diff options
Diffstat (limited to 'examples/mamdani')
64 files changed, 10145 insertions, 6749 deletions
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 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b/examples/mamdani/AllTerms.fll index 58d5705..4db1b32 100644 --- a/examples/mamdani/AllTerms.fll +++ b/examples/mamdani/AllTerms.fll @@ -1,7 +1,8 @@ -Engine: qtfuzzylite +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 @@ -25,11 +26,11 @@ InputVariable: 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 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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] +NumMFs=2 +MF1='left':'rampmf',[1.000 0.000] +MF2='right':'rampmf',[0.000 1.000] + +[Rules] +1.000 , 2.000 (1.000) : 1 +2.000 , 1.000 (1.000) : 1 diff --git a/examples/mamdani/ObstacleAvoidance.fld b/examples/mamdani/ObstacleAvoidance.fld new file mode 100644 index 0000000..ec259dd --- /dev/null +++ b/examples/mamdani/ObstacleAvoidance.fld @@ -0,0 +1,1025 @@ +obstacle mSteer +0.000000000 0.666650000 +0.000977517 0.666650000 +0.001955034 0.666650000 +0.002932551 0.666650000 +0.003910068 0.666650000 +0.004887586 0.666650000 +0.005865103 0.666638485 +0.006842620 0.666625450 +0.007820137 0.666612389 +0.008797654 0.666599303 +0.009775171 0.666586193 +0.010752688 0.666573056 +0.011730205 0.666559894 +0.012707722 0.666546707 +0.013685239 0.666533494 +0.014662757 0.666520255 +0.015640274 0.666498518 +0.016617791 0.666472271 +0.017595308 0.666445974 +0.018572825 0.666419626 +0.019550342 0.666393229 +0.020527859 0.666366781 +0.021505376 0.666340282 +0.022482893 0.666313732 +0.023460411 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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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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 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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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7.096774194 19.999997043 1.199999970 +8.548387097 7.387096774 19.999997043 1.199999970 +8.548387097 7.677419355 19.999997043 1.199999970 +8.548387097 7.967741935 19.999997043 1.199999970 +8.548387097 8.258064516 19.999997043 1.199999970 +8.548387097 8.548387097 19.999997043 1.199999970 +8.548387097 8.838709677 19.999997043 1.199999970 +8.548387097 9.129032258 19.999997043 1.199999970 +8.548387097 9.419354839 19.999997043 1.199999970 +8.548387097 9.709677419 19.999997043 1.199999970 +8.548387097 10.000000000 19.999997043 1.199999970 +8.838709677 1.000000000 15.000000000 1.150000000 +8.838709677 1.290322581 15.000000000 1.150000000 +8.838709677 1.580645161 15.000000000 1.150000000 +8.838709677 1.870967742 15.000000000 1.150000000 +8.838709677 2.161290323 15.000000000 1.150000000 +8.838709677 2.451612903 15.000000000 1.150000000 +8.838709677 2.741935484 15.000000000 1.150000000 +8.838709677 3.032258065 15.103574890 1.151035749 +8.838709677 3.322580645 15.708449495 1.157084495 +8.838709677 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 |