diff options
| author | Johannes Schauer <josch@debian.org> | 2015-07-07 11:12:00 +0200 |
|---|---|---|
| committer | Johannes Schauer <josch@debian.org> | 2015-07-07 11:12:00 +0200 |
| commit | d210b3addc8ffed7214afd8c7882e700fbcc38c5 (patch) | |
| tree | ded15607f7f24f83d2d0d7c542265c0a97af577a /examples/mamdani/octave | |
fuzzylite (5.1+dfsg-1) unstable; urgency=medium
* new upstream version (Closes: #777858)
* removed debian/patches/20140705-minor-improvements-on-building-script as
upstream integrated it. Adjust build options in d/rules accordingly.
* delete debian/patches/20140714-building-from-objects-just-once and
debian/patches/20141027-fix-some-spelling as they have been applied
upstream
* install usr/lib/*/pkgconfig/fuzzylite.pc in fuzzylite-dev
* SONAME bump from 5.0 to 5.1, so renaming libfuzzylite5.0 to
libfuzzylite5.1
* add debian/patches/pkgconfig_installdir to install pkgconfig file in
correct location
# imported from the archive
Diffstat (limited to 'examples/mamdani/octave')
| -rw-r--r-- | examples/mamdani/octave/COPYING | 674 | ||||
| -rw-r--r-- | examples/mamdani/octave/DESCRIPTION | 12 | ||||
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.cpp | 52 | ||||
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.fcl | 44 | ||||
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.fis | 39 | ||||
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.fld | 1026 | ||||
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.fll | 31 | ||||
| -rw-r--r-- | examples/mamdani/octave/investment_portfolio.java | 62 | ||||
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.cpp | 66 | ||||
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.fcl | 55 | ||||
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.fis | 47 | ||||
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.fld | 1026 | ||||
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.fll | 42 | ||||
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.java | 76 |
14 files changed, 3252 insertions, 0 deletions
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It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + <one line to give the program's name and a brief idea of what it does.> + Copyright (C) <year> <name of author> + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see <http://www.gnu.org/licenses/>. + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + <program> Copyright (C) <year> <name of author> + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +<http://www.gnu.org/licenses/>. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +<http://www.gnu.org/philosophy/why-not-lgpl.html>. diff --git a/examples/mamdani/octave/DESCRIPTION b/examples/mamdani/octave/DESCRIPTION new file mode 100644 index 0000000..35df57d --- /dev/null +++ b/examples/mamdani/octave/DESCRIPTION @@ -0,0 +1,12 @@ +Name: fuzzy-logic-toolkit +Version: 0.4.2 +Date: 2012-10-02 +Author: L. Markowsky <lmarkov@users.sourceforge.net> +Maintainer: L. Markowsky <lmarkov@users.sourceforge.net> +Title: Octave Fuzzy Logic Toolkit +Description: A mostly MATLAB-compatible fuzzy logic toolkit for Octave. +Depends: octave (>= 3.2.4) +Autoload: no +License: GPLv3+ +Url: http://octave.sf.net + http://sf.net/projects/octave-fuzzy diff --git a/examples/mamdani/octave/investment_portfolio.cpp b/examples/mamdani/octave/investment_portfolio.cpp new file mode 100644 index 0000000..9ccadc9 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.cpp @@ -0,0 +1,52 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +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); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +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)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/octave/investment_portfolio.fcl b/examples/mamdani/octave/investment_portfolio.fcl new file mode 100644 index 0000000..590ab3b --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fcl @@ -0,0 +1,44 @@ +FUNCTION_BLOCK Investment-Portfolio + +VAR_INPUT + Age: REAL; + RiskTolerance: REAL; +END_VAR + +VAR_OUTPUT + PercentageInStocks: REAL; +END_VAR + +FUZZIFY Age + RANGE := (20.000 .. 100.000); + TERM Young := ZShape 30.000 90.000; + TERM Old := SShape 30.000 90.000; +END_FUZZIFY + +FUZZIFY RiskTolerance + RANGE := (0.000 .. 10.000); + TERM Low := ZShape 2.000 8.000; + TERM High := SShape 2.000 8.000; +END_FUZZIFY + +DEFUZZIFY PercentageInStocks + RANGE := (0.000 .. 