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Diffstat (limited to 'examples')
111 files changed, 21267 insertions, 0 deletions
diff --git a/examples/README.md b/examples/README.md new file mode 100644 index 0000000..6525a9a --- /dev/null +++ b/examples/README.md @@ -0,0 +1,13 @@ +Disclaimer +========== + +The following folders contain examples from Matlab and Octave distributions. The examples are presented in the following formats: fuzzylite v5.0 `.cpp`, jfuzzylite v5.0 `.java`, FuzzyLite Language `.fll`, FuzzyLite Dataset `.fld`, Fuzzy Inference System `.fis`, and Fuzzy Controller Language `.fcl`. The formats were created automatically utilizing the `[Cpp|Java|Fll|Fld|Fis|Fcl]Exporter`. + +The original files from Matlab and Octave distributions are contained within the folder `original`, although the following files from Matlab were modified to remove the fourth parameter of the term `gbellmf`, which is not required for its configuration. + ++ [`examples/original/mamdani/matlab/mam21.fis`](/examples/original/mamdani/matlab/mam21.fis) + ++ [`examples/original/mamdani/matlab/mam22.fis`](/examples/original/mamdani/matlab/mam22.fis) + +In addition to the original examples, the examples are presented in the FuzzyLite Language to include scalar values with at least the same number of decimal places, and a proper configuration in the cases of Takagi-Sugeno controllers (i.e., `RuleBlock::activation = none` and `OutputVariable::accumulation = none`) to satisfy the regular operation of the controllers in `fuzzylite` v5.0. + diff --git a/examples/examples.mat b/examples/examples.mat Binary files differnew file mode 100755 index 0000000..5955fbd --- /dev/null +++ b/examples/examples.mat diff --git a/examples/mamdani/AllTerms.cpp b/examples/mamdani/AllTerms.cpp new file mode 100644 index 0000000..7bb1f31 --- /dev/null +++ b/examples/mamdani/AllTerms.cpp @@ -0,0 +1,95 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("qtfuzzylite"); + +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); + +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); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +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)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/AllTerms.fcl b/examples/mamdani/AllTerms.fcl new file mode 100644 index 0000000..ef08722 --- /dev/null +++ b/examples/mamdani/AllTerms.fcl @@ -0,0 +1,88 @@ +FUNCTION_BLOCK qtfuzzylite + +VAR_INPUT + AllInputTerms: REAL; +END_VAR + +VAR_OUTPUT + AllOutputTerms: REAL; +END_VAR + +FUZZIFY AllInputTerms + RANGE := (0.000 .. 6.500); + 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 := (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; +END_FUZZIFY + +DEFUZZIFY AllOutputTerms + RANGE := (0.000 .. 6.500); + 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 := (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; + METHOD : COG; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : MIN; + OR : MAX; + ACT : MIN; + RULE 1 : if AllInputTerms is A then AllOutputTerms is T + RULE 2 : if AllInputTerms is B then AllOutputTerms is S + RULE 3 : if AllInputTerms is C then AllOutputTerms is R + RULE 4 : if AllInputTerms is D then AllOutputTerms is Q + RULE 5 : if AllInputTerms is E then AllOutputTerms is P + RULE 6 : if AllInputTerms is F then AllOutputTerms is O + RULE 7 : if AllInputTerms is G then AllOutputTerms is N + RULE 8 : if AllInputTerms is H then AllOutputTerms is M + RULE 9 : if AllInputTerms is I then AllOutputTerms is L + RULE 10 : if AllInputTerms is J then AllOutputTerms is K + RULE 11 : if AllInputTerms is K then AllOutputTerms is J + RULE 12 : if AllInputTerms is L then AllOutputTerms is I + RULE 13 : if AllInputTerms is M then AllOutputTerms is H + RULE 14 : if AllInputTerms is N then AllOutputTerms is G + RULE 15 : if AllInputTerms is O then AllOutputTerms is F + RULE 16 : if AllInputTerms is P then AllOutputTerms is E + RULE 17 : if AllInputTerms is Q then AllOutputTerms is D + RULE 18 : if AllInputTerms is R then AllOutputTerms is C + RULE 19 : if AllInputTerms is S then AllOutputTerms is B + RULE 20 : if AllInputTerms is T then AllOutputTerms is A +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/AllTerms.fis b/examples/mamdani/AllTerms.fis new file mode 100644 index 0000000..61a6d18 --- /dev/null +++ b/examples/mamdani/AllTerms.fis @@ -0,0 +1,83 @@ +[System] +Name='qtfuzzylite' +Type='mamdani' +NumInputs=1 +NumOutputs=1 +NumRules=20 +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='AllInputTerms' +Range=[0.000 6.500] +NumMFs=20 +MF1='A':'sigmf',[-20.000 0.500] +MF2='B':'zmf',[0.000 1.000] +MF3='C':'rampmf',[1.000 0.000] +MF4='D':'trimf',[0.500 1.000 1.500] +MF5='E':'trapmf',[1.000 1.250 1.750 2.000] +MF6='F':'concavemf',[0.850 0.250] +MF7='G':'rectmf',[1.750 2.250] +MF8='H':'discretemf',[2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000] +MF9='I':'gaussmf',[0.200 3.000] +MF10='J':'cosinemf',[3.250 0.650] +MF11='K':'gauss2mf',[0.100 3.500 0.300 3.300] +MF12='L':'spikemf',[3.640 1.040] +MF13='M':'gbellmf',[0.250 3.000 4.000] +MF14='N':'pimf',[4.000 4.500 4.500 5.000] +MF15='O':'concavemf',[5.650 6.250] +MF16='P':'dsigmf',[10.000 4.750 30.000 5.250] +MF17='Q':'psigmf',[20.000 5.250 -10.000 5.750] +MF18='R':'rampmf',[5.500 6.500] +MF19='S':'smf',[5.500 6.500] +MF20='T':'sigmf',[20.000 6.000] + +[Output1] +Name='AllOutputTerms' +Range=[0.000 6.500] +NumMFs=20 +MF1='A':'sigmf',[-20.000 0.500] +MF2='B':'zmf',[0.000 1.000] +MF3='C':'rampmf',[1.000 0.000] +MF4='D':'trimf',[0.500 1.000 1.500] +MF5='E':'trapmf',[1.000 1.250 1.750 2.000] +MF6='F':'concavemf',[0.850 0.250] +MF7='G':'rectmf',[1.750 2.250] +MF8='H':'discretemf',[2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000] +MF9='I':'gaussmf',[0.200 3.000] +MF10='J':'cosinemf',[3.250 0.650] +MF11='K':'gauss2mf',[0.100 3.500 0.300 3.300] +MF12='L':'spikemf',[3.640 1.040] +MF13='M':'gbellmf',[0.250 3.000 4.000] +MF14='N':'pimf',[4.000 4.500 4.500 5.000] +MF15='O':'concavemf',[5.650 6.250] +MF16='P':'dsigmf',[10.000 4.750 30.000 5.250] +MF17='Q':'psigmf',[20.000 5.250 -10.000 5.750] +MF18='R':'rampmf',[5.500 6.500] +MF19='S':'smf',[5.500 6.500] +MF20='T':'sigmf',[20.000 6.000] + +[Rules] +1.000 , 20.000 (1.000) : 1 +2.000 , 19.000 (1.000) : 1 +3.000 , 18.000 (1.000) : 1 +4.000 , 17.000 (1.000) : 1 +5.000 , 16.000 (1.000) : 1 +6.000 , 15.000 (1.000) : 1 +7.000 , 14.000 (1.000) : 1 +8.000 , 13.000 (1.000) : 1 +9.000 , 12.000 (1.000) : 1 +10.000 , 11.000 (1.000) : 1 +11.000 , 10.000 (1.000) : 1 +12.000 , 9.000 (1.000) : 1 +13.000 , 8.000 (1.000) : 1 +14.000 , 7.000 (1.000) : 1 +15.000 , 6.000 (1.000) : 1 +16.000 , 5.000 (1.000) : 1 +17.000 , 4.000 (1.000) : 1 +18.000 , 3.000 (1.000) : 1 +19.000 , 2.000 (1.000) : 1 +20.000 , 1.000 (1.000) : 1 diff --git a/examples/mamdani/AllTerms.fld b/examples/mamdani/AllTerms.fld new file mode 100644 index 0000000..95116fa --- /dev/null +++ b/examples/mamdani/AllTerms.fld @@ -0,0 +1,1026 @@ +#@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 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b/examples/mamdani/AllTerms.fll @@ -0,0 +1,77 @@ +Engine: qtfuzzylite +InputVariable: AllInputTerms + enabled: true + range: 0.000 6.500 + 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 + accumulation: 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 + 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 + activation: Minimum + 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
\ No newline at end of file diff --git a/examples/mamdani/AllTerms.java b/examples/mamdani/AllTerms.java new file mode 100644 index 0000000..c59f9a1 --- /dev/null +++ b/examples/mamdani/AllTerms.java @@ -0,0 +1,105 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class AllTerms{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("qtfuzzylite"); + +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); + +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); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new Minimum()); +ruleBlock.setDisjunction(new Maximum()); +ruleBlock.setActivation(new Minimum()); +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/Laundry.cpp b/examples/mamdani/Laundry.cpp new file mode 100644 index 0000000..7fbcb11 --- /dev/null +++ b/examples/mamdani/Laundry.cpp @@ -0,0 +1,67 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Laundry"); + +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* 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); + +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* 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); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +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)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/Laundry.fcl b/examples/mamdani/Laundry.fcl new file mode 100644 index 0000000..a5d5380 --- /dev/null +++ b/examples/mamdani/Laundry.fcl @@ -0,0 +1,56 @@ +FUNCTION_BLOCK Laundry + +VAR_INPUT + Load: REAL; + Dirt: REAL; +END_VAR + +VAR_OUTPUT + Detergent: REAL; + Cycle: REAL; +END_VAR + +FUZZIFY Load + RANGE := (0.000 .. 6.000); + TERM small := (0.000, 1.000) (1.000, 1.000) (2.000, 0.800) (5.000, 0.000); + TERM normal := (3.000, 0.000) (4.000, 1.000) (6.000, 0.000); +END_FUZZIFY + +FUZZIFY Dirt + RANGE := (0.000 .. 6.000); + TERM low := (0.000, 1.000) (2.000, 0.800) (5.000, 0.000); + TERM high := (1.000, 0.000) (2.000, 0.200) (4.000, 0.800) (6.000, 1.000); +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); + METHOD : MM; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY Cycle + RANGE := (0.000 .. 