48387097 4.87903226 -0.00000000 38.70967742 4.07258065 -0.00000000 41.93548387 3.26612903 -0.00000000 45.16129032 2.50000000 -0.00000000 48.38709677 2.50000000 -0.00000000 51.61290323 2.50000000 -0.00000000 54.83870968 2.50000000 -0.00000000 58.06451613 1.73387097 -0.00000000 61.29032258 0.92741935 -0.00000000 64.51612903 0.12096774 -0.00000000 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-19.35483871 45.16129032 2.50000000 -19.35483871 48.38709677 2.50000000 -19.35483871 51.61290323 2.50000000 -19.35483871 54.83870968 2.50000000 -19.35483871 58.06451613 1.73387097 -19.35483871 61.29032258 0.92741935 -19.35483871 64.51612903 0.12096774 -19.35483871 67.74193548 0.00000000 -19.35483871 70.96774194 0.00000000 -19.35483871 74.19354839 0.00000000 -19.35483871 77.41935484 0.00000000 -19.35483871 80.64516129 0.00000000 -19.35483871 83.87096774 0.00000000 -19.35483871 87.09677419 0.00000000 -19.35483871 90.32258065 0.00000000 -19.35483871 93.54838710 0.00000000 -19.35483871 96.77419355 0.00000000 -19.35483871 100.00000000 0.00000000 -29.03225806 0.00000000 5.00000000 -29.03225806 3.22580645 5.00000000 -29.03225806 6.45161290 5.00000000 -29.03225806 9.67741935 5.00000000 -29.03225806 12.90322581 5.00000000 -29.03225806 16.12903226 5.00000000 -29.03225806 19.35483871 5.00000000 -29.03225806 22.58064516 5.00000000 -29.03225806 25.80645161 5.00000000 -29.03225806 29.03225806 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45.161290323 7.500000000 +300.000000000 48.387096774 7.500000000 +300.000000000 51.612903226 7.500000000 +300.000000000 54.838709677 7.500000000 +300.000000000 58.064516129 6.733870968 +300.000000000 61.290322581 5.927419355 +300.000000000 64.516129032 5.120967742 +300.000000000 67.741935484 5.000000000 +300.000000000 70.967741935 5.000000000 +300.000000000 74.193548387 5.000000000 +300.000000000 77.419354839 5.000000000 +300.000000000 80.645161290 5.000000000 +300.000000000 83.870967742 5.000000000 +300.000000000 87.096774194 5.000000000 +300.000000000 90.322580645 5.000000000 +300.000000000 93.548387097 5.000000000 +300.000000000 96.774193548 5.000000000 +300.000000000 100.000000000 5.000000000 diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fll b/examples/takagi-sugeno/octave/heart_disease_risk.fll index 5bc3207..4ab822f 100644 --- a/examples/takagi-sugeno/octave/heart_disease_risk.fll +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fll @@ -1,7 +1,8 @@ -Engine: Heart-Disease-Risk +Engine: heart_disease_risk InputVariable: LDLLevel enabled: true range: 0.000 300.000 + lock-range: false term: Low Trapezoid -1.000 0.000 90.000 110.000 term: LowBorderline Trapezoid 90.000 110.000 120.000 140.000 term: Borderline Trapezoid 120.000 140.000 150.000 170.000 @@ -10,17 +11,18 @@ InputVariable: LDLLevel InputVariable: HDLLevel enabled: true range: 0.000 100.000 + lock-range: false term: LowHDL Trapezoid -1.000 0.000 35.000 45.000 term: ModerateHDL Trapezoid 35.000 45.000 55.000 65.000 term: HighHDL Trapezoid 55.000 65.000 100.000 101.000 OutputVariable: HeartDiseaseRisk enabled: true range: 0.000 10.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: NoRisk Constant 0.000 term: LowRisk Constant 2.500 term: MediumRisk Constant 5.000 @@ -30,7 +32,8 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: none - activation: none + implication: none + activation: General rule: if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk rule: if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk rule: if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.java b/examples/takagi-sugeno/octave/heart_disease_risk.java index fcd67c9..febd1c7 100644 --- a/examples/takagi-sugeno/octave/heart_disease_risk.java +++ b/examples/takagi-sugeno/octave/heart_disease_risk.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,51 +13,61 @@ import com.fuzzylite.variable.*; public class heart_disease_risk{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Heart-Disease-Risk"); +engine.setName("heart_disease_risk"); +engine.setDescription(""); -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("LDLLevel"); -inputVariable1.setRange(0.000, 300.000); -inputVariable1.addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000)); -inputVariable1.addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000)); -inputVariable1.addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000)); -inputVariable1.addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000)); -inputVariable1.addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000)); -engine.addInputVariable(inputVariable1); +InputVariable LDLLevel = new InputVariable(); +LDLLevel.setName("LDLLevel"); +LDLLevel.setDescription(""); +LDLLevel.setEnabled(true); +LDLLevel.setRange(0.000, 300.000); +LDLLevel.setLockValueInRange(false); +LDLLevel.addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000)); +LDLLevel.addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000)); +LDLLevel.addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000)); +LDLLevel.addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000)); +LDLLevel.addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000)); +engine.addInputVariable(LDLLevel); -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("HDLLevel"); -inputVariable2.setRange(0.000, 100.000); -inputVariable2.addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000)); -inputVariable2.addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000)); -inputVariable2.addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000)); -engine.addInputVariable(inputVariable2); +InputVariable HDLLevel = new InputVariable(); +HDLLevel.setName("HDLLevel"); +HDLLevel.setDescription(""); +HDLLevel.setEnabled(true); +HDLLevel.setRange(0.000, 100.000); +HDLLevel.setLockValueInRange(false); +HDLLevel.addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000)); +HDLLevel.addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000)); +HDLLevel.addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000)); +engine.addInputVariable(HDLLevel); -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("HeartDiseaseRisk"); -outputVariable.setRange(0.000, 10.000); -outputVariable.fuzzyOutput().setAccumulation(null); -outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Constant("NoRisk", 0.000)); -outputVariable.addTerm(new Constant("LowRisk", 2.500)); -outputVariable.addTerm(new Constant("MediumRisk", 5.000)); -outputVariable.addTerm(new Constant("HighRisk", 7.500)); -outputVariable.addTerm(new Constant("ExtremeRisk", 10.000)); -engine.addOutputVariable(outputVariable); +OutputVariable HeartDiseaseRisk = new OutputVariable(); +HeartDiseaseRisk.setName("HeartDiseaseRisk"); +HeartDiseaseRisk.setDescription(""); +HeartDiseaseRisk.setEnabled(true); +HeartDiseaseRisk.setRange(0.000, 10.000); +HeartDiseaseRisk.setLockValueInRange(false); +HeartDiseaseRisk.setAggregation(null); +HeartDiseaseRisk.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +HeartDiseaseRisk.setDefaultValue(Double.NaN); +HeartDiseaseRisk.setLockPreviousValue(false); +HeartDiseaseRisk.addTerm(new Constant("NoRisk", 0.000)); +HeartDiseaseRisk.addTerm(new Constant("LowRisk", 2.500)); +HeartDiseaseRisk.addTerm(new Constant("MediumRisk", 5.000)); +HeartDiseaseRisk.addTerm(new Constant("HighRisk", 7.500)); +HeartDiseaseRisk.addTerm(new Constant("ExtremeRisk", 10.000)); +engine.addOutputVariable(HeartDiseaseRisk); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new Minimum()); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); ruleBlock.addRule(Rule.parse("if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); ruleBlock.addRule(Rule.parse("if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk", engine)); diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.pdf b/examples/takagi-sugeno/octave/heart_disease_risk.pdf Binary files differnew file mode 100644 index 0000000..e712d54 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.pdf diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.R b/examples/takagi-sugeno/octave/linear_tip_calculator.R new file mode 100644 index 0000000..e6a7058 --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.R @@ -0,0 +1,67 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "linear_tip_calculator" +engine.fll = "Engine: linear_tip_calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + lock-range: false + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + lock-range: false + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: Tip + enabled: true + range: 10.000 20.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: TenPercent Linear 0.000 0.000 10.000 + term: FifteenPercent Linear 0.000 0.000 15.000 + term: TwentyPercent Linear 0.000 0.000 20.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: none + implication: none + activation: General + rule: if FoodQuality is Bad and Service is Bad then Tip is TenPercent + rule: if FoodQuality is Bad and Service is Good then Tip is FifteenPercent + rule: if FoodQuality is Good and Service is Bad then Tip is FifteenPercent + rule: if FoodQuality is Good and Service is Good then Tip is TwentyPercent" + +engine.fldFile = "linear_tip_calculator.