100.000); + TERM AboutFifteen := Gaussian 15.000 10.000; + TERM AboutFifty := Gaussian 50.000 10.000; + TERM AboutEightyFive := Gaussian 85.000 10.000; + METHOD : COG; + ACCU : ESUM; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : EPROD; + OR : ESUM; + ACT : EPROD; + RULE 1 : if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive + RULE 2 : if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen + RULE 3 : if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 + RULE 4 : if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500 +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/octave/investment_portfolio.fis b/examples/mamdani/octave/investment_portfolio.fis new file mode 100644 index 0000000..311e728 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fis @@ -0,0 +1,39 @@ +[System] +Name='Investment-Portfolio' +Type='mamdani' +NumInputs=2 +NumOutputs=1 +NumRules=4 +AndMethod='einstein_product' +OrMethod='einstein_sum' +ImpMethod='einstein_product' +AggMethod='einstein_sum' +DefuzzMethod='centroid' + +[Input1] +Name='Age' +Range=[20.000 100.000] +NumMFs=2 +MF1='Young':'zmf',[30.000 90.000] +MF2='Old':'smf',[30.000 90.000] + +[Input2] +Name='RiskTolerance' +Range=[0.000 10.000] +NumMFs=2 +MF1='Low':'zmf',[2.000 8.000] +MF2='High':'smf',[2.000 8.000] + +[Output1] +Name='PercentageInStocks' +Range=[0.000 100.000] +NumMFs=3 +MF1='AboutFifteen':'gaussmf',[10.000 15.000] +MF2='AboutFifty':'gaussmf',[10.000 50.000] +MF3='AboutEightyFive':'gaussmf',[10.000 85.000] + +[Rules] +1.000 2.000 , 3.000 (1.000) : 2 +2.000 1.000 , 1.000 (1.000) : 2 +-2.300 -1.300 , 2.000 (0.500) : 1 +-1.300 -2.300 , 2.000 (0.500) : 1 diff --git a/examples/mamdani/octave/investment_portfolio.fld b/examples/mamdani/octave/investment_portfolio.fld new file mode 100644 index 0000000..648b0be --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fld @@ -0,0 +1,1026 @@ +#@Engine: Investment-Portfolio; +#@InputVariable: Age; @InputVariable: RiskTolerance; @OutputVariable: PercentageInStocks; +20.00000000 0.00000000 50.00000000 +20.00000000 0.32258065 50.00000000 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a/examples/mamdani/octave/investment_portfolio.fll b/examples/mamdani/octave/investment_portfolio.fll new file mode 100644 index 0000000..4bb14e1 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fll @@ -0,0 +1,31 @@ +Engine: Investment-Portfolio +InputVariable: Age + enabled: true + range: 20.000 100.000 + term: Young ZShape 30.000 90.000 + term: Old SShape 30.000 90.000 +InputVariable: RiskTolerance + enabled: true + range: 0.000 10.000 + 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 + 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 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: EinsteinSum + activation: EinsteinProduct + 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 diff --git a/examples/mamdani/octave/investment_portfolio.java b/examples/mamdani/octave/investment_portfolio.java new file mode 100644 index 0000000..09084f1 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.java @@ -0,0 +1,62 @@ +import com.fuzzylite.*; +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 investment_portfolio{ +public static void main(String[] args){ +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); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new EinsteinProduct()); +ruleBlock.setDisjunction(new EinsteinSum()); +ruleBlock.setActivation(new EinsteinProduct()); +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/mamdani_tip_calculator.cpp b/examples/mamdani/octave/mamdani_tip_calculator.cpp new file mode 100644 index 0000000..cd57bf7 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.cpp @@ -0,0 +1,66 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Mamdani-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* 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* 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); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +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)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fcl b/examples/mamdani/octave/mamdani_tip_calculator.fcl new file mode 100644 index 0000000..3ea903a --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fcl @@ -0,0 +1,55 @@ +FUNCTION_BLOCK Mamdani-Tip-Calculator + +VAR_INPUT + FoodQuality: REAL; + Service: REAL; +END_VAR + +VAR_OUTPUT + Tip: REAL; + CheckPlusTip: REAL; +END_VAR + +FUZZIFY FoodQuality + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +FUZZIFY Service + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +DEFUZZIFY Tip + RANGE := (0.000 .. 30.000); + TERM AboutTenPercent := Gaussian 10.000 2.000; + TERM AboutFifteenPercent := Gaussian 15.000 2.000; + TERM AboutTwentyPercent := Gaussian 20.000 2.000; + METHOD : COG; + ACCU : ASUM; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY CheckPlusTip + RANGE := (1.000 .. 