20.000); + TERM short := (0.000, 1.000) (10.000, 1.000) (20.000, 0.000); + TERM long := (10.000, 0.000) (20.000, 1.000); + METHOD : MM; + ACCU : MAX; + DEFAULT := nan; +END_DEFUZZIFY + +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 +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/Laundry.fld b/examples/mamdani/Laundry.fld new file mode 100644 index 0000000..f72dfb6 --- /dev/null +++ b/examples/mamdani/Laundry.fld @@ -0,0 +1,1026 @@ +#@Engine: Laundry; +#@InputVariable: Load; @InputVariable: Dirt; @OutputVariable: Detergent; @OutputVariable: Cycle; +0.00000000 0.00000000 39.92000000 5.00000000 +0.00000000 0.19354839 39.92000000 5.00000000 +0.00000000 0.38709677 39.92000000 5.00000000 +0.00000000 0.58064516 39.92000000 5.00000000 +0.00000000 0.77419355 39.92000000 5.00000000 +0.00000000 0.96774194 39.92000000 5.00000000 +0.00000000 1.16129032 39.68000000 5.16000000 +0.00000000 1.35483871 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0.000 4.000 1.000 6.000 0.000 +InputVariable: Dirt + enabled: true + range: 0.000 6.000 + 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 + 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 +OutputVariable: Cycle + enabled: true + range: 0.000 20.000 + accumulation: 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 diff --git a/examples/mamdani/Laundry.java b/examples/mamdani/Laundry.java new file mode 100644 index 0000000..d45e77e --- /dev/null +++ b/examples/mamdani/Laundry.java @@ -0,0 +1,77 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class Laundry{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Laundry"); + +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 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); + +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 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); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +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)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/mamdani/SimpleDimmer.cpp b/examples/mamdani/SimpleDimmer.cpp new file mode 100644 index 0000000..b4c6897 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.cpp @@ -0,0 +1,44 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +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); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +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)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/SimpleDimmer.fcl b/examples/mamdani/SimpleDimmer.fcl new file mode 100644 index 0000000..a9b9552 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.fcl @@ -0,0 +1,35 @@ +FUNCTION_BLOCK simple-dimmer + +VAR_INPUT + Ambient: REAL; +END_VAR + +VAR_OUTPUT + Power: 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 + +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 +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/SimpleDimmer.fis b/examples/mamdani/SimpleDimmer.fis new file mode 100644 index 0000000..40ac849 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.fis @@ -0,0 +1,32 @@ +[System] +Name='simple-dimmer' +Type='mamdani' +NumInputs=1 +NumOutputs=1 +NumRules=3 +AndMethod='' +OrMethod='' +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] + +[Rules] +1.000 , 3.000 (1.000) : 1 +2.000 , 2.000 (1.000) : 1 +3.000 , 1.000 (1.000) : 1 diff --git a/examples/mamdani/SimpleDimmer.fld b/examples/mamdani/SimpleDimmer.fld new file mode 100644 index 0000000..4d9a671 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.fld @@ -0,0 +1,1026 @@ +#@Engine: simple-dimmer; +#@InputVariable: Ambient; @OutputVariable: Power; +0.00000000 nan +0.00097752 0.75000000 +0.00195503 0.75000000 +0.00293255 0.75000000 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0.25000000 +0.98240469 0.25000000 +0.98338221 0.25000000 +0.98435973 0.25000000 +0.98533724 0.25000000 +0.98631476 0.25000000 +0.98729228 0.25000000 +0.98826979 0.25000000 +0.98924731 0.25000000 +0.99022483 0.25000000 +0.99120235 0.25000000 +0.99217986 0.25000000 +0.99315738 0.25000000 +0.99413490 0.25000000 +0.99511241 0.25000000 +0.99608993 0.25000000 +0.99706745 0.25000000 +0.99804497 0.25000000 +0.99902248 0.25000000 +1.00000000 nan diff --git a/examples/mamdani/SimpleDimmer.fll b/examples/mamdani/SimpleDimmer.fll new file mode 100644 index 0000000..3a4f8f9 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.fll @@ -0,0 +1,26 @@ +Engine: simple-dimmer +InputVariable: Ambient + enabled: true + 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 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + accumulation: 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 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: Minimum + 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 new file mode 100644 index 0000000..1846722 --- /dev/null +++ b/examples/mamdani/SimpleDimmer.java @@ -0,0 +1,54 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class SimpleDimmer{ +public static void main(String[] args){ +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(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); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(new Minimum()); +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/SimpleDimmerChained.fll b/examples/mamdani/SimpleDimmerChained.fll new file mode 100644 index 0000000..fd6b945 --- /dev/null +++ b/examples/mamdani/SimpleDimmerChained.fll @@ -0,0 +1,40 @@ +Engine: simple-dimmer +InputVariable: Ambient + enabled: true + 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 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + accumulation: 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 + 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 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: Minimum + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW + rule: if Power is LOW then InversePower is HIGH + rule: if Power is MEDIUM then InversePower is MEDIUM + rule: if Power is HIGH then InversePower is LOW
\ No newline at end of file diff --git a/examples/mamdani/SimpleDimmerInverse.cpp b/examples/mamdani/SimpleDimmerInverse.cpp new file mode 100644 index 0000000..cad1100 --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.cpp @@ -0,0 +1,61 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +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); + +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)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/SimpleDimmerInverse.fcl b/examples/mamdani/SimpleDimmerInverse.fcl new file mode 100644 index 0000000..337bc2b --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.fcl @@ -0,0 +1,49 @@ +FUNCTION_BLOCK simple-dimmer + +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/SimpleDimmerInverse.fld b/examples/mamdani/SimpleDimmerInverse.fld new file mode 100644 index 0000000..45373fa --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.fld @@ -0,0 +1,1026 @@ +#@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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0.25000000 0.78865750 +0.98435973 0.25000000 0.78825020 +0.98533724 0.25000000 0.78781850 +0.98631476 0.25000000 0.78739050 +0.98729228 0.25000000 0.78694035 +0.98826979 0.25000000 0.78646407 +0.98924731 0.25000000 0.78597481 +0.99022483 0.25000000 0.78546981 +0.99120235 0.25000000 0.78493388 +0.99217986 0.25000000 0.78436450 +0.99315738 0.25000000 0.78375795 +0.99413490 0.25000000 0.78310826 +0.99511241 0.25000000 0.78240496 +0.99608993 0.25000000 0.78162741 +0.99706745 0.25000000 0.78072789 +0.99804497 0.25000000 0.77969339 +0.99902248 0.25000000 0.77832850 +1.00000000 nan nan diff --git a/examples/mamdani/SimpleDimmerInverse.fll b/examples/mamdani/SimpleDimmerInverse.fll new file mode 100644 index 0000000..fd6b945 --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.fll @@ -0,0 +1,40 @@ +Engine: simple-dimmer +InputVariable: Ambient + enabled: true + 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 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + accumulation: 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 + 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 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: Minimum + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW + rule: if Power is LOW then InversePower is HIGH + rule: if Power is MEDIUM then InversePower is MEDIUM + rule: if Power is HIGH then InversePower is LOW
\ No newline at end of file diff --git a/examples/mamdani/SimpleDimmerInverse.java b/examples/mamdani/SimpleDimmerInverse.java new file mode 100644 index 0000000..0bdde89 --- /dev/null +++ b/examples/mamdani/SimpleDimmerInverse.java @@ -0,0 +1,71 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class SimpleDimmerInverse{ +public static void main(String[] args){ +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(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 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); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(new Minimum()); +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/octave/COPYING b/examples/mamdani/octave/COPYING new file mode 100644 index 0000000..94a9ed0 --- /dev/null +++ b/examples/mamdani/octave/COPYING @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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But first, please read +<http://www.gnu.org/philosophy/why-not-lgpl.html>. diff --git a/examples/mamdani/octave/DESCRIPTION b/examples/mamdani/octave/DESCRIPTION new file mode 100644 index 0000000..35df57d --- /dev/null +++ b/examples/mamdani/octave/DESCRIPTION @@ -0,0 +1,12 @@ +Name: fuzzy-logic-toolkit +Version: 0.4.2 +Date: 2012-10-02 +Author: L. Markowsky <lmarkov@users.sourceforge.net> +Maintainer: L. Markowsky <lmarkov@users.sourceforge.net> +Title: Octave Fuzzy Logic Toolkit +Description: A mostly MATLAB-compatible fuzzy logic toolkit for Octave. +Depends: octave (>= 3.2.4) +Autoload: no +License: GPLv3+ +Url: http://octave.sf.net + http://sf.net/projects/octave-fuzzy diff --git a/examples/mamdani/octave/investment_portfolio.cpp b/examples/mamdani/octave/investment_portfolio.cpp new file mode 100644 index 0000000..9ccadc9 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.cpp @@ -0,0 +1,52 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Investment-Portfolio"); + +InputVariable* inputVariable1 = new InputVariable; +inputVariable1->setEnabled(true); +inputVariable1->setName("Age"); +inputVariable1->setRange(20.000, 100.000); +inputVariable1->addTerm(new ZShape("Young", 30.000, 90.000)); +inputVariable1->addTerm(new SShape("Old", 30.000, 90.000)); +engine->addInputVariable(inputVariable1); + +InputVariable* inputVariable2 = new InputVariable; +inputVariable2->setEnabled(true); +inputVariable2->setName("RiskTolerance"); +inputVariable2->setRange(0.000, 10.000); +inputVariable2->addTerm(new ZShape("Low", 