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(FoodQuality, Service)) + + geom_tile(aes(fill=Tip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=FoodQuality, y=Service, z=Tip), color="black") + + ggtitle("(FoodQuality, Service) = Tip") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(Service, FoodQuality)) + + geom_tile(aes(fill=Tip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Service, y=FoodQuality, z=Tip), color="black") + + ggtitle("(Service, FoodQuality) = Tip") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.cpp b/examples/takagi-sugeno/octave/linear_tip_calculator.cpp index 6982766..f0d4a43 100644 --- a/examples/takagi-sugeno/octave/linear_tip_calculator.cpp +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.cpp @@ -1,51 +1,61 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("Linear-Tip-Calculator"); - -InputVariable* inputVariable1 = new InputVariable; -inputVariable1->setEnabled(true); -inputVariable1->setName("FoodQuality"); -inputVariable1->setRange(1.000, 10.000); -inputVariable1->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine->addInputVariable(inputVariable1); - -InputVariable* inputVariable2 = new InputVariable; -inputVariable2->setEnabled(true); -inputVariable2->setName("Service"); -inputVariable2->setRange(1.000, 10.000); -inputVariable2->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine->addInputVariable(inputVariable2); - -OutputVariable* outputVariable = new OutputVariable; -outputVariable->setEnabled(true); -outputVariable->setName("Tip"); -outputVariable->setRange(10.000, 20.000); -outputVariable->fuzzyOutput()->setAccumulation(fl::null); -outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable->setDefaultValue(fl::nan); -outputVariable->setLockPreviousOutputValue(false); -outputVariable->setLockOutputValueInRange(false); -outputVariable->addTerm(Linear::create("TenPercent", engine, 0.000, 0.000, 10.000)); -outputVariable->addTerm(Linear::create("FifteenPercent", engine, 0.000, 0.000, 15.000)); -outputVariable->addTerm(Linear::create("TwentyPercent", engine, 0.000, 0.000, 20.000)); -engine->addOutputVariable(outputVariable); +engine->setName("linear_tip_calculator"); +engine->setDescription(""); + +InputVariable* FoodQuality = new InputVariable; +FoodQuality->setName("FoodQuality"); +FoodQuality->setDescription(""); +FoodQuality->setEnabled(true); +FoodQuality->setRange(1.000, 10.000); +FoodQuality->setLockValueInRange(false); +FoodQuality->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(FoodQuality); + +InputVariable* Service = new InputVariable; +Service->setName("Service"); +Service->setDescription(""); +Service->setEnabled(true); +Service->setRange(1.000, 10.000); +Service->setLockValueInRange(false); +Service->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(Service); + +OutputVariable* Tip = new OutputVariable; +Tip->setName("Tip"); +Tip->setDescription(""); +Tip->setEnabled(true); +Tip->setRange(10.000, 20.000); +Tip->setLockValueInRange(false); +Tip->setAggregation(fl::null); +Tip->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +Tip->setDefaultValue(fl::nan); +Tip->setLockPreviousValue(false); +Tip->addTerm(Linear::create("TenPercent", engine, 0.000, 0.000, 10.000)); +Tip->addTerm(Linear::create("FifteenPercent", engine, 0.000, 0.000, 15.000)); +Tip->addTerm(Linear::create("TwentyPercent", engine, 0.000, 0.000, 20.000)); +engine->addOutputVariable(Tip); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new Minimum); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is TenPercent", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Good then Tip is FifteenPercent", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Bad then Tip is FifteenPercent", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Good then Tip is TwentyPercent", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is TenPercent", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Good then Tip is FifteenPercent", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Bad then Tip is FifteenPercent", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Good then Tip is TwentyPercent", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fcl b/examples/takagi-sugeno/octave/linear_tip_calculator.fcl index d326b2e..9b28c0e 100644 --- a/examples/takagi-sugeno/octave/linear_tip_calculator.fcl +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK Linear-Tip-Calculator +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK linear_tip_calculator VAR_INPUT FoodQuality: REAL; diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fis b/examples/takagi-sugeno/octave/linear_tip_calculator.fis index 8df5a02..58b4016 100644 --- a/examples/takagi-sugeno/octave/linear_tip_calculator.fis +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='Linear-Tip-Calculator' +Name='linear_tip_calculator' Type='sugeno' +Version=6.0 NumInputs=2 NumOutputs=1 NumRules=4 AndMethod='min' -OrMethod='' -ImpMethod='' -AggMethod='' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fld b/examples/takagi-sugeno/octave/linear_tip_calculator.fld index 27f51b4..60f4542 100644 --- a/examples/takagi-sugeno/octave/linear_tip_calculator.fld +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fld @@ -1,1026 +1,1025 @@ -#@Engine: Linear-Tip-Calculator; -#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: Tip; -1.00000000 1.00000000 10.00000000 -1.00000000 1.29032258 10.00000000 -1.00000000 1.58064516 10.00000000 -1.00000000 1.87096774 10.00000000 -1.00000000 2.16129032 10.00000000 -1.00000000 2.45161290 10.00000000 -1.00000000 2.74193548 10.00000000 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20.000000000 +10.000000000 8.838709677 20.000000000 +10.000000000 9.129032258 20.000000000 +10.000000000 9.419354839 20.000000000 +10.000000000 9.709677419 20.000000000 +10.000000000 10.000000000 20.000000000 diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fll b/examples/takagi-sugeno/octave/linear_tip_calculator.fll index 8c1f597..510d8a4 100644 --- a/examples/takagi-sugeno/octave/linear_tip_calculator.fll +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fll @@ -1,22 +1,24 @@ -Engine: Linear-Tip-Calculator +Engine: linear_tip_calculator InputVariable: FoodQuality enabled: true range: 1.000 10.000 + lock-range: false term: Bad Trapezoid 0.000 1.000 3.000 7.000 term: Good Trapezoid 3.000 7.000 10.000 11.000 InputVariable: Service enabled: true range: 1.000 10.000 + lock-range: false term: Bad Trapezoid 0.000 1.000 3.000 7.000 term: Good Trapezoid 3.000 7.000 10.000 11.000 OutputVariable: Tip enabled: true range: 10.000 20.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: TenPercent Linear 0.000 0.000 10.000 term: FifteenPercent Linear 0.000 0.000 15.000 term: TwentyPercent Linear 0.000 0.000 20.000 @@ -24,7 +26,8 @@ RuleBlock: enabled: true conjunction: Minimum disjunction: none - activation: none + implication: none + activation: General rule: if FoodQuality is Bad and Service is Bad then Tip is TenPercent rule: if FoodQuality is Bad and Service is Good then Tip is FifteenPercent rule: if FoodQuality is Good and Service is Bad then Tip is FifteenPercent diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.java b/examples/takagi-sugeno/octave/linear_tip_calculator.java index 0600638..7046734 100644 --- a/examples/takagi-sugeno/octave/linear_tip_calculator.java +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,45 +13,55 @@ import com.fuzzylite.variable.*; public class linear_tip_calculator{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Linear-Tip-Calculator"); - -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("FoodQuality"); -inputVariable1.setRange(1.000, 10.000); -inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable1); - -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("Service"); -inputVariable2.setRange(1.000, 10.000); -inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable2); - -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("Tip"); -outputVariable.setRange(10.000, 20.000); -outputVariable.fuzzyOutput().setAccumulation(null); -outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(Linear.create("TenPercent", engine, 0.000, 0.000, 10.000)); -outputVariable.addTerm(Linear.create("FifteenPercent", engine, 0.000, 0.000, 15.000)); -outputVariable.addTerm(Linear.create("TwentyPercent", engine, 0.000, 0.000, 20.000)); -engine.addOutputVariable(outputVariable); +engine.setName("linear_tip_calculator"); +engine.setDescription(""); + +InputVariable FoodQuality = new InputVariable(); +FoodQuality.setName("FoodQuality"); +FoodQuality.setDescription(""); +FoodQuality.setEnabled(true); +FoodQuality.setRange(1.000, 10.000); +FoodQuality.setLockValueInRange(false); +FoodQuality.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(FoodQuality); + +InputVariable Service = new InputVariable(); +Service.setName("Service"); +Service.setDescription(""); +Service.setEnabled(true); +Service.setRange(1.000, 10.000); +Service.setLockValueInRange(false); +Service.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(Service); + +OutputVariable Tip = new OutputVariable(); +Tip.setName("Tip"); +Tip.setDescription(""); +Tip.setEnabled(true); +Tip.setRange(10.000, 20.000); +Tip.setLockValueInRange(false); +Tip.setAggregation(null); +Tip.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +Tip.setDefaultValue(Double.NaN); +Tip.setLockPreviousValue(false); +Tip.addTerm(Linear.create("TenPercent", engine, 0.000, 0.000, 10.000)); +Tip.addTerm(Linear.create("FifteenPercent", engine, 0.000, 0.000, 15.000)); +Tip.addTerm(Linear.create("TwentyPercent", engine, 0.000, 0.000, 20.000)); +engine.addOutputVariable(Tip); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new Minimum()); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then Tip is TenPercent", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then Tip is FifteenPercent", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then Tip is FifteenPercent", engine)); diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.pdf b/examples/takagi-sugeno/octave/linear_tip_calculator.pdf Binary files differnew file mode 100644 index 0000000..357f529 --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.pdf diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.R b/examples/takagi-sugeno/octave/sugeno_tip_calculator.R new file mode 100644 index 0000000..1491a96 --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.R @@ -0,0 +1,119 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "sugeno_tip_calculator" +engine.fll = "Engine: sugeno_tip_calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + lock-range: false + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + lock-range: false + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: CheapTip + enabled: true + range: 5.000 25.