1.300); + TERM PlusAboutTenPercent := Gaussian 1.100 0.020; + TERM PlusAboutFifteenPercent := Gaussian 1.150 0.020; + TERM PlusAboutTwentyPercent := Gaussian 1.200 0.020; + METHOD : COG; + ACCU : ASUM; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : PROD; + OR : MAX; + ACT : MIN; + RULE 1 : if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent + RULE 2 : if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + RULE 3 : if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + RULE 4 : if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fis b/examples/mamdani/octave/mamdani_tip_calculator.fis new file mode 100644 index 0000000..42cf1df --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fis @@ -0,0 +1,47 @@ +[System] +Name='Mamdani-Tip-Calculator' +Type='mamdani' +NumInputs=2 +NumOutputs=2 +NumRules=4 +AndMethod='prod' +OrMethod='max' +ImpMethod='min' +AggMethod='sum' +DefuzzMethod='centroid' + +[Input1] +Name='FoodQuality' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Input2] +Name='Service' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Output1] +Name='Tip' +Range=[0.000 30.000] +NumMFs=3 +MF1='AboutTenPercent':'gaussmf',[2.000 10.000] +MF2='AboutFifteenPercent':'gaussmf',[2.000 15.000] +MF3='AboutTwentyPercent':'gaussmf',[2.000 20.000] + +[Output2] +Name='CheckPlusTip' +Range=[1.000 1.300] +NumMFs=3 +MF1='PlusAboutTenPercent':'gaussmf',[0.020 1.100] +MF2='PlusAboutFifteenPercent':'gaussmf',[0.020 1.150] +MF3='PlusAboutTwentyPercent':'gaussmf',[0.020 1.200] + +[Rules] +1.000 1.000 , 1.000 1.000 (1.000) : 1 +1.000 2.000 , 2.000 2.000 (1.000) : 1 +2.000 1.000 , 2.000 2.000 (1.000) : 1 +2.000 2.000 , 3.000 3.000 (1.000) : 1 diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fld b/examples/mamdani/octave/mamdani_tip_calculator.fld new file mode 100644 index 0000000..9d54109 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fld @@ -0,0 +1,1026 @@ +#@Engine: Mamdani-Tip-Calculator; +#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: Tip; @OutputVariable: CheckPlusTip; +1.00000000 1.00000000 10.00000296 1.10000003 +1.00000000 1.29032258 10.00000296 1.10000003 +1.00000000 1.58064516 10.00000296 1.10000003 +1.00000000 1.87096774 10.00000296 1.10000003 +1.00000000 2.16129032 10.00000296 1.10000003 +1.00000000 2.45161290 10.00000296 1.10000003 +1.00000000 2.74193548 10.00000296 1.10000003 +1.00000000 3.03225806 10.10361204 1.10103612 +1.00000000 3.32258065 10.70846739 1.10708467 +1.00000000 3.61290323 11.13394556 1.11133946 +1.00000000 3.90322581 11.47924881 1.11479249 +1.00000000 4.19354839 11.77837052 1.11778371 +1.00000000 4.48387097 12.05010492 1.12050105 +1.00000000 4.77419355 12.30576276 1.12305763 +1.00000000 5.06451613 12.55517544 1.12555175 +1.00000000 5.35483871 12.80665986 1.12806660 +1.00000000 5.64516129 13.06809323 1.13068093 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1.19524964 +10.00000000 7.09677419 19.99999704 1.19999997 +10.00000000 7.38709677 19.99999704 1.19999997 +10.00000000 7.67741935 19.99999704 1.19999997 +10.00000000 7.96774194 19.99999704 1.19999997 +10.00000000 8.25806452 19.99999704 1.19999997 +10.00000000 8.54838710 19.99999704 1.19999997 +10.00000000 8.83870968 19.99999704 1.19999997 +10.00000000 9.12903226 19.99999704 1.19999997 +10.00000000 9.41935484 19.99999704 1.19999997 +10.00000000 9.70967742 19.99999704 1.19999997 +10.00000000 10.00000000 19.99999704 1.19999997 diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fll b/examples/mamdani/octave/mamdani_tip_calculator.fll new file mode 100644 index 0000000..b6c1920 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fll @@ -0,0 +1,42 @@ +Engine: Mamdani-Tip-Calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + 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 + 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 + 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 + 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 +RuleBlock: + enabled: true + conjunction: AlgebraicProduct + disjunction: Maximum + activation: Minimum + 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 diff --git a/examples/mamdani/octave/mamdani_tip_calculator.java b/examples/mamdani/octave/mamdani_tip_calculator.java new file mode 100644 index 0000000..bea319b --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.java @@ -0,0 +1,76 @@ +import com.fuzzylite.*; +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 mamdani_tip_calculator{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Mamdani-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 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 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); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new AlgebraicProduct()); +ruleBlock.setDisjunction(new Maximum()); +ruleBlock.setActivation(new Minimum()); +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); + + +} +} |