2.000, 8.000)); +inputVariable2->addTerm(new SShape("High", 2.000, 8.000)); +engine->addInputVariable(inputVariable2); + +OutputVariable* outputVariable = new OutputVariable; +outputVariable->setEnabled(true); +outputVariable->setName("PercentageInStocks"); +outputVariable->setRange(0.000, 100.000); +outputVariable->fuzzyOutput()->setAccumulation(new EinsteinSum); +outputVariable->setDefuzzifier(new Centroid(200)); +outputVariable->setDefaultValue(fl::nan); +outputVariable->setLockPreviousOutputValue(false); +outputVariable->setLockOutputValueInRange(false); +outputVariable->addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); +outputVariable->addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); +outputVariable->addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); +engine->addOutputVariable(outputVariable); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(new EinsteinProduct); +ruleBlock->setDisjunction(new EinsteinSum); +ruleBlock->setActivation(new EinsteinProduct); +ruleBlock->addRule(fl::Rule::parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine)); +ruleBlock->addRule(fl::Rule::parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine)); +ruleBlock->addRule(fl::Rule::parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine)); +ruleBlock->addRule(fl::Rule::parse("if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/octave/investment_portfolio.fcl b/examples/mamdani/octave/investment_portfolio.fcl new file mode 100644 index 0000000..590ab3b --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fcl @@ -0,0 +1,44 @@ +FUNCTION_BLOCK Investment-Portfolio + +VAR_INPUT + Age: REAL; + RiskTolerance: REAL; +END_VAR + +VAR_OUTPUT + PercentageInStocks: REAL; +END_VAR + +FUZZIFY Age + RANGE := (20.000 .. 100.000); + TERM Young := ZShape 30.000 90.000; + TERM Old := SShape 30.000 90.000; +END_FUZZIFY + +FUZZIFY RiskTolerance + RANGE := (0.000 .. 10.000); + TERM Low := ZShape 2.000 8.000; + TERM High := SShape 2.000 8.000; +END_FUZZIFY + +DEFUZZIFY PercentageInStocks + RANGE := (0.000 .. 100.000); + TERM AboutFifteen := Gaussian 15.000 10.000; + TERM AboutFifty := Gaussian 50.000 10.000; + TERM AboutEightyFive := Gaussian 85.000 10.000; + METHOD : COG; + ACCU : ESUM; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : EPROD; + OR : ESUM; + ACT : EPROD; + RULE 1 : if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive + RULE 2 : if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen + RULE 3 : if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 + RULE 4 : if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500 +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/octave/investment_portfolio.fis b/examples/mamdani/octave/investment_portfolio.fis new file mode 100644 index 0000000..311e728 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fis @@ -0,0 +1,39 @@ +[System] +Name='Investment-Portfolio' +Type='mamdani' +NumInputs=2 +NumOutputs=1 +NumRules=4 +AndMethod='einstein_product' +OrMethod='einstein_sum' +ImpMethod='einstein_product' +AggMethod='einstein_sum' +DefuzzMethod='centroid' + +[Input1] +Name='Age' +Range=[20.000 100.000] +NumMFs=2 +MF1='Young':'zmf',[30.000 90.000] +MF2='Old':'smf',[30.000 90.000] + +[Input2] +Name='RiskTolerance' +Range=[0.000 10.000] +NumMFs=2 +MF1='Low':'zmf',[2.000 8.000] +MF2='High':'smf',[2.000 8.000] + +[Output1] +Name='PercentageInStocks' +Range=[0.000 100.000] +NumMFs=3 +MF1='AboutFifteen':'gaussmf',[10.000 15.000] +MF2='AboutFifty':'gaussmf',[10.000 50.000] +MF3='AboutEightyFive':'gaussmf',[10.000 85.000] + +[Rules] +1.000 2.000 , 3.000 (1.000) : 2 +2.000 1.000 , 1.000 (1.000) : 2 +-2.300 -1.300 , 2.000 (0.500) : 1 +-1.300 -2.300 , 2.000 (0.500) : 1 diff --git a/examples/mamdani/octave/investment_portfolio.fld b/examples/mamdani/octave/investment_portfolio.fld new file mode 100644 index 0000000..648b0be --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fld @@ -0,0 +1,1026 @@ +#@Engine: Investment-Portfolio; +#@InputVariable: Age; @InputVariable: RiskTolerance; @OutputVariable: PercentageInStocks; +20.00000000 0.00000000 50.00000000 +20.00000000 0.32258065 50.00000000 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a/examples/mamdani/octave/investment_portfolio.fll b/examples/mamdani/octave/investment_portfolio.fll new file mode 100644 index 0000000..4bb14e1 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.fll @@ -0,0 +1,31 @@ +Engine: Investment-Portfolio +InputVariable: Age + enabled: true + range: 20.000 100.000 + term: Young ZShape 30.000 90.000 + term: Old SShape 30.000 90.000 +InputVariable: RiskTolerance + enabled: true + range: 0.000 10.000 + term: Low ZShape 2.000 8.000 + term: High SShape 2.000 8.000 +OutputVariable: PercentageInStocks + enabled: true + range: 0.000 100.000 + accumulation: EinsteinSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + lock-range: false + term: AboutFifteen Gaussian 15.000 10.000 + term: AboutFifty Gaussian 50.000 10.000 + term: AboutEightyFive Gaussian 85.000 10.000 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: EinsteinSum + activation: EinsteinProduct + rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive + rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen + rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 + rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500
\ No newline at end of file diff --git a/examples/mamdani/octave/investment_portfolio.java b/examples/mamdani/octave/investment_portfolio.java new file mode 100644 index 0000000..09084f1 --- /dev/null +++ b/examples/mamdani/octave/investment_portfolio.java @@ -0,0 +1,62 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class investment_portfolio{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Investment-Portfolio"); + +InputVariable inputVariable1 = new InputVariable(); +inputVariable1.setEnabled(true); +inputVariable1.setName("Age"); +inputVariable1.setRange(20.000, 100.000); +inputVariable1.addTerm(new ZShape("Young", 30.000, 90.000)); +inputVariable1.addTerm(new SShape("Old", 30.000, 90.000)); +engine.addInputVariable(inputVariable1); + +InputVariable inputVariable2 = new InputVariable(); +inputVariable2.setEnabled(true); +inputVariable2.setName("RiskTolerance"); +inputVariable2.setRange(0.000, 10.000); +inputVariable2.addTerm(new ZShape("Low", 2.000, 8.000)); +inputVariable2.addTerm(new SShape("High", 2.000, 8.000)); +engine.addInputVariable(inputVariable2); + +OutputVariable outputVariable = new OutputVariable(); +outputVariable.setEnabled(true); +outputVariable.setName("PercentageInStocks"); +outputVariable.setRange(0.000, 100.000); +outputVariable.fuzzyOutput().setAccumulation(new EinsteinSum()); +outputVariable.setDefuzzifier(new Centroid(200)); +outputVariable.setDefaultValue(Double.NaN); +outputVariable.setLockPreviousOutputValue(false); +outputVariable.setLockOutputValueInRange(false); +outputVariable.addTerm(new Gaussian("AboutFifteen", 15.000, 10.000)); +outputVariable.addTerm(new Gaussian("AboutFifty", 50.000, 10.000)); +outputVariable.addTerm(new Gaussian("AboutEightyFive", 85.000, 10.000)); +engine.addOutputVariable(outputVariable); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new EinsteinProduct()); +ruleBlock.setDisjunction(new EinsteinSum()); +ruleBlock.setActivation(new EinsteinProduct()); +ruleBlock.addRule(Rule.parse("if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive", engine)); +ruleBlock.addRule(Rule.parse("if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen", engine)); +ruleBlock.addRule(Rule.parse("if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500", engine)); +ruleBlock.addRule(Rule.parse("if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/mamdani/octave/mamdani_tip_calculator.cpp b/examples/mamdani/octave/mamdani_tip_calculator.cpp new file mode 100644 index 0000000..cd57bf7 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.cpp @@ -0,0 +1,66 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Mamdani-Tip-Calculator"); + +InputVariable* inputVariable1 = new InputVariable; +inputVariable1->setEnabled(true); +inputVariable1->setName("FoodQuality"); +inputVariable1->setRange(1.000, 10.000); +inputVariable1->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable1->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(inputVariable1); + +InputVariable* inputVariable2 = new InputVariable; +inputVariable2->setEnabled(true); +inputVariable2->setName("Service"); +inputVariable2->setRange(1.000, 10.000); +inputVariable2->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable2->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(inputVariable2); + +OutputVariable* outputVariable1 = new OutputVariable; +outputVariable1->setEnabled(true); +outputVariable1->setName("Tip"); +outputVariable1->setRange(0.000, 30.000); +outputVariable1->fuzzyOutput()->setAccumulation(new AlgebraicSum); +outputVariable1->setDefuzzifier(new Centroid(200)); +outputVariable1->setDefaultValue(fl::nan); +outputVariable1->setLockPreviousOutputValue(false); +outputVariable1->setLockOutputValueInRange(false); +outputVariable1->addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); +outputVariable1->addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); +outputVariable1->addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); +engine->addOutputVariable(outputVariable1); + +OutputVariable* outputVariable2 = new OutputVariable; +outputVariable2->setEnabled(true); +outputVariable2->setName("CheckPlusTip"); +outputVariable2->setRange(1.000, 1.300); +outputVariable2->fuzzyOutput()->setAccumulation(new AlgebraicSum); +outputVariable2->setDefuzzifier(new Centroid(200)); +outputVariable2->setDefaultValue(fl::nan); +outputVariable2->setLockPreviousOutputValue(false); +outputVariable2->setLockOutputValueInRange(false); +outputVariable2->addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); +outputVariable2->addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); +outputVariable2->addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); +engine->addOutputVariable(outputVariable2); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(new AlgebraicProduct); +ruleBlock->setDisjunction(new Maximum); +ruleBlock->setActivation(new Minimum); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fcl b/examples/mamdani/octave/mamdani_tip_calculator.fcl new file mode 100644 index 0000000..3ea903a --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fcl @@ -0,0 +1,55 @@ +FUNCTION_BLOCK Mamdani-Tip-Calculator + +VAR_INPUT + FoodQuality: REAL; + Service: REAL; +END_VAR + +VAR_OUTPUT + Tip: REAL; + CheckPlusTip: REAL; +END_VAR + +FUZZIFY FoodQuality + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +FUZZIFY Service + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +DEFUZZIFY Tip + RANGE := (0.000 .. 