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +OutputVariable: AverageTip + enabled: true + range: 5.000 25.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +OutputVariable: GenerousTip + enabled: true + range: 5.000 25.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: none + implication: none + activation: General + rule: if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low + rule: if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + rule: if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + rule: if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High + rule: if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High + rule: if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High" + +engine.fldFile = "sugeno_tip_calculator.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1i2_o1 = ggplot(engine.df, aes(FoodQuality, Service)) + + geom_tile(aes(fill=CheapTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=FoodQuality, y=Service, z=CheapTip), color="black") + + ggtitle("(FoodQuality, Service) = CheapTip") + +engine.plot.i2i1_o1 = ggplot(engine.df, aes(Service, FoodQuality)) + + geom_tile(aes(fill=CheapTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Service, y=FoodQuality, z=CheapTip), color="black") + + ggtitle("(Service, FoodQuality) = CheapTip") + +engine.plot.i1i2_o2 = ggplot(engine.df, aes(FoodQuality, Service)) + + geom_tile(aes(fill=AverageTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=FoodQuality, y=Service, z=AverageTip), color="black") + + ggtitle("(FoodQuality, Service) = AverageTip") + +engine.plot.i2i1_o2 = ggplot(engine.df, aes(Service, FoodQuality)) + + geom_tile(aes(fill=AverageTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Service, y=FoodQuality, z=AverageTip), color="black") + + ggtitle("(Service, FoodQuality) = AverageTip") + +engine.plot.i1i2_o3 = ggplot(engine.df, aes(FoodQuality, Service)) + + geom_tile(aes(fill=GenerousTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=FoodQuality, y=Service, z=GenerousTip), color="black") + + ggtitle("(FoodQuality, Service) = GenerousTip") + +engine.plot.i2i1_o3 = ggplot(engine.df, aes(Service, FoodQuality)) + + geom_tile(aes(fill=GenerousTip)) + + scale_fill_gradient(low="yellow", high="red") + + stat_contour(aes(x=Service, y=FoodQuality, z=GenerousTip), color="black") + + ggtitle("(Service, FoodQuality) = GenerousTip") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1i2_o1, engine.plot.i2i1_o1, engine.plot.i1i2_o2, engine.plot.i2i1_o2, engine.plot.i1i2_o3, engine.plot.i2i1_o3, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp b/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp index d92de0a..96536fa 100644 --- a/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp @@ -1,85 +1,97 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName("Sugeno-Tip-Calculator"); +engine->setName("sugeno_tip_calculator"); +engine->setDescription(""); -InputVariable* inputVariable1 = new InputVariable; -inputVariable1->setEnabled(true); -inputVariable1->setName("FoodQuality"); -inputVariable1->setRange(1.000, 10.000); -inputVariable1->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine->addInputVariable(inputVariable1); +InputVariable* FoodQuality = new InputVariable; +FoodQuality->setName("FoodQuality"); +FoodQuality->setDescription(""); +FoodQuality->setEnabled(true); +FoodQuality->setRange(1.000, 10.000); +FoodQuality->setLockValueInRange(false); +FoodQuality->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(FoodQuality); -InputVariable* inputVariable2 = new InputVariable; -inputVariable2->setEnabled(true); -inputVariable2->setName("Service"); -inputVariable2->setRange(1.000, 10.000); -inputVariable2->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine->addInputVariable(inputVariable2); +InputVariable* Service = new InputVariable; +Service->setName("Service"); +Service->setDescription(""); +Service->setEnabled(true); +Service->setRange(1.000, 10.000); +Service->setLockValueInRange(false); +Service->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(Service); -OutputVariable* outputVariable1 = new OutputVariable; -outputVariable1->setEnabled(true); -outputVariable1->setName("CheapTip"); -outputVariable1->setRange(5.000, 25.000); -outputVariable1->fuzzyOutput()->setAccumulation(fl::null); -outputVariable1->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable1->setDefaultValue(fl::nan); -outputVariable1->setLockPreviousOutputValue(false); -outputVariable1->setLockOutputValueInRange(false); -outputVariable1->addTerm(new Constant("Low", 10.000)); -outputVariable1->addTerm(new Constant("Medium", 15.000)); -outputVariable1->addTerm(new Constant("High", 20.000)); -engine->addOutputVariable(outputVariable1); +OutputVariable* CheapTip = new OutputVariable; +CheapTip->setName("CheapTip"); +CheapTip->setDescription(""); +CheapTip->setEnabled(true); +CheapTip->setRange(5.000, 25.000); +CheapTip->setLockValueInRange(false); +CheapTip->setAggregation(fl::null); +CheapTip->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +CheapTip->setDefaultValue(fl::nan); +CheapTip->setLockPreviousValue(false); +CheapTip->addTerm(new Constant("Low", 10.000)); +CheapTip->addTerm(new Constant("Medium", 15.000)); +CheapTip->addTerm(new Constant("High", 20.000)); +engine->addOutputVariable(CheapTip); -OutputVariable* outputVariable2 = new OutputVariable; -outputVariable2->setEnabled(true); -outputVariable2->setName("AverageTip"); -outputVariable2->setRange(5.000, 25.000); -outputVariable2->fuzzyOutput()->setAccumulation(fl::null); -outputVariable2->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable2->setDefaultValue(fl::nan); -outputVariable2->setLockPreviousOutputValue(false); -outputVariable2->setLockOutputValueInRange(false); -outputVariable2->addTerm(new Constant("Low", 10.000)); -outputVariable2->addTerm(new Constant("Medium", 15.000)); -outputVariable2->addTerm(new Constant("High", 20.000)); -engine->addOutputVariable(outputVariable2); +OutputVariable* AverageTip = new OutputVariable; +AverageTip->setName("AverageTip"); +AverageTip->setDescription(""); +AverageTip->setEnabled(true); +AverageTip->setRange(5.000, 25.000); +AverageTip->setLockValueInRange(false); +AverageTip->setAggregation(fl::null); +AverageTip->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +AverageTip->setDefaultValue(fl::nan); +AverageTip->setLockPreviousValue(false); +AverageTip->addTerm(new Constant("Low", 10.000)); +AverageTip->addTerm(new Constant("Medium", 15.000)); +AverageTip->addTerm(new Constant("High", 20.000)); +engine->addOutputVariable(AverageTip); -OutputVariable* outputVariable3 = new OutputVariable; -outputVariable3->setEnabled(true); -outputVariable3->setName("GenerousTip"); -outputVariable3->setRange(5.000, 25.000); -outputVariable3->fuzzyOutput()->setAccumulation(fl::null); -outputVariable3->setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable3->setDefaultValue(fl::nan); -outputVariable3->setLockPreviousOutputValue(false); -outputVariable3->setLockOutputValueInRange(false); -outputVariable3->addTerm(new Constant("Low", 10.000)); -outputVariable3->addTerm(new Constant("Medium", 15.000)); -outputVariable3->addTerm(new Constant("High", 20.000)); -engine->addOutputVariable(outputVariable3); +OutputVariable* GenerousTip = new OutputVariable; +GenerousTip->setName("GenerousTip"); +GenerousTip->setDescription(""); +GenerousTip->setEnabled(true); +GenerousTip->setRange(5.000, 25.000); +GenerousTip->setLockValueInRange(false); +GenerousTip->setAggregation(fl::null); +GenerousTip->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +GenerousTip->setDefaultValue(fl::nan); +GenerousTip->setLockPreviousValue(false); +GenerousTip->addTerm(new Constant("Low", 10.000)); +GenerousTip->addTerm(new Constant("Medium", 15.000)); +GenerousTip->addTerm(new Constant("High", 20.000)); +engine->addOutputVariable(GenerousTip); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(new EinsteinProduct); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); -ruleBlock->addRule(fl::Rule::parse("if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(Rule::parse("if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl index ad98f68..fcb857c 100644 --- a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK Sugeno-Tip-Calculator +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK sugeno_tip_calculator VAR_INPUT FoodQuality: REAL; diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis index 4349913..3d28f10 100644 --- a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='Sugeno-Tip-Calculator' +Name='sugeno_tip_calculator' Type='sugeno' +Version=6.0 NumInputs=2 NumOutputs=3 NumRules=10 AndMethod='einstein_product' -OrMethod='' -ImpMethod='' -AggMethod='' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld index 6816af5..ce942fd 100644 --- a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld @@ -1,1026 +1,1025 @@ -#@Engine: Sugeno-Tip-Calculator; -#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: CheapTip; @OutputVariable: AverageTip; @OutputVariable: GenerousTip; -1.00000000 1.00000000 10.00000000 10.00000000 12.50000000 -1.00000000 1.29032258 10.00000000 10.00000000 12.50000000 -1.00000000 1.58064516 10.00000000 10.00000000 12.50000000 -1.00000000 1.87096774 10.00000000 10.00000000 12.50000000 -1.00000000 2.16129032 10.00000000 10.00000000 12.50000000 -1.00000000 2.45161290 10.00000000 10.00000000 12.50000000 -1.00000000 2.74193548 10.00000000 10.00000000 12.50000000 -1.00000000 3.03225806 10.00000000 10.02032322 12.52040460 -1.00000000 3.32258065 10.00000000 10.21723908 12.72618837 -1.00000000 3.61290323 10.00000000 10.43854143 12.97859532 -1.00000000 3.90322581 10.00000000 10.68860515 13.30323372 -1.00000000 4.19354839 10.00000000 10.98519415 13.75455390 -1.00000000 4.48387097 10.00000000 11.36896201 14.43109544 -1.00000000 4.77419355 10.00000000 11.91319586 15.48909397 -1.00000000 5.06451613 10.00000000 12.68223479 17.02303230 -1.00000000 5.35483871 10.00000000 13.34274407 18.15544945 -1.00000000 5.64516129 10.00000000 13.79246624 18.75419392 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+10.000000000 7.096774194 17.500000000 17.500000000 20.000000000 +10.000000000 7.387096774 17.500000000 17.500000000 20.000000000 +10.000000000 7.677419355 17.500000000 17.500000000 20.000000000 +10.000000000 7.967741935 17.500000000 17.500000000 20.000000000 +10.000000000 8.258064516 17.500000000 17.500000000 20.000000000 +10.000000000 8.548387097 17.500000000 17.500000000 20.000000000 +10.000000000 8.838709677 17.500000000 17.500000000 20.000000000 +10.000000000 9.129032258 17.500000000 17.500000000 20.000000000 +10.000000000 9.419354839 17.500000000 17.500000000 20.000000000 +10.000000000 9.709677419 17.500000000 17.500000000 20.000000000 +10.000000000 10.000000000 17.500000000 17.500000000 20.000000000 diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll index 611d6eb..1b51806 100644 --- a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll @@ -1,44 +1,46 @@ -Engine: Sugeno-Tip-Calculator +Engine: sugeno_tip_calculator InputVariable: FoodQuality enabled: true range: 1.000 10.000 + lock-range: false term: Bad Trapezoid 0.000 1.000 3.000 7.000 term: Good Trapezoid 3.000 7.000 10.000 11.000 InputVariable: Service enabled: true range: 1.000 10.000 + lock-range: false term: Bad Trapezoid 0.000 1.000 3.000 7.000 term: Good Trapezoid 3.000 7.000 10.000 11.000 OutputVariable: CheapTip enabled: true range: 5.000 25.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: Low Constant 10.000 term: Medium Constant 15.000 term: High Constant 20.000 OutputVariable: AverageTip enabled: true range: 5.000 25.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: Low Constant 10.000 term: Medium Constant 15.000 term: High Constant 20.000 OutputVariable: GenerousTip enabled: true range: 5.000 25.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage TakagiSugeno default: nan lock-previous: false - lock-range: false term: Low Constant 10.000 term: Medium Constant 15.000 term: High Constant 20.000 @@ -46,7 +48,8 @@ RuleBlock: enabled: true conjunction: EinsteinProduct disjunction: none - activation: none + implication: none + activation: General rule: if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low rule: if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium rule: if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.java b/examples/takagi-sugeno/octave/sugeno_tip_calculator.java index 939649e..d64e722 100644 --- a/examples/takagi-sugeno/octave/sugeno_tip_calculator.java +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,73 +13,85 @@ import com.fuzzylite.variable.*; public class sugeno_tip_calculator{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Sugeno-Tip-Calculator"); +engine.setName("sugeno_tip_calculator"); +engine.setDescription(""); -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("FoodQuality"); -inputVariable1.setRange(1.000, 10.000); -inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable1); +InputVariable FoodQuality = new InputVariable(); +FoodQuality.setName("FoodQuality"); +FoodQuality.setDescription(""); +FoodQuality.setEnabled(true); +FoodQuality.setRange(1.000, 10.000); +FoodQuality.setLockValueInRange(false); +FoodQuality.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(FoodQuality); -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("Service"); -inputVariable2.setRange(1.000, 10.000); -inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable2); +InputVariable Service = new InputVariable(); +Service.setName("Service"); +Service.setDescription(""); +Service.setEnabled(true); +Service.setRange(1.000, 10.000); +Service.setLockValueInRange(false); +Service.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(Service); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("CheapTip"); -outputVariable1.setRange(5.000, 25.000); -outputVariable1.fuzzyOutput().setAccumulation(null); -outputVariable1.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(false); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(new Constant("Low", 10.000)); -outputVariable1.addTerm(new Constant("Medium", 15.000)); -outputVariable1.addTerm(new Constant("High", 20.000)); -engine.addOutputVariable(outputVariable1); +OutputVariable CheapTip = new OutputVariable(); +CheapTip.setName("CheapTip"); +CheapTip.setDescription(""); +CheapTip.setEnabled(true); +CheapTip.setRange(5.000, 25.000); +CheapTip.setLockValueInRange(false); +CheapTip.setAggregation(null); +CheapTip.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +CheapTip.setDefaultValue(Double.NaN); +CheapTip.setLockPreviousValue(false); +CheapTip.addTerm(new Constant("Low", 10.000)); +CheapTip.addTerm(new Constant("Medium", 15.000)); +CheapTip.addTerm(new Constant("High", 20.000)); +engine.addOutputVariable(CheapTip); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("AverageTip"); -outputVariable2.setRange(5.000, 25.000); -outputVariable2.fuzzyOutput().setAccumulation(null); -outputVariable2.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(false); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(new Constant("Low", 10.000)); -outputVariable2.addTerm(new Constant("Medium", 15.000)); -outputVariable2.addTerm(new Constant("High", 20.000)); -engine.addOutputVariable(outputVariable2); +OutputVariable AverageTip = new OutputVariable(); +AverageTip.setName("AverageTip"); +AverageTip.setDescription(""); +AverageTip.setEnabled(true); +AverageTip.setRange(5.000, 25.000); +AverageTip.setLockValueInRange(false); +AverageTip.setAggregation(null); +AverageTip.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +AverageTip.setDefaultValue(Double.NaN); +AverageTip.setLockPreviousValue(false); +AverageTip.addTerm(new Constant("Low", 10.000)); +AverageTip.addTerm(new Constant("Medium", 15.000)); +AverageTip.addTerm(new Constant("High", 20.000)); +engine.addOutputVariable(AverageTip); -OutputVariable outputVariable3 = new OutputVariable(); -outputVariable3.setEnabled(true); -outputVariable3.setName("GenerousTip"); -outputVariable3.setRange(5.000, 25.000); -outputVariable3.fuzzyOutput().setAccumulation(null); -outputVariable3.setDefuzzifier(new WeightedAverage("TakagiSugeno")); -outputVariable3.setDefaultValue(Double.NaN); -outputVariable3.setLockPreviousOutputValue(false); -outputVariable3.setLockOutputValueInRange(false); -outputVariable3.addTerm(new Constant("Low", 10.000)); -outputVariable3.addTerm(new Constant("Medium", 15.000)); -outputVariable3.addTerm(new Constant("High", 20.000)); -engine.addOutputVariable(outputVariable3); +OutputVariable GenerousTip = new OutputVariable(); +GenerousTip.setName("GenerousTip"); +GenerousTip.setDescription(""); +GenerousTip.setEnabled(true); +GenerousTip.setRange(5.000, 25.000); +GenerousTip.setLockValueInRange(false); +GenerousTip.setAggregation(null); +GenerousTip.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +GenerousTip.setDefaultValue(Double.NaN); +GenerousTip.setLockPreviousValue(false); +GenerousTip.addTerm(new Constant("Low", 10.000)); +GenerousTip.addTerm(new Constant("Medium", 15.000)); +GenerousTip.addTerm(new Constant("High", 20.000)); +engine.addOutputVariable(GenerousTip); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new EinsteinProduct()); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.pdf b/examples/takagi-sugeno/octave/sugeno_tip_calculator.pdf Binary files differnew file mode 100644 index 0000000..f138223 --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.pdf diff --git a/examples/tsukamoto/tsukamoto.R b/examples/tsukamoto/tsukamoto.R new file mode 100644 index 0000000..51fbdd4 --- /dev/null +++ b/examples/tsukamoto/tsukamoto.R @@ -0,0 +1,126 @@ +#Code automatically generated with fuzzylite 6.0. + +library(ggplot2); + +engine.name = "tsukamoto" +engine.fll = "Engine: tsukamoto +InputVariable: X + enabled: true + range: -10.000 10.000 + lock-range: false + term: small Bell -10.000 5.000 3.000 + term: medium Bell 0.000 5.000 3.000 + term: large Bell 10.000 5.000 3.000 +OutputVariable: Ramps + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: b Ramp 0.600 0.400 + term: a Ramp 0.000 0.250 + term: c Ramp 0.700 1.000 +OutputVariable: Sigmoids + enabled: true + range: 0.020 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: b Sigmoid 0.500 -30.000 + term: a Sigmoid 0.130 30.000 + term: c Sigmoid 0.830 30.000 +OutputVariable: ZSShapes + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: b ZShape 0.300 0.600 + term: a SShape 0.000 0.250 + term: c SShape 0.700 1.000 +OutputVariable: Concaves + enabled: true + range: 0.000 1.000 + lock-range: false + aggregation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + term: b Concave 0.500 0.400 + term: a Concave 0.240 0.250 + term: c Concave 0.900 1.