30.000); + TERM AboutTenPercent := Gaussian 10.000 2.000; + TERM AboutFifteenPercent := Gaussian 15.000 2.000; + TERM AboutTwentyPercent := Gaussian 20.000 2.000; + METHOD : COG; + ACCU : ASUM; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY CheckPlusTip + RANGE := (1.000 .. 1.300); + TERM PlusAboutTenPercent := Gaussian 1.100 0.020; + TERM PlusAboutFifteenPercent := Gaussian 1.150 0.020; + TERM PlusAboutTwentyPercent := Gaussian 1.200 0.020; + METHOD : COG; + ACCU : ASUM; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : PROD; + OR : MAX; + ACT : MIN; + RULE 1 : if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent + RULE 2 : if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + RULE 3 : if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + RULE 4 : if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fis b/examples/mamdani/octave/mamdani_tip_calculator.fis new file mode 100644 index 0000000..42cf1df --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fis @@ -0,0 +1,47 @@ +[System] +Name='Mamdani-Tip-Calculator' +Type='mamdani' +NumInputs=2 +NumOutputs=2 +NumRules=4 +AndMethod='prod' +OrMethod='max' +ImpMethod='min' +AggMethod='sum' +DefuzzMethod='centroid' + +[Input1] +Name='FoodQuality' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Input2] +Name='Service' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Output1] +Name='Tip' +Range=[0.000 30.000] +NumMFs=3 +MF1='AboutTenPercent':'gaussmf',[2.000 10.000] +MF2='AboutFifteenPercent':'gaussmf',[2.000 15.000] +MF3='AboutTwentyPercent':'gaussmf',[2.000 20.000] + +[Output2] +Name='CheckPlusTip' +Range=[1.000 1.300] +NumMFs=3 +MF1='PlusAboutTenPercent':'gaussmf',[0.020 1.100] +MF2='PlusAboutFifteenPercent':'gaussmf',[0.020 1.150] +MF3='PlusAboutTwentyPercent':'gaussmf',[0.020 1.200] + +[Rules] +1.000 1.000 , 1.000 1.000 (1.000) : 1 +1.000 2.000 , 2.000 2.000 (1.000) : 1 +2.000 1.000 , 2.000 2.000 (1.000) : 1 +2.000 2.000 , 3.000 3.000 (1.000) : 1 diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fld b/examples/mamdani/octave/mamdani_tip_calculator.fld new file mode 100644 index 0000000..9d54109 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fld @@ -0,0 +1,1026 @@ +#@Engine: Mamdani-Tip-Calculator; +#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: Tip; @OutputVariable: CheckPlusTip; +1.00000000 1.00000000 10.00000296 1.10000003 +1.00000000 1.29032258 10.00000296 1.10000003 +1.00000000 1.58064516 10.00000296 1.10000003 +1.00000000 1.87096774 10.00000296 1.10000003 +1.00000000 2.16129032 10.00000296 1.10000003 +1.00000000 2.45161290 10.00000296 1.10000003 +1.00000000 2.74193548 10.00000296 1.10000003 +1.00000000 3.03225806 10.10361204 1.10103612 +1.00000000 3.32258065 10.70846739 1.10708467 +1.00000000 3.61290323 11.13394556 1.11133946 +1.00000000 3.90322581 11.47924881 1.11479249 +1.00000000 4.19354839 11.77837052 1.11778371 +1.00000000 4.48387097 12.05010492 1.12050105 +1.00000000 4.77419355 12.30576276 1.12305763 +1.00000000 5.06451613 12.55517544 1.12555175 +1.00000000 5.35483871 12.80665986 1.12806660 +1.00000000 5.64516129 13.06809323 1.13068093 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1.19999997 +9.12903226 10.00000000 19.99999704 1.19999997 +9.41935484 1.00000000 15.00000000 1.15000000 +9.41935484 1.29032258 15.00000000 1.15000000 +9.41935484 1.58064516 15.00000000 1.15000000 +9.41935484 1.87096774 15.00000000 1.15000000 +9.41935484 2.16129032 15.00000000 1.15000000 +9.41935484 2.45161290 15.00000000 1.15000000 +9.41935484 2.74193548 15.00000000 1.15000000 +9.41935484 3.03225806 15.10357489 1.15103575 +9.41935484 3.32258065 15.70844950 1.15708449 +9.41935484 3.61290323 16.13382374 1.16133824 +9.41935484 3.90322581 16.47922769 1.16479228 +9.41935484 4.19354839 16.77845274 1.16778453 +9.41935484 4.48387097 17.05002382 1.17050024 +9.41935484 4.77419355 17.30571907 1.17305719 +9.41935484 5.06451613 17.55554644 1.17555546 +9.41935484 5.35483871 17.80639865 1.17806399 +9.41935484 5.64516129 18.06809818 1.18068098 +9.41935484 5.93548387 18.34996260 1.18349963 +9.41935484 6.22580645 18.66701771 1.18667018 +9.41935484 6.51612903 19.04189908 1.19041899 +9.41935484 6.80645161 19.52496415 1.19524964 +9.41935484 7.09677419 19.99999704 1.19999997 +9.41935484 7.38709677 19.99999704 1.19999997 +9.41935484 7.67741935 19.99999704 1.19999997 +9.41935484 7.96774194 19.99999704 1.19999997 +9.41935484 8.25806452 19.99999704 1.19999997 +9.41935484 8.54838710 19.99999704 1.19999997 +9.41935484 8.83870968 19.99999704 1.19999997 +9.41935484 9.12903226 19.99999704 1.19999997 +9.41935484 9.41935484 19.99999704 1.19999997 +9.41935484 9.70967742 19.99999704 1.19999997 +9.41935484 10.00000000 19.99999704 1.19999997 +9.70967742 1.00000000 15.00000000 1.15000000 +9.70967742 1.29032258 15.00000000 1.15000000 +9.70967742 1.58064516 15.00000000 1.15000000 +9.70967742 1.87096774 15.00000000 1.15000000 +9.70967742 2.16129032 15.00000000 1.15000000 +9.70967742 2.45161290 15.00000000 1.15000000 +9.70967742 2.74193548 15.00000000 1.15000000 +9.70967742 3.03225806 15.10357489 1.15103575 +9.70967742 3.32258065 15.70844950 1.15708449 +9.70967742 3.61290323 16.13382374 1.16133824 +9.70967742 3.90322581 16.47922769 1.16479228 +9.70967742 4.19354839 16.77845274 1.16778453 +9.70967742 4.48387097 17.05002382 1.17050024 +9.70967742 4.77419355 17.30571907 1.17305719 +9.70967742 5.06451613 17.55554644 1.17555546 +9.70967742 5.35483871 17.80639865 1.17806399 +9.70967742 5.64516129 18.06809818 1.18068098 +9.70967742 5.93548387 18.34996260 1.18349963 +9.70967742 6.22580645 18.66701771 1.18667018 +9.70967742 6.51612903 19.04189908 1.19041899 +9.70967742 6.80645161 19.52496415 1.19524964 +9.70967742 7.09677419 19.99999704 1.19999997 +9.70967742 7.38709677 19.99999704 1.19999997 +9.70967742 7.67741935 19.99999704 1.19999997 +9.70967742 7.96774194 19.99999704 1.19999997 +9.70967742 8.25806452 19.99999704 1.19999997 +9.70967742 8.54838710 19.99999704 1.19999997 +9.70967742 8.83870968 19.99999704 1.19999997 +9.70967742 9.12903226 19.99999704 1.19999997 +9.70967742 9.41935484 19.99999704 1.19999997 +9.70967742 9.70967742 19.99999704 1.19999997 +9.70967742 10.00000000 19.99999704 1.19999997 +10.00000000 1.00000000 15.00000000 1.15000000 +10.00000000 1.29032258 15.00000000 1.15000000 +10.00000000 1.58064516 15.00000000 1.15000000 +10.00000000 1.87096774 15.00000000 1.15000000 +10.00000000 2.16129032 15.00000000 1.15000000 +10.00000000 2.45161290 15.00000000 1.15000000 +10.00000000 2.74193548 15.00000000 1.15000000 +10.00000000 3.03225806 15.10357489 1.15103575 +10.00000000 3.32258065 15.70844950 1.15708449 +10.00000000 3.61290323 16.13382374 1.16133824 +10.00000000 3.90322581 16.47922769 1.16479228 +10.00000000 4.19354839 16.77845274 1.16778453 +10.00000000 4.48387097 17.05002382 1.17050024 +10.00000000 4.77419355 17.30571907 1.17305719 +10.00000000 5.06451613 17.55554644 1.17555546 +10.00000000 5.35483871 17.80639865 1.17806399 +10.00000000 5.64516129 18.06809818 1.18068098 +10.00000000 5.93548387 18.34996260 1.18349963 +10.00000000 6.22580645 18.66701771 1.18667018 +10.00000000 6.51612903 19.04189908 1.19041899 +10.00000000 6.80645161 19.52496415 1.19524964 +10.00000000 7.09677419 19.99999704 1.19999997 +10.00000000 7.38709677 19.99999704 1.19999997 +10.00000000 7.67741935 19.99999704 1.19999997 +10.00000000 7.96774194 19.99999704 1.19999997 +10.00000000 8.25806452 19.99999704 1.19999997 +10.00000000 8.54838710 19.99999704 1.19999997 +10.00000000 8.83870968 19.99999704 1.19999997 +10.00000000 9.12903226 19.99999704 1.19999997 +10.00000000 9.41935484 19.99999704 1.19999997 +10.00000000 9.70967742 19.99999704 1.19999997 +10.00000000 10.00000000 19.99999704 1.19999997 diff --git a/examples/mamdani/octave/mamdani_tip_calculator.fll b/examples/mamdani/octave/mamdani_tip_calculator.fll new file mode 100644 index 0000000..b6c1920 --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.fll @@ -0,0 +1,42 @@ +Engine: Mamdani-Tip-Calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: Tip + enabled: true + range: 0.000 30.000 + accumulation: AlgebraicSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + lock-range: false + term: AboutTenPercent Gaussian 10.000 2.000 + term: AboutFifteenPercent Gaussian 15.000 2.000 + term: AboutTwentyPercent Gaussian 20.000 2.000 +OutputVariable: CheckPlusTip + enabled: true + range: 1.000 1.300 + accumulation: AlgebraicSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + lock-range: false + term: PlusAboutTenPercent Gaussian 1.100 0.020 + term: PlusAboutFifteenPercent Gaussian 1.150 0.020 + term: PlusAboutTwentyPercent Gaussian 1.200 0.020 +RuleBlock: + enabled: true + conjunction: AlgebraicProduct + disjunction: Maximum + activation: Minimum + rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent + rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent
\ No newline at end of file diff --git a/examples/mamdani/octave/mamdani_tip_calculator.java b/examples/mamdani/octave/mamdani_tip_calculator.java new file mode 100644 index 0000000..bea319b --- /dev/null +++ b/examples/mamdani/octave/mamdani_tip_calculator.java @@ -0,0 +1,76 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class mamdani_tip_calculator{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Mamdani-Tip-Calculator"); + +InputVariable inputVariable1 = new InputVariable(); +inputVariable1.setEnabled(true); +inputVariable1.setName("FoodQuality"); +inputVariable1.setRange(1.000, 10.000); +inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(inputVariable1); + +InputVariable inputVariable2 = new InputVariable(); +inputVariable2.setEnabled(true); +inputVariable2.setName("Service"); +inputVariable2.setRange(1.000, 10.000); +inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(inputVariable2); + +OutputVariable outputVariable1 = new OutputVariable(); +outputVariable1.setEnabled(true); +outputVariable1.setName("Tip"); +outputVariable1.setRange(0.000, 30.000); +outputVariable1.fuzzyOutput().setAccumulation(new AlgebraicSum()); +outputVariable1.setDefuzzifier(new Centroid(200)); +outputVariable1.setDefaultValue(Double.NaN); +outputVariable1.setLockPreviousOutputValue(false); +outputVariable1.setLockOutputValueInRange(false); +outputVariable1.addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); +outputVariable1.addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); +outputVariable1.addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); +engine.addOutputVariable(outputVariable1); + +OutputVariable outputVariable2 = new OutputVariable(); +outputVariable2.setEnabled(true); +outputVariable2.setName("CheckPlusTip"); +outputVariable2.setRange(1.000, 1.300); +outputVariable2.fuzzyOutput().setAccumulation(new AlgebraicSum()); +outputVariable2.setDefuzzifier(new Centroid(200)); +outputVariable2.setDefaultValue(Double.NaN); +outputVariable2.setLockPreviousOutputValue(false); +outputVariable2.setLockOutputValueInRange(false); +outputVariable2.addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); +outputVariable2.addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); +outputVariable2.addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); +engine.addOutputVariable(outputVariable2); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new AlgebraicProduct()); +ruleBlock.setDisjunction(new Maximum()); +ruleBlock.setActivation(new Minimum()); +ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/original/mamdani/AllTerms.fis b/examples/original/mamdani/AllTerms.fis new file mode 100644 index 0000000..04a36f1 --- /dev/null +++ b/examples/original/mamdani/AllTerms.fis @@ -0,0 +1,84 @@ +[System] +Name='qtfuzzylite' +Type='mamdani' +NumInputs=1 +NumOutputs=1 +NumRules=16 +AndMethod='min' +OrMethod='max' +ImpMethod='min' +AggMethod='max' +DefuzzMethod='centroid' + +[Input1] +Name='AllInputTerms' +Range=[0.000 6.500] +NumMFs=20 +MF1='A':'sigmf',[-20.000 0.500] +MF2='B':'zmf',[0.000 1.000] +MF3='C':'rampmf',[1.000 0.000] +MF4='D':'trimf',[0.500 1.000 1.500] +MF5='E':'trapmf',[1.000 1.250 1.750 2.000] +MF6='F':'concavemf',[0.850 0.250] +MF7='G':'rectmf',[1.750 2.250] +MF8='H':'discretemf',[2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000] +MF9='I':'gaussmf',[0.200 3.000] +MF10='J':'cosinemf',[3.250 0.650] +MF11='K':'gauss2mf',[0.100 3.500 0.300 3.300] +MF12='L':'spikemf',[3.640 1.040] +MF13='M':'gbellmf',[0.250 3.000 4.000] +MF14='N':'pimf',[4.000 4.500 4.500 5.000] +MF15='O':'concavemf',[5.650 6.250] +MF16='P':'dsigmf',[10.000 4.750 30.000 5.250] +MF17='Q':'psigmf',[20.000 5.250 -10.000 5.750] +MF18='R':'rampmf',[5.500 6.500] +MF19='S':'smf',[5.500 6.500] +MF20='T':'sigmf',[20.000 6.000] + +[Output1] +Name='AllOutputTerms' +Range=[0.000 6.500] +NumMFs=16 +MF1='A':'sigmf',[-20.000 0.500] +MF2='B':'zmf',[0.000 1.000] +MF3='C':'rampmf',[1.000 0.000] +MF4='D':'trimf',[0.500 1.000 1.500] +MF5='E':'trapmf',[1.000 1.250 1.750 2.000] +MF6='F':'concavemf',[0.850 0.250] +MF7='G':'rectmf',[1.750 2.250] +MF8='H':'discretemf',[2.000 0.000 2.250 1.000 2.500 0.500 2.750 1.000 3.000 0.000] +MF9='I':'gaussmf',[0.200 3.000] +MF10='J':'cosinemf',[3.250 0.650] +MF11='K':'gauss2mf',[0.100 3.500 0.300 3.300] +MF12='L':'spikemf',[3.640 1.040] +MF13='M':'gbellmf',[0.250 3.000 4.000] +MF14='N':'pimf',[4.000 4.500 4.500 5.000] +MF15='O':'concavemf',[5.650 6.250] +MF16='P':'dsigmf',[10.000 4.750 30.000 5.250] +MF17='Q':'psigmf',[20.000 5.250 -10.000 5.750] +MF18='R':'rampmf',[5.500 6.500] +MF19='S':'smf',[5.500 6.500] +MF20='T':'sigmf',[20.000 6.000] + + +[Rules] +1.000 , 20.000 (1.000) : 1 +2.000 , 19.000 (1.000) : 1 +3.000 , 18.000 (1.000) : 1 +4.000 , 17.000 (1.000) : 1 +5.000 , 16.000 (1.000) : 1 +6.000 , 15.000 (1.000) : 1 +7.000 , 14.000 (1.000) : 1 +8.000 , 13.000 (1.000) : 1 +9.000 , 12.000 (1.000) : 1 +10.000 , 11.000 (1.000) : 1 +11.000 , 10.000 (1.000) : 1 +12.000 , 9.000 (1.000) : 1 +13.000 , 8.000 (1.000) : 1 +14.000 , 7.000 (1.000) : 1 +15.000 , 6.000 (1.000) : 1 +16.000 , 5.000 (1.000) : 1 +17.000 , 4.000 (1.000) : 1 +18.000 , 3.000 (1.000) : 1 +19.000 , 2.000 (1.000) : 1 +20.000 , 1.000 (1.000) : 1 diff --git a/examples/original/mamdani/AllTerms.fll b/examples/original/mamdani/AllTerms.fll new file mode 100644 index 0000000..58d5705 --- /dev/null +++ b/examples/original/mamdani/AllTerms.fll @@ -0,0 +1,77 @@ +Engine: qtfuzzylite +InputVariable: AllInputTerms + enabled: true + range: 0.000 6.500 + 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 + accumulation: 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 + 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 + activation: Minimum + 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
\ No newline at end of file diff --git a/examples/original/mamdani/Laundry.fll b/examples/original/mamdani/Laundry.fll new file mode 100644 index 0000000..cc002bb --- /dev/null +++ b/examples/original/mamdani/Laundry.fll @@ -0,0 +1,43 @@ +Engine: Laundry +InputVariable: Load + enabled: true + range: 0.000 6.000 + 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 + 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 + defuzzifier: MeanOfMaximum 500 + default: nan + lock-previous: false + lock-range: 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 + accumulation: 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_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/original/mamdani/SimpleDimmer.fis b/examples/original/mamdani/SimpleDimmer.fis new file mode 100644 index 0000000..d3d229a --- /dev/null +++ b/examples/original/mamdani/SimpleDimmer.fis @@ -0,0 +1,39 @@ +[System] +Name='simple-dimmer' +Type='mamdani' +Version=3.0 +NumInputs=1 +NumOutputs=1 +NumRules=3 +AndMethod='' +OrMethod='' +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] +Default=nan +LockPrevious=0 +LockRange=0 +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] + + +[Rules] +1 , 3 (1) : 1 +2 , 2 (1) : 1 +3 , 1 (1) : 1 + diff --git a/examples/original/mamdani/SimpleDimmer.fll b/examples/original/mamdani/SimpleDimmer.fll new file mode 100644 index 0000000..3a4f8f9 --- /dev/null +++ b/examples/original/mamdani/SimpleDimmer.fll @@ -0,0 +1,26 @@ +Engine: simple-dimmer +InputVariable: Ambient + enabled: true + 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 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + accumulation: 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 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: Minimum + 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/original/mamdani/SimpleDimmerInverse.fll b/examples/original/mamdani/SimpleDimmerInverse.fll new file mode 100644 index 0000000..fd6b945 --- /dev/null +++ b/examples/original/mamdani/SimpleDimmerInverse.fll @@ -0,0 +1,40 @@ +Engine: simple-dimmer +InputVariable: Ambient + enabled: true + 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 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + accumulation: 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 + 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 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: Minimum + 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
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If not, see <http://www.gnu.org/licenses/>. + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + <program> Copyright (C) <year> <name of author> + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +<http://www.gnu.org/licenses/>. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +<http://www.gnu.org/philosophy/why-not-lgpl.html>. diff --git a/examples/original/mamdani/octave/DESCRIPTION b/examples/original/mamdani/octave/DESCRIPTION new file mode 100644 index 0000000..35df57d --- /dev/null +++ b/examples/original/mamdani/octave/DESCRIPTION @@ -0,0 +1,12 @@ +Name: fuzzy-logic-toolkit +Version: 0.4.2 +Date: 2012-10-02 +Author: L. Markowsky <lmarkov@users.sourceforge.net> +Maintainer: L. Markowsky <lmarkov@users.sourceforge.net> +Title: Octave Fuzzy Logic Toolkit +Description: A mostly MATLAB-compatible fuzzy logic toolkit for Octave. +Depends: octave (>= 3.2.4) +Autoload: no +License: GPLv3+ +Url: http://octave.sf.net + http://sf.net/projects/octave-fuzzy diff --git a/examples/original/mamdani/octave/investment_portfolio.fis b/examples/original/mamdani/octave/investment_portfolio.fis new file mode 100644 index 0000000..49a01fd --- /dev/null +++ b/examples/original/mamdani/octave/investment_portfolio.fis @@ -0,0 +1,64 @@ +## Copyright (C) 2011-2012 L. Markowsky <lmarkov@users.sourceforge.net> +## +## This file is part of the fuzzy-logic-toolkit. +## +## The fuzzy-logic-toolkit is free software; you can redistribute it +## and/or modify it under the terms of the GNU General Public License +## as published by the Free Software Foundation; either version 3 of +## the License, or (at your option) any later version. +## +## The fuzzy-logic-toolkit is distributed in the hope that it will be +## useful, but WITHOUT ANY WARRANTY; without even the implied warranty +## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with the fuzzy-logic-toolkit; see the file COPYING. If not, +## see <http://www.gnu.org/licenses/>. + +## Author: L. Markowsky +## Keywords: fuzzy-logic-toolkit fis +## Directory: fuzzy-logic-toolkit/inst/ +## Filename: investment_portfolio.fis +## Last-Modified: 28 Aug 2012 + +[System] +Name='Investment-Portfolio' +Type='mamdani' +Version=2.0 +NumInputs=2 +NumOutputs=1 +NumRules=4 +AndMethod='einstein_product' +OrMethod='einstein_sum' +ImpMethod='einstein_product' +AggMethod='einstein_sum' +DefuzzMethod='centroid' + +[Input1] +Name='Age' +Range=[20 100] +NumMFs=2 +MF1='Young':'zmf',[30 90] +MF2='Old':'smf',[30 90] + +[Input2] +Name='Risk-Tolerance' +Range=[0 10] +NumMFs=2 +MF1='Low':'zmf',[2 8] +MF2='High':'smf',[2 8] + +[Output1] +Name='Percentage-In-Stocks' +Range=[0 100] +NumMFs=3 +MF1='About-Fifteen':'gaussmf',[10 15] +MF2='About-Fifty':'gaussmf',[10 50] +MF3='About-Eighty-Five':'gaussmf',[10 85] + +[Rules] +1 2, 3 (1) : 2 +2 1, 1 (1) : 2 +-2.3 -1.3, 2 (0.5) : 1 +-1.3 -2.3, 2 (0.5) : 1 diff --git a/examples/original/mamdani/octave/investment_portfolio.fll b/examples/original/mamdani/octave/investment_portfolio.fll new file mode 100644 index 0000000..4bb14e1 --- /dev/null +++ b/examples/original/mamdani/octave/investment_portfolio.fll @@ -0,0 +1,31 @@ +Engine: Investment-Portfolio +InputVariable: Age + enabled: true + range: 20.000 100.000 + term: Young ZShape 30.000 90.000 + term: Old SShape 30.000 90.000 +InputVariable: RiskTolerance + enabled: true + range: 0.000 10.000 + term: Low ZShape 2.000 8.000 + term: High SShape 2.000 8.000 +OutputVariable: PercentageInStocks + enabled: true + range: 0.000 100.000 + accumulation: EinsteinSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + lock-range: false + term: AboutFifteen Gaussian 15.000 10.000 + term: AboutFifty Gaussian 50.000 10.000 + term: AboutEightyFive Gaussian 85.000 10.000 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: EinsteinSum + activation: EinsteinProduct + rule: if Age is Young or RiskTolerance is High then PercentageInStocks is AboutEightyFive + rule: if Age is Old or RiskTolerance is Low then PercentageInStocks is AboutFifteen + rule: if Age is not extremely Old and RiskTolerance is not extremely Low then PercentageInStocks is AboutFifty with 0.500 + rule: if Age is not extremely Young and RiskTolerance is not extremely High then PercentageInStocks is AboutFifty with 0.500
\ No newline at end of file diff --git a/examples/original/mamdani/octave/mamdani_tip_calculator.fis b/examples/original/mamdani/octave/mamdani_tip_calculator.fis new file mode 100644 index 0000000..7029c58 --- /dev/null +++ b/examples/original/mamdani/octave/mamdani_tip_calculator.fis @@ -0,0 +1,72 @@ +## Copyright (C) 2011-2012 L. Markowsky <lmarkov@users.sourceforge.net> +## +## This file is part of the fuzzy-logic-toolkit. +## +## The fuzzy-logic-toolkit is free software; you can redistribute it +## and/or modify it under the terms of the GNU General Public License +## as published by the Free Software Foundation; either version 3 of +## the License, or (at your option) any later version. +## +## The fuzzy-logic-toolkit is distributed in the hope that it will be +## useful, but WITHOUT ANY WARRANTY; without even the implied warranty +## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with the fuzzy-logic-toolkit; see the file COPYING. If not, +## see <http://www.gnu.org/licenses/>. + +## Author: L. Markowsky +## Keywords: fuzzy-logic-toolkit fis +## Directory: fuzzy-logic-toolkit/inst/ +## Filename: mamdani_tip_calculator.fis +## Last-Modified: 28 Aug 2012 + +[System] +Name='Mamdani-Tip-Calculator' +Type='mamdani' +Version=2.0 +NumInputs=2 +NumOutputs=2 +NumRules=4 +AndMethod='prod' +OrMethod='max' +ImpMethod='min' +AggMethod='sum' +DefuzzMethod='centroid' + +[Input1] +Name='Food-Quality' +Range=[1 10] +NumMFs=2 +MF1='Bad':'trapmf',[0 1 3 7] +MF2='Good':'trapmf',[3 7 10 11] + +[Input2] +Name='Service' +Range=[1 10] +NumMFs=2 +MF1='Bad':'trapmf',[0 1 3 7] +MF2='Good':'trapmf',[3 7 10 11] + +[Output1] +Name='Tip' +Range=[0 30] +NumMFs=3 +MF1='About-Ten-Percent':'gaussmf',[2 10] +MF2='About-Fifteen-Percent':'gaussmf',[2 15] +MF3='About-Twenty-Percent':'gaussmf',[2 20] + +[Output2] +Name='Check-Plus-Tip' +Range=[1 1.3] +NumMFs=3 +MF1='Plus-About-Ten-Percent':'gaussmf',[0.02 1.10] +MF2='Plus-About-Fifteen-Percent':'gaussmf',[0.02 1.15] +MF3='Plus-About-Twenty-Percent':'gaussmf',[0.02 1.20] + +[Rules] +1 1, 1 1 (1) : 1 +1 2, 2 2 (1) : 1 +2 1, 2 2 (1) : 1 +2 2, 3 3 (1) : 1 diff --git a/examples/original/mamdani/octave/mamdani_tip_calculator.fll b/examples/original/mamdani/octave/mamdani_tip_calculator.fll new file mode 100644 index 0000000..b6c1920 --- /dev/null +++ b/examples/original/mamdani/octave/mamdani_tip_calculator.fll @@ -0,0 +1,42 @@ +Engine: Mamdani-Tip-Calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: Tip + enabled: true + range: 0.000 30.000 + accumulation: AlgebraicSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + lock-range: false + term: AboutTenPercent Gaussian 10.000 2.000 + term: AboutFifteenPercent Gaussian 15.000 2.000 + term: AboutTwentyPercent Gaussian 20.000 2.000 +OutputVariable: CheckPlusTip + enabled: true + range: 1.000 1.300 + accumulation: AlgebraicSum + defuzzifier: Centroid 200 + default: nan + lock-previous: false + lock-range: false + term: PlusAboutTenPercent Gaussian 1.100 0.020 + term: PlusAboutFifteenPercent Gaussian 1.150 0.020 + term: PlusAboutTwentyPercent Gaussian 1.200 0.020 +RuleBlock: + enabled: true + conjunction: AlgebraicProduct + disjunction: Maximum + activation: Minimum + rule: if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent + rule: if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + rule: if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent + rule: if FoodQuality is Good and Service is Good then Tip is AboutTwentyPercent and CheckPlusTip is PlusAboutTwentyPercent
\ No newline at end of file diff --git a/examples/original/takagi-sugeno/SimpleDimmer.fis b/examples/original/takagi-sugeno/SimpleDimmer.fis new file mode 100644 index 0000000..bb4e638 --- /dev/null +++ b/examples/original/takagi-sugeno/SimpleDimmer.fis @@ -0,0 +1,41 @@ +[System] +Name='simple-dimmer' +Type='sugeno' +Version=4.0 +NumInputs=1 +NumOutputs=1 +NumRules=3 +AndMethod='min' +OrMethod='max' +ImpMethod='prod' +AggMethod='sum' +DefuzzMethod='wtaver' + +[Input1] +Enabled=1 +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] +Enabled=1 +Name='Power' +Range=[0.000 1.000] +Default=nan +LockPrevious=0 +LockRange=0 +NumMFs=3 +MF1='LOW':'constant',[0.250] +MF2='MEDIUM':'constant',[0.500] +MF3='HIGH':'constant',[0.750] + + +[Rules] +1.000 , 3.000 (1) : 1 +2.000 , 2.000 (1) : 1 +3.000 , 1.000 (1) : 1 + diff --git a/examples/original/takagi-sugeno/SimpleDimmer.fll b/examples/original/takagi-sugeno/SimpleDimmer.fll new file mode 100644 index 0000000..15050ee --- /dev/null +++ b/examples/original/takagi-sugeno/SimpleDimmer.fll @@ -0,0 +1,26 @@ +Engine: simple-dimmer +InputVariable: Ambient + enabled: true + 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 +OutputVariable: Power + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: LOW Constant 0.250 + term: MEDIUM Constant 0.500 + term: HIGH Constant 0.750 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW diff --git a/examples/original/takagi-sugeno/approximation.fis b/examples/original/takagi-sugeno/approximation.fis new file mode 100644 index 0000000..3627ccf --- /dev/null +++ b/examples/original/takagi-sugeno/approximation.fis @@ -0,0 +1,80 @@ +[System] +Name='approximation of sin(x)/x' +Type='sugeno' +Version=4.0 +NumInputs=1 +NumOutputs=3 +NumRules=10 +AndMethod='' +OrMethod='' +ImpMethod='prod' +AggMethod='sum' +DefuzzMethod='wtaver' + +[Input1] +Enabled=1 +Name='inputX' +Range=[0.000 10.000] +NumMFs=9 +MF1='NEAR_1':'trimf',[0.000 1.000 2.000] +MF2='NEAR_2':'trimf',[1.000 2.000 3.000] +MF3='NEAR_3':'trimf',[2.000 3.000 4.000] +MF4='NEAR_4':'trimf',[3.000 4.000 5.000] +MF5='NEAR_5':'trimf',[4.000 5.000 6.000] +MF6='NEAR_6':'trimf',[5.000 6.000 7.000] +MF7='NEAR_7':'trimf',[6.000 7.000 8.000] +MF8='NEAR_8':'trimf',[7.000 8.000 9.000] +MF9='NEAR_9':'trimf',[8.000 9.000 10.000] + + +[Output1] +Enabled=1 +Name='outputFx' +Range=[-1.000 1.000] +Default=nan +LockPrevious=1 +LockRange=0 +NumMFs=9 +MF1='f1':'constant',[0.840] +MF2='f2':'constant',[0.450] +MF3='f3':'constant',[0.040] +MF4='f4':'constant',[-0.180] +MF5='f5':'constant',[-0.190] +MF6='f6':'constant',[-0.040] +MF7='f7':'constant',[0.090] +MF8='f8':'constant',[0.120] +MF9='f9':'constant',[0.040] + +[Output2] +Enabled=1 +Name='trueFx' +Range=[-1.000 1.000] +Default=nan +LockPrevious=1 +LockRange=0 +NumMFs=1 +MF1='fx':'function',[sin ( inputX ) /inputX] + +[Output3] +Enabled=1 +Name='diffFx' +Range=[-1.000 1.000] +Default=nan +LockPrevious=0 +LockRange=0 +NumMFs=1 +MF1='diff':'function',[fabs ( outputFx-trueFx )] + + +[Rules] +1.000 , 1.000 0.000 0.000 (1.000) : 1 +2.000 , 2.000 0.000 0.000 (1.000) : 1 +3.000 , 3.000 0.000 0.000 (1.000) : 1 +4.000 , 4.000 0.000 0.000 (1.000) : 1 +5.000 , 5.000 0.000 0.000 (1.000) : 1 +6.000 , 6.000 0.000 0.000 (1.000) : 1 +7.000 , 7.000 0.000 0.000 (1.000) : 1 +8.000 , 8.000 0.000 0.000 (1.000) : 1 +9.000 , 9.000 0.000 0.000 (1.000) : 1 +0.990 , 0.000 1.000 1.000 (1.000) : 1 + diff --git a/examples/original/takagi-sugeno/approximation.fll b/examples/original/takagi-sugeno/approximation.fll new file mode 100644 index 0000000..66fb813 --- /dev/null +++ b/examples/original/takagi-sugeno/approximation.fll @@ -0,0 +1,63 @@ +Engine: approximation of sin(x)/x +InputVariable: inputX + enabled: true + range: 0.000 10.000 + term: NEAR_1 Triangle 0.000 1.000 2.000 + term: NEAR_2 Triangle 1.000 2.000 3.000 + term: NEAR_3 Triangle 2.000 3.000 4.000 + term: NEAR_4 Triangle 3.000 4.000 5.000 + term: NEAR_5 Triangle 4.000 5.000 6.000 + term: NEAR_6 Triangle 5.000 6.000 7.000 + term: NEAR_7 Triangle 6.000 7.000 8.000 + term: NEAR_8 Triangle 7.000 8.000 9.000 + term: NEAR_9 Triangle 8.000 9.000 10.000 +OutputVariable: outputFx + enabled: true + range: -1.000 1.