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + implication: none + activation: General + rule: if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a + rule: if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b + rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c" + +engine.fldFile = "tsukamoto.fld" +if (require(data.table)) { + engine.df = data.table::fread(engine.fldFile, sep="auto", header="auto") +} else { + engine.df = read.table(engine.fldFile, header=TRUE) +} + +engine.plot.i1_o1 = ggplot(engine.df, aes(X, Ramps)) + + geom_line(aes(color=Ramps), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("X vs Ramps") + +engine.plot.o1_i1 = ggplot(engine.df, aes(X, Ramps)) + + geom_line(aes(color=Ramps), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Ramps vs X") + +engine.plot.i1_o2 = ggplot(engine.df, aes(X, Sigmoids)) + + geom_line(aes(color=Sigmoids), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("X vs Sigmoids") + +engine.plot.o2_i1 = ggplot(engine.df, aes(X, Sigmoids)) + + geom_line(aes(color=Sigmoids), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Sigmoids vs X") + +engine.plot.i1_o3 = ggplot(engine.df, aes(X, ZSShapes)) + + geom_line(aes(color=ZSShapes), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("X vs ZSShapes") + +engine.plot.o3_i1 = ggplot(engine.df, aes(X, ZSShapes)) + + geom_line(aes(color=ZSShapes), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("ZSShapes vs X") + +engine.plot.i1_o4 = ggplot(engine.df, aes(X, Concaves)) + + geom_line(aes(color=Concaves), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + ggtitle("X vs Concaves") + +engine.plot.o4_i1 = ggplot(engine.df, aes(X, Concaves)) + + geom_line(aes(color=Concaves), size=3, lineend="round", linejoin="mitre") + + scale_color_gradient(low="yellow", high="red") + + coord_flip() + + ggtitle("Concaves vs X") + +if (require(gridExtra)) { + engine.plots = arrangeGrob(engine.plot.i1_o1, engine.plot.o1_i1, engine.plot.i1_o2, engine.plot.o2_i1, engine.plot.i1_o3, engine.plot.o3_i1, engine.plot.i1_o4, engine.plot.o4_i1, ncol=2, top=engine.name) + ggsave(paste0(engine.name, ".pdf"), engine.plots) + if (require(grid)) { + grid.newpage() + grid.draw(engine.plots) + } +} diff --git a/examples/tsukamoto/tsukamoto.cpp b/examples/tsukamoto/tsukamoto.cpp index 4432936..a50c53d 100644 --- a/examples/tsukamoto/tsukamoto.cpp +++ b/examples/tsukamoto/tsukamoto.cpp @@ -1,85 +1,96 @@ #include <fl/Headers.h> int main(int argc, char** argv){ +//Code automatically generated with fuzzylite 6.0. + using namespace fl; Engine* engine = new Engine; -engine->setName(""); +engine->setName("tsukamoto"); +engine->setDescription(""); -InputVariable* inputVariable = new InputVariable; -inputVariable->setEnabled(true); -inputVariable->setName("X"); -inputVariable->setRange(-10.000, 10.000); -inputVariable->addTerm(new Bell("small", -10.000, 5.000, 3.000)); -inputVariable->addTerm(new Bell("medium", 0.000, 5.000, 3.000)); -inputVariable->addTerm(new Bell("large", 10.000, 5.000, 3.000)); -engine->addInputVariable(inputVariable); +InputVariable* X = new InputVariable; +X->setName("X"); +X->setDescription(""); +X->setEnabled(true); +X->setRange(-10.000, 10.000); +X->setLockValueInRange(false); +X->addTerm(new Bell("small", -10.000, 5.000, 3.000)); +X->addTerm(new Bell("medium", 0.000, 5.000, 3.000)); +X->addTerm(new Bell("large", 10.000, 5.000, 3.000)); +engine->addInputVariable(X); -OutputVariable* outputVariable1 = new OutputVariable; -outputVariable1->setEnabled(true); -outputVariable1->setName("Ramps"); -outputVariable1->setRange(0.000, 1.000); -outputVariable1->fuzzyOutput()->setAccumulation(fl::null); -outputVariable1->setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable1->setDefaultValue(fl::nan); -outputVariable1->setLockPreviousOutputValue(false); -outputVariable1->setLockOutputValueInRange(false); -outputVariable1->addTerm(new Ramp("b", 0.600, 0.400)); -outputVariable1->addTerm(new Ramp("a", 0.000, 0.250)); -outputVariable1->addTerm(new Ramp("c", 0.700, 1.000)); -engine->addOutputVariable(outputVariable1); +OutputVariable* Ramps = new OutputVariable; +Ramps->setName("Ramps"); +Ramps->setDescription(""); +Ramps->setEnabled(true); +Ramps->setRange(0.000, 1.000); +Ramps->setLockValueInRange(false); +Ramps->setAggregation(fl::null); +Ramps->setDefuzzifier(new WeightedAverage("Automatic")); +Ramps->setDefaultValue(fl::nan); +Ramps->setLockPreviousValue(false); +Ramps->addTerm(new Ramp("b", 0.600, 0.400)); +Ramps->addTerm(new Ramp("a", 0.000, 0.250)); +Ramps->addTerm(new Ramp("c", 0.700, 1.000)); +engine->addOutputVariable(Ramps); -OutputVariable* outputVariable2 = new OutputVariable; -outputVariable2->setEnabled(true); -outputVariable2->setName("Sigmoids"); -outputVariable2->setRange(0.020, 1.000); -outputVariable2->fuzzyOutput()->setAccumulation(fl::null); -outputVariable2->setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable2->setDefaultValue(fl::nan); -outputVariable2->setLockPreviousOutputValue(false); -outputVariable2->setLockOutputValueInRange(false); -outputVariable2->addTerm(new Sigmoid("b", 0.500, -30.000)); -outputVariable2->addTerm(new Sigmoid("a", 0.130, 30.000)); -outputVariable2->addTerm(new Sigmoid("c", 0.830, 30.000)); -engine->addOutputVariable(outputVariable2); +OutputVariable* Sigmoids = new OutputVariable; +Sigmoids->setName("Sigmoids"); +Sigmoids->setDescription(""); +Sigmoids->setEnabled(true); +Sigmoids->setRange(0.020, 1.000); +Sigmoids->setLockValueInRange(false); +Sigmoids->setAggregation(fl::null); +Sigmoids->setDefuzzifier(new WeightedAverage("Automatic")); +Sigmoids->setDefaultValue(fl::nan); +Sigmoids->setLockPreviousValue(false); +Sigmoids->addTerm(new Sigmoid("b", 0.500, -30.000)); +Sigmoids->addTerm(new Sigmoid("a", 0.130, 30.000)); +Sigmoids->addTerm(new Sigmoid("c", 0.830, 30.000)); +engine->addOutputVariable(Sigmoids); -OutputVariable* outputVariable3 = new OutputVariable; -outputVariable3->setEnabled(true); -outputVariable3->setName("ZSShapes"); -outputVariable3->setRange(0.000, 1.000); -outputVariable3->fuzzyOutput()->setAccumulation(fl::null); -outputVariable3->setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable3->setDefaultValue(fl::nan); -outputVariable3->setLockPreviousOutputValue(false); -outputVariable3->setLockOutputValueInRange(false); -outputVariable3->addTerm(new ZShape("b", 0.300, 0.600)); -outputVariable3->addTerm(new SShape("a", 0.000, 0.250)); -outputVariable3->addTerm(new SShape("c", 0.700, 1.000)); -engine->addOutputVariable(outputVariable3); +OutputVariable* ZSShapes = new OutputVariable; +ZSShapes->setName("ZSShapes"); +ZSShapes->setDescription(""); +ZSShapes->setEnabled(true); +ZSShapes->setRange(0.000, 1.000); +ZSShapes->setLockValueInRange(false); +ZSShapes->setAggregation(fl::null); +ZSShapes->setDefuzzifier(new WeightedAverage("Automatic")); +ZSShapes->setDefaultValue(fl::nan); +ZSShapes->setLockPreviousValue(false); +ZSShapes->addTerm(new ZShape("b", 0.300, 0.600)); +ZSShapes->addTerm(new SShape("a", 0.000, 0.250)); +ZSShapes->addTerm(new SShape("c", 0.700, 1.000)); +engine->addOutputVariable(ZSShapes); -OutputVariable* outputVariable4 = new OutputVariable; -outputVariable4->setEnabled(true); -outputVariable4->setName("Concaves"); -outputVariable4->setRange(0.000, 1.000); -outputVariable4->fuzzyOutput()->setAccumulation(fl::null); -outputVariable4->setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable4->setDefaultValue(fl::nan); -outputVariable4->setLockPreviousOutputValue(false); -outputVariable4->setLockOutputValueInRange(false); -outputVariable4->addTerm(new Concave("b", 0.500, 0.400)); -outputVariable4->addTerm(new Concave("a", 0.240, 0.250)); -outputVariable4->addTerm(new Concave("c", 0.900, 1.000)); -engine->addOutputVariable(outputVariable4); +OutputVariable* Concaves = new OutputVariable; +Concaves->setName("Concaves"); +Concaves->setDescription(""); +Concaves->setEnabled(true); +Concaves->setRange(0.000, 1.000); +Concaves->setLockValueInRange(false); +Concaves->setAggregation(fl::null); +Concaves->setDefuzzifier(new WeightedAverage("Automatic")); +Concaves->setDefaultValue(fl::nan); +Concaves->setLockPreviousValue(false); +Concaves->addTerm(new Concave("b", 0.500, 0.400)); +Concaves->addTerm(new Concave("a", 0.240, 0.250)); +Concaves->addTerm(new Concave("c", 0.900, 1.000)); +engine->addOutputVariable(Concaves); RuleBlock* ruleBlock = new RuleBlock; -ruleBlock->setEnabled(true); ruleBlock->setName(""); +ruleBlock->setDescription(""); +ruleBlock->setEnabled(true); ruleBlock->setConjunction(fl::null); ruleBlock->setDisjunction(fl::null); -ruleBlock->setActivation(fl::null); -ruleBlock->addRule(fl::Rule::parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine)); -ruleBlock->addRule(fl::Rule::parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine)); +ruleBlock->setImplication(fl::null); +ruleBlock->setActivation(new General); +ruleBlock->addRule(Rule::parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine)); +ruleBlock->addRule(Rule::parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine)); +ruleBlock->addRule(Rule::parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine)); engine->addRuleBlock(ruleBlock); diff --git a/examples/tsukamoto/tsukamoto.fcl b/examples/tsukamoto/tsukamoto.fcl index 16a4bbd..b26fc60 100644 --- a/examples/tsukamoto/tsukamoto.fcl +++ b/examples/tsukamoto/tsukamoto.fcl @@ -1,4 +1,6 @@ -FUNCTION_BLOCK +//Code automatically generated with fuzzylite 6.0. + +FUNCTION_BLOCK tsukamoto VAR_INPUT X: REAL; diff --git a/examples/tsukamoto/tsukamoto.fis b/examples/tsukamoto/tsukamoto.fis index 6dc1b4f..0127bdd 100644 --- a/examples/tsukamoto/tsukamoto.fis +++ b/examples/tsukamoto/tsukamoto.fis @@ -1,13 +1,16 @@ +#Code automatically generated with fuzzylite 6.0. + [System] -Name='' +Name='tsukamoto' Type='tsukamoto' +Version=6.0 NumInputs=1 NumOutputs=4 NumRules=3 -AndMethod='' -OrMethod='' -ImpMethod='' -AggMethod='' +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' DefuzzMethod='wtaver' [Input1] diff --git a/examples/tsukamoto/tsukamoto.fld b/examples/tsukamoto/tsukamoto.fld index 85e0cc3..a62de71 100644 --- a/examples/tsukamoto/tsukamoto.fld +++ b/examples/tsukamoto/tsukamoto.fld @@ -1,1026 +1,1025 @@ -#@Engine: ; -#@InputVariable: X; @OutputVariable: Ramps; @OutputVariable: Sigmoids; @OutputVariable: ZSShapes; @OutputVariable: Concaves; --10.00000000 0.25536331 0.99441852 0.25580927 0.25221216 --9.98044966 0.25542354 0.99434929 0.25587749 0.25223783 --9.96089932 0.25548454 0.99427909 0.25594671 0.25226383 --9.94134897 0.25554631 0.99420791 0.25601699 0.25229018 --9.92179863 0.25560889 0.99413572 0.25608842 0.25231688 --9.90224829 0.25567226 0.99406252 0.25616107 0.25234393 --9.88269795 0.25573645 0.99398828 0.25623502 0.25237134 --9.86314761 0.25580146 0.99391299 0.25631034 0.25239911 --9.84359726 0.25586731 0.99383664 0.25638712 0.25242725 --9.82404692 0.25593401 0.99375920 0.25646543 0.25245576 --9.80449658 0.25600158 0.99368066 0.25654534 0.25248466 --9.78494624 0.25607001 0.99360101 0.25662695 0.25251393 --9.76539589 0.25613933 0.99352023 0.25671031 0.25254360 --9.74584555 0.25620954 0.99343829 0.25679552 0.25257366 --9.72629521 0.25628067 0.99335519 0.25688266 0.25260413 --9.70674487 0.25635271 0.99327090 0.25697179 0.25263500 --9.68719453 0.25642570 0.99318540 0.25706301 0.25266629 --9.66764418 0.25649962 0.99309868 0.25715639 0.25269800 --9.64809384 0.25657451 0.99301071 0.25725200 0.25273013 --9.62854350 0.25665038 0.99292148 0.25734994 0.25276269 --9.60899316 0.25672722 0.99283097 0.25745027 0.25279570 --9.58944282 0.25680507 0.99273915 0.25755308 0.25282915 --9.56989247 0.25688393 0.99264601 0.25765846 0.25286305 --9.55034213 0.25696382 0.99255153 0.25776647 0.25289740 --9.53079179 0.25704474 0.99245567 0.25787721 0.25293223 --9.51124145 0.25712672 0.99235844 0.25799075 0.25296752 --9.49169110 0.25720976 0.58805202 0.25810718 0.25300329 --9.47214076 0.25729388 0.58066402 0.25822657 0.25303955 --9.45259042 0.25737909 0.57354840 0.25834901 0.25307630 --9.43304008 0.25746541 0.56668617 0.25847459 0.25311356 --9.41348974 0.25755285 0.56006026 0.25860337 0.25315132 --9.39393939 0.25764143 0.55365530 0.25873546 0.25318959 --9.37438905 0.25773114 0.54745738 0.25887092 0.25322839 --9.35483871 0.25782202 0.54145387 0.25900985 0.25326772 --9.33528837 0.25791407 0.53563327 0.25915232 0.25330758 --9.31573803 0.25800731 0.52998510 0.25929843 0.25334800 --9.29618768 0.25810174 0.52449975 0.25944825 0.25338896 --9.27663734 0.25819739 0.51916841 0.25960187 0.25343050 --9.25708700 0.25829425 0.51398297 0.25975938 0.25347260 --9.23753666 0.25839236 0.50893596 0.25992086 0.25351528 --9.21798631 0.25849171 0.50402049 0.26008639 0.25355855 --9.19843597 0.25859233 0.49923015 0.26025607 0.25360242 --9.17888563 0.25869422 0.49455902 0.26042997 0.25364689 --9.15933529 0.25879739 0.49000161 0.26060819 0.25369198 --9.13978495 0.25890186 0.48555278 0.26079081 0.25373769 --9.12023460 0.25900763 0.48120775 0.26097791 0.25378404 --9.10068426 0.25911473 0.47696208 0.26116960 0.25383103 --9.08113392 0.25922315 0.47281158 0.26136594 0.25387867 --9.06158358 0.25933291 0.46875235 0.26156704 0.25392698 --9.04203324 0.25944402 0.46478074 0.26177298 0.25397596 --9.02248289 0.25955649 0.46089330 0.26198385 0.25402563 --9.00293255 0.25967032 0.45708680 0.26219974 0.25407598 --8.98338221 0.25978553 0.45335820 0.26242074 0.25412704 --8.96383187 0.25990212 0.44970464 0.26264693 0.25417882 --8.94428152 0.26002010 0.44612342 0.26287842 0.25423132 --8.92473118 0.26013948 0.44261197 0.26311528 0.25428456 --8.90518084 0.26026027 0.43916789 0.26335761 0.25433855 --8.88563050 0.26038246 0.43578890 0.26360551 0.25439330 --8.86608016 0.26050607 0.43247284 0.26385906 0.25444882 --8.84652981 0.26063110 0.42921765 0.26411836 0.25450512 --8.82697947 0.26075756 0.42602140 0.26438350 0.25456221 --8.80742913 0.26088545 0.42288224 0.26465457 0.25462012 --8.78787879 0.26101476 0.41979841 0.26493167 0.25467884 --8.76832845 0.26114551 0.41676826 0.26521489 0.25473840 --8.74877810 0.26127769 0.41379019 0.26550432 0.25479880 --8.72922776 0.26141131 0.41086270 0.26580007 0.25486006 --8.70967742 0.26154637 0.40798435 0.26610222 0.25492219 --8.69012708 0.26168285 0.40515377 0.26641087 0.25498521 --8.67057674 0.26182077 0.40236964 0.26672612 0.25504913 --8.65102639 0.26196012 0.39963073 0.26704806 0.25511396 --8.63147605 0.26210090 0.39693583 0.26737680 0.25517972 --8.61192571 0.26224309 0.39428381 0.26771243 0.25524642 --8.59237537 0.26238670 0.39167359 0.26805504 0.25531408 --8.57282502 0.26253172 0.38910410 0.26840474 0.25538271 --8.55327468 0.26267815 0.38657437 0.26876163 0.25545233 --8.53372434 0.26282596 0.38408343 0.26912580 0.25552295 --8.51417400 0.26297516 0.38163037 0.26949735 0.25559459 --8.49462366 0.26312573 0.37921432 0.26987640 0.25566727 --8.47507331 0.26327766 0.37683443 0.27026303 0.25574100 --8.45552297 0.26343094 0.37448990 0.27065735 0.25581580 --8.43597263 0.26358556 0.37217995 0.27105946 0.25589168 --8.41642229 0.26374149 0.36990385 0.27146946 0.25596867 --8.39687195 0.26389873 0.36766087 0.27188746 0.25604678 --8.37732160 0.26405725 0.36545035 0.27231356 0.25612603 --8.35777126 0.26421704 0.36327163 0.27274787 0.25620644 --8.33822092 0.26437808 0.36112406 0.27319049 0.25628802 --8.31867058 0.26454034 0.35900705 0.27364153 0.25637081 --8.29912023 0.26470380 0.35692002 0.27410108 0.25645480 --8.27956989 0.26486844 0.35486241 0.27456927 0.25654004 --8.26001955 0.26503424 0.35283367 0.27504619 0.25662653 --8.24046921 0.26520116 0.35083330 0.27553195 0.25671429 --8.22091887 0.26536918 0.34886080 0.27602666 0.25680336 --8.20136852 0.26553826 0.34691568 0.27653044 0.25689375 --8.18181818 0.26570839 0.34499749 0.27704338 0.25698547 --8.16226784 0.26587952 0.34310579 0.27756560 0.25707856 --8.14271750 0.26605163 0.34124015 0.27809722 0.25717304 --8.12316716 0.26622467 0.33940016 0.27863833 0.25726893 --8.10361681 0.26639862 0.33758544 0.27918905 0.25736625 --8.08406647 0.26657343 0.33579560 0.27974951 0.25746504 --8.06451613 0.26674906 0.33403029 0.28031979 0.25756530 --8.04496579 0.26692548 0.33228915 0.28090003 0.25766708 --8.02541544 0.26710264 0.33057184 0.28149034 0.25777038 --8.00586510 0.26728050 0.32887806 0.28209082 0.25787525 --7.98631476 0.26745901 0.32720748 0.28270160 0.25798171 --7.96676442 0.26763813 0.32555981 0.28332279 0.25808978 --7.94721408 0.26781782 0.32393477 0.28395451 0.25819950 --7.92766373 0.26799801 0.32233209 0.28459687 0.25831088 --7.90811339 0.26817867 0.32075149 0.28524999 0.25842397 --7.88856305 0.26835973 0.31919274 0.28591400 0.25853879 --7.86901271 0.26854116 0.31765559 0.28658900 0.25865536 --7.84946237 0.26872288 0.31613980 0.28727512 0.25877373 --7.82991202 0.26890486 0.31464517 0.28797248 0.25889393 --7.81036168 0.26908703 0.31317148 0.28868119 0.25901598 --7.79081134 0.26926933 0.31171853 0.28940139 0.25913991 --7.77126100 0.26945171 0.31028613 0.29013319 0.25926577 --7.75171065 0.26963410 0.30887410 0.29087671 0.25939359 --7.73216031 0.26981645 0.30748225 0.29163208 0.25952340 --7.71260997 0.26999870 0.30611044 0.29239941 0.25965524 --7.69305963 0.27018077 0.30475850 0.29317884 0.25978914 --7.67350929 0.27036262 0.30342628 0.29397049 0.25992514 --7.65395894 0.27054417 0.30211365 0.29477449 0.26006328 --7.63440860 0.27072536 0.30082047 0.29559095 0.26020361 --7.61485826 0.27090613 0.29954662 0.29642001 0.26034615 --7.59530792 0.27108641 0.29829198 0.29726179 0.26049095 --7.57575758 0.27126613 0.29705644 0.29811642 0.26063805 --7.55620723 0.27144524 0.29583991 0.29898403 0.26078749 --7.53665689 0.27162365 0.29464228 0.29986474 0.26093932 --7.51710655 0.27180131 0.29346347 0.30075869 0.26109358 --7.49755621 0.27197815 0.29230341 0.30166600 0.26125032 --7.47800587 0.27215410 0.29116201 0.30258681 0.26140958 --7.45845552 0.27232911 0.29003921 0.30352124 0.26157141 --7.43890518 0.27250309 0.28893495 0.30446943 0.26173586 --7.41935484 0.27267600 0.28784918 0.30543150 0.26190297 --7.39980450 0.27284776 0.28678185 0.30640760 0.26207280 --7.38025415 0.27301831 0.28573293 0.30739784 0.26224540 --7.36070381 0.27318759 0.28470237 0.30840237 0.26242082 --7.34115347 0.27335555 0.28369016 0.30942131 0.26259911 --7.32160313 0.27352212 0.28269627 0.31045480 0.26278032 --7.30205279 0.27368724 0.28172069 0.31150298 0.26296452 --7.28250244 0.27385086 0.28076341 0.31256597 0.26315176 --7.26295210 0.27401293 0.27982443 0.31364392 0.26334210 --7.24340176 0.27417340 0.27890375 0.31473695 0.26353559 --7.22385142 0.27433221 0.27800139 0.31584521 0.26373230 --7.20430108 0.27448932 0.27711736 0.31696883 0.26393229 --7.18475073 0.27464470 0.27625167 0.31810794 0.26413562 --7.16520039 0.27479829 0.27540437 0.31926268 0.26434235 --7.14565005 0.27495007 0.27457548 0.32043318 0.26455255 --7.12609971 0.27510001 0.27376505 0.32161959 0.26476629 --7.10654936 0.27524806 0.27297311 0.32282204 0.26498362 --7.08699902 0.27539422 0.27219973 0.32404067 0.26520463 --7.06744868 0.27553845 0.27144495 0.30753520 0.26542938 --7.04789834 0.27568076 0.27070885 0.30845025 0.26565794 --7.02834800 0.27582111 0.26999148 0.30937445 0.26589039 --7.00879765 0.27595952 0.26929292 0.31030773 0.26612679 --6.98924731 0.27609598 0.26861326 0.31125006 0.26636723 --6.96969697 0.27623051 0.26795257 0.31220136 0.26661178 --6.95014663 0.27636310 0.26731094 0.31316160 0.26686051 --6.93059629 0.27649379 0.26668847 0.31413068 0.26711352 --6.91104594 0.27662260 0.26608527 0.31510855 0.26737086 --6.89149560 0.27674956 0.26550142 0.31609512 0.26763264 --6.87194526 0.27687471 0.26493705 0.31709032 0.26789893 --6.85239492 0.27699811 0.26439227 0.31809405 0.26816981 --6.83284457 0.27711981 0.26386720 0.31910623 0.26844537 --6.81329423 0.27723987 0.26336196 0.32012674 0.26872570 --6.79374389 0.27735837 0.26287669 0.32115549 0.26901088 --6.77419355 0.27747540 0.26241151 0.32219236 0.26930100 --6.75464321 0.27759103 0.26196656 0.32323723 0.26959616 --6.73509286 0.27770537 0.26154199 0.32428998 0.26989644 --6.71554252 0.27781854 0.26113794 0.32535049 0.27020193 --6.69599218 0.27793065 0.26075456 0.32641860 0.27051273 --6.67644184 0.27804182 0.26039201 0.32749418 0.27082893 --6.65689150 0.27815221 0.26005044 0.32857707 0.27115063 --6.63734115 0.27826197 0.25973002 0.32966712 0.27147791 --6.61779081 0.27837124 0.25943090 0.33076416 0.27181089 --6.59824047 0.27848021 0.25915325 0.33186801 0.27214965 --6.57869013 0.27858906 0.25889725 0.33297850 0.27249429 --6.55913978 0.27869798 0.25866306 0.33409544 0.27284492 --6.53958944 0.27880717 0.25845086 0.33521862 0.27320162 --6.52003910 0.27891685 0.25826082 0.33634786 0.27356450 --6.50048876 0.27902726 0.25809313 0.33748292 0.27393366 --6.48093842 0.27913862 0.25794795 0.33862361 0.27430919 --6.46138807 0.27925118 0.25782548 0.22105200 0.27469120 --6.44183773 0.27936521 0.25772589 0.22159093 0.27507979 --6.42228739 0.27948098 0.25764936 0.22213788 0.27547505 --6.40273705 0.27959877 0.25759607 0.22269302 0.27587708 --6.38318671 0.27971888 0.25756620 0.22325651 0.27628599 --6.36363636 0.27984160 0.25755993 0.22382853 0.27670186 --6.34408602 0.27996726 0.25757744 0.22440924 0.27712480 --6.32453568 0.28009616 0.25761891 0.22499883 0.27755490 --6.30498534 0.28022866 0.25768450 0.22559746 0.27799226 --6.28543500 0.28036509 0.25777439 0.22620530 0.27843697 --6.26588465 0.28050581 0.25788874 0.22682253 0.27888913 --6.24633431 0.28065117 0.25802772 0.22744932 0.27934881 --6.22678397 0.28080154 0.25819149 0.22808583 0.27981612 --6.20723363 0.28095730 0.25838019 0.22873224 0.28029113 --6.18768328 0.28111883 0.25859399 0.22938871 0.28077394 --6.16813294 0.28128652 0.25883301 0.23005539 0.28126462 --6.14858260 0.28146076 0.25909739 0.23073246 0.28176325 --6.12903226 0.28164195 0.25938726 0.23142006 0.28226991 --6.10948192 0.28183050 0.25970274 0.23211835 0.28278467 --6.08993157 0.28202680 0.26004394 0.23282747 0.28330760 --6.07038123 0.28223127 0.26041095 0.23354755 0.28383876 --6.05083089 0.28244431 0.26080387 0.23427874 0.28437822 --6.03128055 0.28266633 0.26122278 0.23502115 0.28492603 --6.01173021 0.28289774 0.26166773 0.23577491 0.28548224 --5.99217986 0.28313895 0.26213878 0.23654012 0.28604690 --5.97262952 0.28339035 0.26263598 0.23731689 0.28662005 --5.95307918 0.28365234 0.26315935 0.23810530 0.28720173 --5.93352884 0.28392532 0.26370889 0.23890543 0.28779197 --5.91397849 0.28420967 0.26428461 0.23971736 0.28839080 --5.89442815 0.28450577 0.26488648 0.24054113 0.28899822 --5.87487781 0.28481399 0.26551446 0.24137679 0.28961426 --5.85532747 0.28513468 0.26616849 0.24222438 0.29023892 --5.83577713 0.28546820 0.26684850 0.24308390 0.29087220 --5.81622678 0.28581486 0.26755440 0.24395535 0.29151408 --5.79667644 0.28617500 0.26828606 0.24483872 0.29216456 --5.77712610 0.28654892 0.26904334 0.24573397 0.29282359 --5.75757576 0.28693689 0.26982610 0.24664106 0.29349116 --5.73802542 0.28733919 0.27063415 0.24755991 0.29416722 --5.71847507 0.28775607 0.27146727 0.24849044 0.29485171 --5.69892473 0.28818775 0.27232525 0.24943254 0.29554458 --5.67937439 0.28863444 0.27320784 0.25038609 0.29624576 --5.65982405 0.28909631 0.27411475 0.25135093 0.29695517 --5.64027370 0.28957354 0.27504568 0.25232690 0.29767272 --5.62072336 0.29006624 0.27600031 0.25331381 0.29839832 --5.60117302 0.29057452 0.27697829 0.25431144 0.29913186 --5.58162268 0.29109847 0.27797922 0.25531956 0.29987322 --5.56207234 0.29163813 0.27900271 0.25633792 0.30062228 --5.54252199 0.29219351 0.28004832 0.25736622 0.30137889 --5.52297165 0.29276463 0.28111560 0.25840417 0.30214291 --5.50342131 0.29335143 0.28220405 0.25945144 0.30291419 --5.48387097 0.29395384 0.28331316 0.26050768 0.30369256 --5.46432063 0.29457176 0.28444240 0.26157251 0.30447783 --5.44477028 0.29520506 0.28559119 0.26264553 0.30526982 --5.42521994 0.29585357 0.28675895 0.26372632 0.30606834 --5.40566960 0.29651711 0.28794504 0.26481444 0.30687318 --5.38611926 0.29719542 0.28914883 0.26590941 0.30768412 --5.36656891 0.29788827 0.29036965 0.26701075 0.30850093 --5.34701857 0.29859534 0.29160680 0.26811794 0.30959606 --5.32746823 0.29931632 0.29285957 0.26923045 0.31255914 --5.30791789 0.30005086 0.29412720 0.27034772 0.31560324 --5.28836755 0.30079856 0.29540894 0.27146917 0.31872899 --5.26881720 0.30155902 0.29670400 0.27259421 0.32193695 --5.24926686 0.30233179 0.29801157 0.27372222 0.32522758 --5.22971652 0.30311639 0.29933084 0.27485258 0.32860128 --5.21016618 0.30391234 0.30066094 0.27598463 0.33205837 --5.19061584 0.30471910 0.30200102 0.27711771 0.33559908 --5.17106549 0.30553614 0.30335020 0.27825115 0.33922353 --5.15151515 0.30636288 0.30470760 0.27938424 0.34293178 --5.13196481 0.30719873 0.30607229 0.28051629 0.34672379 --5.11241447 0.30804308 0.30744337 0.28164658 0.35059941 --5.09286413 0.30889530 0.30881991 0.28277439 0.35455840 --5.07331378 0.30975474 0.31020096 0.28389899 0.35860043 --5.05376344 0.31062076 0.31158558 0.28501965 0.36272505 --5.03421310 0.31149268 0.31297283 0.28613561 0.36693173 --5.01466276 0.31236980 0.31436174 0.28724615 0.37121982 --4.99511241 0.31325146 0.31575135 0.28835051 0.37558859 --4.97556207 0.31413694 0.31714072 0.28944794 0.38003717 --4.95601173 0.31502554 0.31852887 0.29053772 0.38456461 --4.93646139 0.31591657 0.31991485 0.29161908 0.38916987 --4.91691105 0.31680931 0.32129770 0.29269131 0.39385177 --4.89736070 0.31770307 0.32267649 0.29375368 0.39860905 --4.87781036 0.31859713 0.32405026 0.29480546 0.40344034 --4.85826002 0.31949082 0.32541809 0.29584595 0.40834419 --4.83870968 0.32038343 0.32677905 0.29687444 0.41331902 --4.81915934 0.32127429 0.32813223 0.29789027 0.41836318 --4.79960899 0.32216274 0.32947674 0.29889274 0.42347491 --4.78005865 0.32304812 0.33081168 0.29988122 0.42865235 --4.76050831 0.32392979 0.33213619 0.30085506 0.43389358 --4.74095797 0.32480712 0.33344941 0.30181365 0.43919656 --4.72140762 0.32567952 0.33475052 0.30275638 0.44455918 --4.70185728 0.32654638 0.33603870 0.30368268 0.44997927 --4.68230694 0.32740716 0.33731315 0.30459200 0.45545454 --4.66275660 0.32826130 0.33857310 0.30548380 0.46098267 --4.64320626 0.32910828 0.33981780 0.30635758 0.46656124 --4.62365591 0.32994760 0.34104652 0.30721284 0.47218778 --4.60410557 0.33077879 0.34225856 0.30804914 0.47785976 --4.58455523 0.33160141 0.34345323 0.30886605 0.48357458 --4.56500489 0.33241502 0.34462988 0.30966315 0.48932962 --4.54545455 0.33321925 0.34578788 0.31044008 0.49512217 --4.52590420 0.33401372 0.34692662 0.31119648 0.50094952 --4.50635386 0.33479809 0.34804554 0.31193203 0.50680889 --4.48680352 0.33557205 0.34914407 0.31264645 0.51269748 --4.46725318 0.33633532 0.35022169 0.31333947 0.51861248 --4.44770283 0.33708765 0.35127791 0.31401085 0.52455103 --4.42815249 0.33782881 0.35231226 0.31466039 0.53051027 --4.40860215 0.33855860 0.35332428 0.31528792 0.53648733 --4.38905181 0.33927686 0.35431358 0.31589329 0.54247930 --4.36950147 0.33998343 0.35527974 0.31647638 0.54848332 --4.34995112 0.34067821 0.35622242 0.31703709 0.55449650 --4.33040078 0.34136111 0.35714127 0.31757537 0.56051596 --4.31085044 0.34203205 0.35803598 0.31809118 0.56653883 --4.29130010 0.34269101 0.35890626 0.31858450 0.57256227 --4.27174976 0.34333796 0.35975186 0.31905537 0.57858345 --4.25219941 0.34397292 0.36057253 0.31950381 0.58459957 --4.23264907 0.34459593 0.36136807 0.31992991 0.59060786 --4.21309873 0.34520703 0.36213827 0.32033374 0.59660557 --4.19354839 0.34580630 0.36288299 0.32071544 0.60259002 --4.17399804 0.34639383 0.36360206 0.32107514 0.60855853 --4.15444770 0.34696975 0.36429536 0.32141299 0.61450850 --4.13489736 0.34753417 0.36496280 0.32172919 0.62043736 --4.11534702 0.34808726 0.36560429 0.32202393 0.62634260 --4.09579668 0.34862917 0.36621977 0.32229745 0.63222176 --4.07624633 0.34916008 0.36680918 0.32254997 0.63807243 --4.05669599 0.34968019 0.36737251 0.32278177 0.64389229 --4.03714565 0.35018970 0.36790973 0.32299311 0.64967904 --4.01759531 0.35068883 0.36842087 0.32318430 0.65543047 --3.99804497 0.35117780 0.36890593 0.32335563 0.66114445 --3.97849462 0.35165685 0.36936495 0.32350743 0.66607967 --3.95894428 0.35212622 0.36979798 0.32364003 0.67088865 --3.93939394 0.35258618 0.37020509 0.32375378 0.67569095 --3.91984360 0.35303697 0.37058635 0.32384905 0.68048353 --3.90029326 0.35347885 0.37094184 0.32392619 0.68526345 --3.88074291 0.35391210 0.37127166 0.32398558 0.69002788 --3.86119257 0.35433698 0.37157593 0.32402762 0.69477409 --3.84164223 0.35475378 0.37185474 0.32405270 0.69949943 --3.82209189 0.35516275 0.37210824 0.32406121 0.70420138 --3.80254154 0.35556419 0.37233655 0.32405358 0.70887750 --3.78299120 0.35595836 0.37253982 0.32403020 0.71352546 --3.76344086 0.35634554 0.37271818 0.32399150 0.71814304 --3.74389052 0.35672600 0.37287180 0.32393791 0.72272810 --3.72434018 0.35710002 0.37300083 0.32386984 0.72727863 --3.70478983 0.35746787 0.37310544 0.32378772 0.73179269 --3.68523949 0.35782980 0.37318579 0.32369198 0.73626848 --3.66568915 0.35818609 0.37324205 0.32358305 0.74070425 --3.64613881 0.35853699 0.37327440 0.32346137 0.74509839 --3.62658847 0.35888275 0.37328302 0.32332736 0.74944936 --3.60703812 0.35922362 0.37326808 0.32318145 0.75375574 --3.58748778 0.35955985 0.37322976 0.32302407 0.75801618 --3.56793744 0.35989167 0.37316825 0.32285564 0.76222942 --3.54838710 0.36021932 0.37308373 0.32267660 0.76639432 --3.52883675 0.36054301 0.37297638 0.32248736 0.77050981 --3.50928641 0.36086296 0.37284639 0.32228834 0.77457490 --3.48973607 0.36117939 0.37269393 0.32207995 0.77858868 --3.47018573 0.36149250 0.37251919 0.32186261 0.78255036 --3.45063539 0.36180248 0.37232235 0.32163672 0.78645919 --3.43108504 0.36210952 0.37210359 0.32140268 0.79031451 --3.41153470 0.36241382 0.37186308 0.32116089 0.79411575 --3.39198436 0.36271553 0.37160101 0.32091174 0.79786239 --3.37243402 0.36301483 0.37131753 0.32065561 0.80155400 --3.35288368 0.36331188 0.37101284 0.32039289 0.80519021 --3.33333333 0.36360682 0.37068708 0.32012395 