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: true + lock-range: false + term: f1 Constant 0.840 + term: f2 Constant 0.450 + term: f3 Constant 0.040 + term: f4 Constant -0.180 + term: f5 Constant -0.190 + term: f6 Constant -0.040 + term: f7 Constant 0.090 + term: f8 Constant 0.120 + term: f9 Constant 0.040 +OutputVariable: trueFx + enabled: true + range: -1.000 1.000 + accumulation: none + defuzzifier: WeightedAverage + default: nan + lock-previous: true + lock-range: false + term: fx Function sin(inputX)/inputX +OutputVariable: diffFx + enabled: true + range: -1.000 1.000 + accumulation: none + defuzzifier: WeightedAverage + default: nan + lock-previous: false + lock-range: false + term: diff Function fabs(outputFx-trueFx) +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if inputX is NEAR_1 then outputFx is f1 + rule: if inputX is NEAR_2 then outputFx is f2 + rule: if inputX is NEAR_3 then outputFx is f3 + rule: if inputX is NEAR_4 then outputFx is f4 + rule: if inputX is NEAR_5 then outputFx is f5 + rule: if inputX is NEAR_6 then outputFx is f6 + rule: if inputX is NEAR_7 then outputFx is f7 + rule: if inputX is NEAR_8 then outputFx is f8 + rule: if inputX is NEAR_9 then outputFx is f9 + rule: if inputX is any then trueFx is fx and diffFx is diff diff --git a/examples/original/takagi-sugeno/octave/COPYING b/examples/original/takagi-sugeno/octave/COPYING new file mode 100644 index 0000000..94a9ed0 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/COPYING @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. By contrast, +the GNU General Public License is intended to guarantee your freedom to +share and change all versions of a program--to make sure it remains free +software for all its users. We, the Free Software Foundation, use the +GNU General Public License for most of our software; it applies also to +any other work released this way by its authors. You can apply it to +your programs, too. + + When we speak of free software, we are referring to freedom, not +price. Our General Public Licenses are designed to make sure that you +have the freedom to distribute copies of free software (and charge for +them if you wish), that you receive source code or can get it if you +want it, that you can change the software or use pieces of it in new +free programs, and that you know you can do these things. + + To protect your rights, we need to prevent others from denying you +these rights or asking you to surrender the rights. Therefore, you have +certain responsibilities if you distribute copies of the software, or if +you modify it: responsibilities to respect the freedom of others. + + For example, if you distribute copies of such a program, whether +gratis or for a fee, you must pass on to the recipients the same +freedoms that you received. You must make sure that they, too, receive +or can get the source code. And you must show them these terms so they +know their rights. + + Developers that use the GNU GPL protect your rights with two steps: +(1) assert copyright on the software, and (2) offer you this License +giving you legal permission to copy, distribute and/or modify it. + + For the developers' and authors' protection, the GPL clearly explains +that there is no warranty for this free software. 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But first, please read +<http://www.gnu.org/philosophy/why-not-lgpl.html>. diff --git a/examples/original/takagi-sugeno/octave/DESCRIPTION b/examples/original/takagi-sugeno/octave/DESCRIPTION new file mode 100644 index 0000000..35df57d --- /dev/null +++ b/examples/original/takagi-sugeno/octave/DESCRIPTION @@ -0,0 +1,12 @@ +Name: fuzzy-logic-toolkit +Version: 0.4.2 +Date: 2012-10-02 +Author: L. Markowsky <lmarkov@users.sourceforge.net> +Maintainer: L. Markowsky <lmarkov@users.sourceforge.net> +Title: Octave Fuzzy Logic Toolkit +Description: A mostly MATLAB-compatible fuzzy logic toolkit for Octave. +Depends: octave (>= 3.2.4) +Autoload: no +License: GPLv3+ +Url: http://octave.sf.net + http://sf.net/projects/octave-fuzzy diff --git a/examples/original/takagi-sugeno/octave/cubic_approximator.fis b/examples/original/takagi-sugeno/octave/cubic_approximator.fis new file mode 100644 index 0000000..49bf5b1 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/cubic_approximator.fis @@ -0,0 +1,81 @@ +## Copyright (C) 2011-2012 L. Markowsky <lmarkov@users.sourceforge.net> +## +## This file is part of the fuzzy-logic-toolkit. +## +## The fuzzy-logic-toolkit is free software; you can redistribute it +## and/or modify it under the terms of the GNU General Public License +## as published by the Free Software Foundation; either version 3 of +## the License, or (at your option) any later version. +## +## The fuzzy-logic-toolkit is distributed in the hope that it will be +## useful, but WITHOUT ANY WARRANTY; without even the implied warranty +## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with the fuzzy-logic-toolkit; see the file COPYING. If not, +## see <http://www.gnu.org/licenses/>. + +## Author: L. Markowsky +## Keywords: fuzzy-logic-toolkit fis +## Directory: fuzzy-logic-toolkit/inst/ +## Filename: cubic_approximator.fis +## Last-Modified: 28 Aug 2012 + +[System] +Name='Cubic-Approximator' +Type='sugeno' +Version=2.0 +NumInputs=1 +NumOutputs=1 +NumRules=11 +AndMethod='min' +OrMethod='max' +ImpMethod='prod' +AggMethod='sum' +DefuzzMethod='wtaver' + +[Input1] +Name='X' +Range=[-5 5] +NumMFs=11 +MF1 = 'About-Neg-Five':'trimf', [-6 -5 -4] +MF2 = 'About-Neg-Four':'trimf', [-5 -4 -3] +MF3 = 'About-Neg-Three':'trimf', [-4 -3 -2] +MF4 = 'About-Neg-Two':'trimf', [-3 -2 -1] +MF5 = 'About-Neg-One':'trimf', [-2 -1 0] +MF6 = 'About-Zero':'trimf', [-1 0 1] +MF7 = 'About-One':'trimf', [0 1 2] +MF8 = 'About-Two':'trimf', [1 2 3] +MF9 = 'About-Three':'trimf', [2 3 4] +MF10 = 'About-Four':'trimf', [3 4 5] +MF11 = 'About-Five':'trimf', [4 5 6] + +[Output1] +Name='Approx-X-Cubed' +Range=[-5 5] +NumMFs=11 +MF1 = 'Tangent-at-Neg-Five':'linear', [75 250] +MF2 = 'Tangent-at-Neg-Four':'linear', [48 128] +MF3 = 'Tangent-at-Neg-Three':'linear', [27 54] +MF4 = 'Tangent-at-Neg-Two':'linear', [12 16] +MF5 = 'Tangent-at-Neg-One':'linear', [3 2] +MF6 = 'Tangent-at-Zero':'linear', [0 0] +MF7 = 'Tangent-at-One':'linear', [3 -2] +MF8 = 'Tangent-at-Two':'linear', [12 -16] +MF9 = 'Tangent-at-Three':'linear', [27 -54] +MF10 = 'Tangent-at-Four':'linear', [48 -128] +MF11 = 'Tangent-at-Five':'linear', [75 -250] + +[Rules] +1, 1 (1) : 1 +2, 2 (1) : 1 +3, 3 (1) : 1 +4, 4 (1) : 1 +5, 5 (1) : 1 +6, 6 (1) : 1 +7, 7 (1) : 1 +8, 8 (1) : 1 +9, 9 (1) : 1 +10, 10 (1) : 1 +11, 11 (1) : 1 diff --git a/examples/original/takagi-sugeno/octave/cubic_approximator.fll b/examples/original/takagi-sugeno/octave/cubic_approximator.fll new file mode 100644 index 0000000..28ba40a --- /dev/null +++ b/examples/original/takagi-sugeno/octave/cubic_approximator.fll @@ -0,0 +1,50 @@ +Engine: Cubic-Approximator +InputVariable: X + enabled: true + range: -5.000 5.000 + term: AboutNegFive Triangle -6.000 -5.000 -4.000 + term: AboutNegFour Triangle -5.000 -4.000 -3.000 + term: AboutNegThree Triangle -4.000 -3.000 -2.000 + term: AboutNegTwo Triangle -3.000 -2.000 -1.000 + term: AboutNegOne Triangle -2.000 -1.000 0.000 + term: AboutZero Triangle -1.000 0.000 1.000 + term: AboutOne Triangle 0.000 1.000 2.000 + term: AboutTwo Triangle 1.000 2.000 3.000 + term: AboutThree Triangle 2.000 3.000 4.000 + term: AboutFour Triangle 3.000 4.000 5.000 + term: AboutFive Triangle 4.000 5.000 6.000 +OutputVariable: ApproxXCubed + enabled: true + range: -5.000 5.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: TangentatNegFive Linear 75.000 250.000 + term: TangentatNegFour Linear 48.000 128.000 + term: TangentatNegThree Linear 27.000 54.000 + term: TangentatNegTwo Linear 12.000 16.000 + term: TangentatNegOne Linear 3.000 2.000 + term: TangentatZero Linear 0.000 0.000 + term: TangentatOne Linear 3.000 -2.000 + term: TangentatTwo Linear 12.000 -16.000 + term: TangentatThree Linear 27.000 -54.000 + term: TangentatFour Linear 48.000 -128.000 + term: TangentatFive Linear 75.000 -250.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if X is AboutNegFive then ApproxXCubed is TangentatNegFive + rule: if X is AboutNegFour then ApproxXCubed is TangentatNegFour + rule: if X is AboutNegThree then ApproxXCubed is TangentatNegThree + rule: if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo + rule: if X is AboutNegOne then ApproxXCubed is TangentatNegOne + rule: if X is AboutZero then ApproxXCubed is TangentatZero + rule: if X is AboutOne then ApproxXCubed is TangentatOne + rule: if X is AboutTwo then ApproxXCubed is TangentatTwo + rule: if X is AboutThree then ApproxXCubed is TangentatThree + rule: if X is AboutFour then ApproxXCubed is TangentatFour + rule: if X is AboutFive then ApproxXCubed is TangentatFive diff --git a/examples/original/takagi-sugeno/octave/heart_disease_risk.fis b/examples/original/takagi-sugeno/octave/heart_disease_risk.fis new file mode 100644 index 0000000..e0e18e0 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/heart_disease_risk.fis @@ -0,0 +1,90 @@ +## Copyright (C) 2011-2012 L. Markowsky <lmarkov@users.sourceforge.net> +## +## This file is part of the fuzzy-logic-toolkit. +## +## The fuzzy-logic-toolkit is free software; you can redistribute it +## and/or modify it under the terms of the GNU General Public License +## as published by the Free Software Foundation; either version 3 of +## the License, or (at your option) any later version. +## +## The fuzzy-logic-toolkit is distributed in the hope that it will be +## useful, but WITHOUT ANY WARRANTY; without even the implied warranty +## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with the fuzzy-logic-toolkit; see the file COPYING. If not, +## see <http://www.gnu.org/licenses/>. + +## Author: L. Markowsky +## Keywords: fuzzy-logic-toolkit fis +## Directory: fuzzy-logic-toolkit/inst/ +## Filename: heart_disease_risk.fis +## Last-Modified: 28 Aug 2012 + +## Heart Disease Risk FIS + +[System] + + Name = 'Heart-Disease-Risk' + Type = 'sugeno' + Version = 2.0 + NumInputs = 2 + NumOutputs = 1 + NumRules = 15 + AndMethod = 'min' + OrMethod = 'max' + ImpMethod = 'prod' + AggMethod = 'sum' + DefuzzMethod = 'wtaver' + +[Input1] + + Name = 'LDL-Level' + Range = [0 300] + NumMFs = 5 + MF1 = 'Low' : 'trapmf', [-1 0 90 110] + MF2 = 'Low-Borderline' : 'trapmf', [90 110 120 140] + MF3 = 'Borderline' : 'trapmf', [120 140 150 170] + MF4 = 'High-Borderline' : 'trapmf', [150 170 180 200] + MF5 = 'High' : 'trapmf', [180 200 300 301] + +[Input2] + + Name = 'HDL-Level' + Range = [0 100] + NumMFs = 3 + + MF1 = 'Low-HDL' : 'trapmf', [-1 0 35 45] + MF2 = 'Moderate-HDL' : 'trapmf', [35 45 55 65] + MF3 = 'High-HDL' : 'trapmf', [55 65 100 101] + +[Output1] + + Name = 'Heart-Disease-Risk' + Range = [0 10] + NumMFs = 5 + + MF1 = 'No-Risk' : 'constant', [0] + MF2 = 'Low-Risk' : 'constant', [2.5] + MF3 = 'Medium-Risk' : 'constant', [5] + MF4 = 'High-Risk' : 'constant', [7.5] + MF5 = 'Extreme-Risk' : 'constant', [10] + +[Rules] + + 1 1, 3 (1) : 1 + 1 2, 2 (1) : 1 + 1 3, 1 (1) : 1 + 2 1, 3 (1) : 1 + 2 2, 2 (1) : 1 + 2 3, 2 (1) : 1 + 3 1, 4 (1) : 1 + 3 2, 3 (1) : 1 + 3 3, 2 (1) : 1 + 4 1, 4 (1) : 1 + 4 2, 4 (1) : 1 + 4 3, 3 (1) : 1 + 5 1, 5 (1) : 1 + 5 2, 4 (1) : 1 + 5 3, 3 (1) : 1 diff --git a/examples/original/takagi-sugeno/octave/heart_disease_risk.fll b/examples/original/takagi-sugeno/octave/heart_disease_risk.fll new file mode 100644 index 0000000..c401dd4 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/heart_disease_risk.fll @@ -0,0 +1,48 @@ +Engine: Heart-Disease-Risk +InputVariable: LDLLevel + enabled: true + range: 0.000 300.000 + term: Low Trapezoid -1.000 0.000 90.000 110.000 + term: LowBorderline Trapezoid 90.000 110.000 120.000 140.000 + term: Borderline Trapezoid 120.000 140.000 150.000 170.000 + term: HighBorderline Trapezoid 150.000 170.000 180.000 200.000 + term: High Trapezoid 180.000 200.000 300.000 301.000 +InputVariable: HDLLevel + enabled: true + range: 0.000 100.000 + term: LowHDL Trapezoid -1.000 0.000 35.000 45.000 + term: ModerateHDL Trapezoid 35.000 45.000 55.000 65.000 + term: HighHDL Trapezoid 55.000 65.000 100.000 101.000 +OutputVariable: HeartDiseaseRisk + enabled: true + range: 0.000 10.