0.80877072 --3.31378299 0.36389981 0.37034043 0.31984915 0.81229530 --3.29423265 0.36419098 0.36997305 0.31956887 0.81576376 --3.27468231 0.36448046 0.36958509 0.31928344 0.81917600 --3.25513196 0.36476837 0.36917672 0.31899322 0.82253195 --3.23558162 0.36505483 0.36874807 0.31869855 0.82583161 --3.21603128 0.36533994 0.36829930 0.31839976 0.82907504 --3.19648094 0.36562381 0.36783056 0.31809719 0.83226232 --3.17693060 0.36590653 0.36734197 0.31779114 0.83539361 --3.15738025 0.36618819 0.36683367 0.31748193 0.83846910 --3.13782991 0.36646888 0.36630580 0.31716987 0.84148902 --3.11827957 0.36674865 0.36575847 0.31685526 0.84445365 --3.09872923 0.36702760 0.36519182 0.31653838 0.84736331 --3.07917889 0.36730577 0.36460594 0.31621951 0.85021835 --3.05962854 0.36758323 0.36400096 0.31589894 0.85301915 --3.04007820 0.36786002 0.36337697 0.31557693 0.85576614 --3.02052786 0.36813620 0.36273409 0.31525375 0.85845977 --3.00097752 0.36841181 0.36207240 0.31492964 0.86110051 --2.98142717 0.36868687 0.36139199 0.31460485 0.86368888 --2.96187683 0.36896143 0.36069296 0.31427963 0.86622540 --2.94232649 0.36923551 0.35997537 0.31395420 0.86871062 --2.92277615 0.36950913 0.35923931 0.31362880 0.87114513 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0.993582113 0.993505262 0.989671314 +9.843597263 0.993052231 0.993660558 0.993572961 0.989788247 +9.863147605 0.993130943 0.993737915 0.993640397 0.989903667 +9.882697947 0.993208625 0.993814199 0.993707507 0.990017596 +9.902248289 0.993285293 0.993889428 0.993774227 0.990130054 +9.921798631 0.993360962 0.993963617 0.993840495 0.990241062 +9.941348974 0.993435646 0.994036782 0.993906246 0.990350642 +9.960899316 0.993509359 0.994108939 0.993971416 0.990458813 +9.980449658 0.993582116 0.994180103 0.994035940 0.990565596 +10.000000000 0.993653931 0.994250289 0.994099756 0.990671009 diff --git a/examples/tsukamoto/tsukamoto.fll b/examples/tsukamoto/tsukamoto.fll index 29ce437..0437d5d 100644 --- a/examples/tsukamoto/tsukamoto.fll +++ b/examples/tsukamoto/tsukamoto.fll @@ -1,51 +1,52 @@ -Engine: +Engine: tsukamoto InputVariable: X enabled: true range: -10.000 10.000 + lock-range: false term: small Bell -10.000 5.000 3.000 term: medium Bell 0.000 5.000 3.000 term: large Bell 10.000 5.000 3.000 OutputVariable: Ramps enabled: true range: 0.000 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage Automatic default: nan lock-previous: false - lock-range: false term: b Ramp 0.600 0.400 term: a Ramp 0.000 0.250 term: c Ramp 0.700 1.000 OutputVariable: Sigmoids enabled: true range: 0.020 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage Automatic default: nan lock-previous: false - lock-range: false term: b Sigmoid 0.500 -30.000 term: a Sigmoid 0.130 30.000 term: c Sigmoid 0.830 30.000 OutputVariable: ZSShapes enabled: true range: 0.000 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage Automatic default: nan lock-previous: false - lock-range: false term: b ZShape 0.300 0.600 term: a SShape 0.000 0.250 term: c SShape 0.700 1.000 OutputVariable: Concaves enabled: true range: 0.000 1.000 - accumulation: none + lock-range: false + aggregation: none defuzzifier: WeightedAverage Automatic default: nan lock-previous: false - lock-range: false term: b Concave 0.500 0.400 term: a Concave 0.240 0.250 term: c Concave 0.900 1.000 @@ -53,7 +54,8 @@ RuleBlock: enabled: true conjunction: none disjunction: none - activation: none + implication: none + activation: General rule: if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a rule: if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c
\ No newline at end of file diff --git a/examples/tsukamoto/tsukamoto.java b/examples/tsukamoto/tsukamoto.java index e8cc824..f51d968 100644 --- a/examples/tsukamoto/tsukamoto.java +++ b/examples/tsukamoto/tsukamoto.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,80 +13,91 @@ import com.fuzzylite.variable.*; public class tsukamoto{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName(""); +engine.setName("tsukamoto"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("X"); -inputVariable.setRange(-10.000, 10.000); -inputVariable.addTerm(new Bell("small", -10.000, 5.000, 3.000)); -inputVariable.addTerm(new Bell("medium", 0.000, 5.000, 3.000)); -inputVariable.addTerm(new Bell("large", 10.000, 5.000, 3.000)); -engine.addInputVariable(inputVariable); +InputVariable X = new InputVariable(); +X.setName("X"); +X.setDescription(""); +X.setEnabled(true); +X.setRange(-10.000, 10.000); +X.setLockValueInRange(false); +X.addTerm(new Bell("small", -10.000, 5.000, 3.000)); +X.addTerm(new Bell("medium", 0.000, 5.000, 3.000)); +X.addTerm(new Bell("large", 10.000, 5.000, 3.000)); +engine.addInputVariable(X); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("Ramps"); -outputVariable1.setRange(0.000, 1.000); -outputVariable1.fuzzyOutput().setAccumulation(null); -outputVariable1.setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(false); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(new Ramp("b", 0.600, 0.400)); -outputVariable1.addTerm(new Ramp("a", 0.000, 0.250)); -outputVariable1.addTerm(new Ramp("c", 0.700, 1.000)); -engine.addOutputVariable(outputVariable1); +OutputVariable Ramps = new OutputVariable(); +Ramps.setName("Ramps"); +Ramps.setDescription(""); +Ramps.setEnabled(true); +Ramps.setRange(0.000, 1.000); +Ramps.setLockValueInRange(false); +Ramps.setAggregation(null); +Ramps.setDefuzzifier(new WeightedAverage("Automatic")); +Ramps.setDefaultValue(Double.NaN); +Ramps.setLockPreviousValue(false); +Ramps.addTerm(new Ramp("b", 0.600, 0.400)); +Ramps.addTerm(new Ramp("a", 0.000, 0.250)); +Ramps.addTerm(new Ramp("c", 0.700, 1.000)); +engine.addOutputVariable(Ramps); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("Sigmoids"); -outputVariable2.setRange(0.020, 1.000); -outputVariable2.fuzzyOutput().setAccumulation(null); -outputVariable2.setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(false); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(new Sigmoid("b", 0.500, -30.000)); -outputVariable2.addTerm(new Sigmoid("a", 0.130, 30.000)); -outputVariable2.addTerm(new Sigmoid("c", 0.830, 30.000)); -engine.addOutputVariable(outputVariable2); +OutputVariable Sigmoids = new OutputVariable(); +Sigmoids.setName("Sigmoids"); +Sigmoids.setDescription(""); +Sigmoids.setEnabled(true); +Sigmoids.setRange(0.020, 1.000); +Sigmoids.setLockValueInRange(false); +Sigmoids.setAggregation(null); +Sigmoids.setDefuzzifier(new WeightedAverage("Automatic")); +Sigmoids.setDefaultValue(Double.NaN); +Sigmoids.setLockPreviousValue(false); +Sigmoids.addTerm(new Sigmoid("b", 0.500, -30.000)); +Sigmoids.addTerm(new Sigmoid("a", 0.130, 30.000)); +Sigmoids.addTerm(new Sigmoid("c", 0.830, 30.000)); +engine.addOutputVariable(Sigmoids); -OutputVariable outputVariable3 = new OutputVariable(); -outputVariable3.setEnabled(true); -outputVariable3.setName("ZSShapes"); -outputVariable3.setRange(0.000, 1.000); -outputVariable3.fuzzyOutput().setAccumulation(null); -outputVariable3.setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable3.setDefaultValue(Double.NaN); -outputVariable3.setLockPreviousOutputValue(false); -outputVariable3.setLockOutputValueInRange(false); -outputVariable3.addTerm(new ZShape("b", 0.300, 0.600)); -outputVariable3.addTerm(new SShape("a", 0.000, 0.250)); -outputVariable3.addTerm(new SShape("c", 0.700, 1.000)); -engine.addOutputVariable(outputVariable3); +OutputVariable ZSShapes = new OutputVariable(); +ZSShapes.setName("ZSShapes"); +ZSShapes.setDescription(""); +ZSShapes.setEnabled(true); +ZSShapes.setRange(0.000, 1.000); +ZSShapes.setLockValueInRange(false); +ZSShapes.setAggregation(null); +ZSShapes.setDefuzzifier(new WeightedAverage("Automatic")); +ZSShapes.setDefaultValue(Double.NaN); +ZSShapes.setLockPreviousValue(false); +ZSShapes.addTerm(new ZShape("b", 0.300, 0.600)); +ZSShapes.addTerm(new SShape("a", 0.000, 0.250)); +ZSShapes.addTerm(new SShape("c", 0.700, 1.000)); +engine.addOutputVariable(ZSShapes); -OutputVariable outputVariable4 = new OutputVariable(); -outputVariable4.setEnabled(true); -outputVariable4.setName("Concaves"); -outputVariable4.setRange(0.000, 1.000); -outputVariable4.fuzzyOutput().setAccumulation(null); -outputVariable4.setDefuzzifier(new WeightedAverage("Automatic")); -outputVariable4.setDefaultValue(Double.NaN); -outputVariable4.setLockPreviousOutputValue(false); -outputVariable4.setLockOutputValueInRange(false); -outputVariable4.addTerm(new Concave("b", 0.500, 0.400)); -outputVariable4.addTerm(new Concave("a", 0.240, 0.250)); -outputVariable4.addTerm(new Concave("c", 0.900, 1.000)); -engine.addOutputVariable(outputVariable4); +OutputVariable Concaves = new OutputVariable(); +Concaves.setName("Concaves"); +Concaves.setDescription(""); +Concaves.setEnabled(true); +Concaves.setRange(0.000, 1.000); +Concaves.setLockValueInRange(false); +Concaves.setAggregation(null); +Concaves.setDefuzzifier(new WeightedAverage("Automatic")); +Concaves.setDefaultValue(Double.NaN); +Concaves.setLockPreviousValue(false); +Concaves.addTerm(new Concave("b", 0.500, 0.400)); +Concaves.addTerm(new Concave("a", 0.240, 0.250)); +Concaves.addTerm(new Concave("c", 0.900, 1.000)); +engine.addOutputVariable(Concaves); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(null); ruleBlock.setDisjunction(null); -ruleBlock.setActivation(null); +ruleBlock.setImplication(null); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine)); ruleBlock.addRule(Rule.parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine)); ruleBlock.addRule(Rule.parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine)); diff --git a/examples/tsukamoto/tsukamoto.pdf b/examples/tsukamoto/tsukamoto.pdf Binary files differnew file mode 100644 index 0000000..9c4f375 --- /dev/null +++ b/examples/tsukamoto/tsukamoto.pdf |