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: NoRisk Constant 0.000 + term: LowRisk Constant 2.500 + term: MediumRisk Constant 5.000 + term: HighRisk Constant 7.500 + term: ExtremeRisk Constant 10.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: none + activation: none + rule: if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk + rule: if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk + rule: if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk diff --git a/examples/original/takagi-sugeno/octave/linear_tip_calculator.fis b/examples/original/takagi-sugeno/octave/linear_tip_calculator.fis new file mode 100644 index 0000000..f387ce1 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/linear_tip_calculator.fis @@ -0,0 +1,64 @@ +## Copyright (C) 2011-2012 L. Markowsky <lmarkov@users.sourceforge.net> +## +## This file is part of the fuzzy-logic-toolkit. +## +## The fuzzy-logic-toolkit is free software; you can redistribute it +## and/or modify it under the terms of the GNU General Public License +## as published by the Free Software Foundation; either version 3 of +## the License, or (at your option) any later version. +## +## The fuzzy-logic-toolkit is distributed in the hope that it will be +## useful, but WITHOUT ANY WARRANTY; without even the implied warranty +## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with the fuzzy-logic-toolkit; see the file COPYING. If not, +## see <http://www.gnu.org/licenses/>. + +## Author: L. Markowsky +## Keywords: fuzzy-logic-toolkit fis +## Directory: fuzzy-logic-toolkit/inst/ +## Filename: linear_tip_calculator.fis +## Last-Modified: 28 Aug 2012 + +[System] +Name='Linear-Tip-Calculator' +Type='sugeno' +Version=2.0 +NumInputs=2 +NumOutputs=1 +NumRules=4 +AndMethod='min' +OrMethod='max' +ImpMethod='prod' +AggMethod='sum' +DefuzzMethod='wtaver' + +[Input1] +Name='Food-Quality' +Range=[1 10] +NumMFs=2 +MF1='Bad':'trapmf',[0 1 3 7] +MF2='Good':'trapmf',[3 7 10 11] + +[Input2] +Name='Service' +Range=[1 10] +NumMFs=2 +MF1='Bad':'trapmf',[0 1 3 7] +MF2='Good':'trapmf',[3 7 10 11] + +[Output1] +Name='Tip' +Range=[10 20] +NumMFs=3 +MF1='Ten-Percent':'linear',[0 0 10] +MF2='Fifteen-Percent':'linear',[0 0 15] +MF3='Twenty-Percent':'linear',[0 0 20] + +[Rules] +1 1, 1 (1) : 1 +1 2, 2 (1) : 1 +2 1, 2 (1) : 1 +2 2, 3 (1) : 1 diff --git a/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll b/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll new file mode 100644 index 0000000..34b0334 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/linear_tip_calculator.fll @@ -0,0 +1,31 @@ +Engine: Linear-Tip-Calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: Tip + enabled: true + range: 10.000 20.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: TenPercent Linear 0.000 0.000 10.000 + term: FifteenPercent Linear 0.000 0.000 15.000 + term: TwentyPercent Linear 0.000 0.000 20.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: none + activation: none + rule: if FoodQuality is Bad and Service is Bad then Tip is TenPercent + rule: if FoodQuality is Bad and Service is Good then Tip is FifteenPercent + rule: if FoodQuality is Good and Service is Bad then Tip is FifteenPercent + rule: if FoodQuality is Good and Service is Good then Tip is TwentyPercent diff --git a/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fis b/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fis new file mode 100644 index 0000000..78786df --- /dev/null +++ b/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fis @@ -0,0 +1,98 @@ +## Copyright (C) 2011-2012 L. Markowsky <lmarkov@users.sourceforge.net> +## +## This file is part of the fuzzy-logic-toolkit. +## +## The fuzzy-logic-toolkit is free software; you can redistribute it +## and/or modify it under the terms of the GNU General Public License +## as published by the Free Software Foundation; either version 3 of +## the License, or (at your option) any later version. +## +## The fuzzy-logic-toolkit is distributed in the hope that it will be +## useful, but WITHOUT ANY WARRANTY; without even the implied warranty +## of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with the fuzzy-logic-toolkit; see the file COPYING. If not, +## see <http://www.gnu.org/licenses/>. + +## Author: L. Markowsky +## Keywords: fuzzy-logic-toolkit fis +## Directory: fuzzy-logic-toolkit/inst/ +## Filename: sugeno_tip_calculator.fis +## Last-Modified: 28 Aug 2012 + +% Sugeno Tip Calculator + +% Computes cheap, average, and generous tips +% given food quality and service ratings. + +[System] + +Name = 'Sugeno-Tip-Calculator' +Type = 'sugeno' +Version = 1.0 +NumInputs = 2 +NumOutputs = 3 +NumRules = 10 +AndMethod = 'einstein_product' +OrMethod = 'einstein_sum' +ImpMethod = 'prod' +AggMethod = 'sum' +DefuzzMethod = 'wtaver' + +[Input1] + +Name = 'Food-Quality' +Range = [1 10] +NumMFs = 2 +MF1 = 'Bad' : 'trapmf', [0 1 3 7] +MF2 = 'Good' : 'trapmf', [3 7 10 11] + +[Input2] + +Name = 'Service' +Range = [1 10] +NumMFs = 2 +MF1 = 'Bad' : 'trapmf', [0 1 3 7] +MF2 = 'Good' : 'trapmf', [3 7 10 11] + +[Output1] + +Name = 'Cheap-Tip' +Range = [5 25] +NumMFs = 3 +MF1 = 'Low' : 'constant', [10] +MF2 = 'Medium' : 'constant', [15] +MF3 = 'High' : 'constant', [20] + +[Output2] + +Name = 'Average-Tip' +Range = [5 25] +NumMFs = 3 +MF1 = 'Low' : 'constant', [10] +MF2 = 'Medium' : 'constant', [15] +MF3 = 'High' : 'constant', [20] + +[Output3] + +Name = 'Generous-Tip' +Range = [5 25] +NumMFs = 3 +MF1 = 'Low' : 'constant', [10] +MF2 = 'Medium' : 'constant', [15] +MF3 = 'High' : 'constant', [20] + +[Rules] + + 1.30 1.30, 1.30 1.20 1.00 (1) : 1 + 2.00 1.30, 1.00 1.00 2.00 (1) : 1 + 2.20 1.20, 1.00 2.00 3.00 (1) : 1 + 1.00 1.00, 1.00 1.00 2.00 (1) : 1 + 2.00 1.00, 1.00 2.00 3.00 (1) : 1 + 2.30 1.00, 1.00 2.00 3.20 (1) : 1 + 1.00 2.00, 1.00 2.00 3.00 (1) : 1 + 2.00 2.00, 2.00 2.00 3.20 (1) : 1 + 1.20 2.20, 1.00 2.00 3.00 (1) : 1 + 2.40 2.40, 3.00 3.20 3.30 (1) : 1 diff --git a/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll b/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll new file mode 100644 index 0000000..2006e71 --- /dev/null +++ b/examples/original/takagi-sugeno/octave/sugeno_tip_calculator.fll @@ -0,0 +1,59 @@ +Engine: Sugeno-Tip-Calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: CheapTip + enabled: true + range: 5.000 25.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +OutputVariable: AverageTip + enabled: true + range: 5.000 25.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +OutputVariable: GenerousTip + enabled: true + range: 5.000 25.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: none + activation: none + rule: if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low + rule: if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + rule: if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + rule: if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High + rule: if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High + rule: if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High diff --git a/examples/original/tsukamoto/tsukamoto.fis b/examples/original/tsukamoto/tsukamoto.fis new file mode 100644 index 0000000..711e427 --- /dev/null +++ b/examples/original/tsukamoto/tsukamoto.fis @@ -0,0 +1,65 @@ +[System] +Name='' +Type='sugeno' +Version=4.0 +NumInputs=1 +NumOutputs=3 +NumRules=3 +AndMethod='' +OrMethod='' +ImpMethod='prod' +AggMethod='sum' +DefuzzMethod='wtaver' + +[Input1] +Enabled=1 +Name='X' +Range=[-10.000 10.000] +NumMFs=3 +MF1='small':'gbellmf',[5.000 3.000 -10.000] +MF2='medium':'gbellmf',[5.000 3.000 0.000] +MF3='large':'gbellmf',[5.000 3.000 10.000] + + +[Output1] +Enabled=1 +Name='A' +Range=[0.000 1.000] +Default=nan +LockPrevious=0 +LockRange=0 +NumMFs=3 +MF1='a1':'rampmf',[0.000 0.250] +MF2='a2':'rampmf',[0.600 0.400] +MF3='a3':'rampmf',[0.700 1.000] + +[Output2] +Enabled=1 +Name='B' +Range=[0.000 1.000] +Default=nan +LockPrevious=0 +LockRange=0 +NumMFs=3 +MF1='b1':'sigmf',[30.000 0.130] +MF2='b2':'sigmf',[-30.000 0.500] +MF3='b3':'sigmf',[30.000 0.830] + +[Output3] +Enabled=1 +Name='C' +Range=[0.000 1.000] +Default=nan +LockPrevious=0 +LockRange=0 +NumMFs=3 +MF1='c1':'smf',[0.000 0.250] +MF2='c2':'zmf',[0.300 0.600] +MF3='c3':'smf',[0.700 1.000] + + +[Rules] +1.0 , 1.0 1.0 1.0 (1) : 1 +2.0 , 2.0 2.0 2.0 (1) : 1 +3.0 , 3.0 3.0 3.0 (1) : 1 + diff --git a/examples/original/tsukamoto/tsukamoto.fll b/examples/original/tsukamoto/tsukamoto.fll new file mode 100644 index 0000000..1811b81 --- /dev/null +++ b/examples/original/tsukamoto/tsukamoto.fll @@ -0,0 +1,59 @@ +Engine: +InputVariable: X + enabled: true + range: -10.000 10.000 + term: small Bell -10.000 5.000 3.000 + term: medium Bell 0.000 5.000 3.000 + term: large Bell 10.000 5.000 3.000 +OutputVariable: Ramps + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage + default: nan + lock-previous: false + lock-range: false + term: b Ramp 0.600 0.400 + term: a Ramp 0.000 0.250 + term: c Ramp 0.700 1.000 +OutputVariable: Sigmoids + enabled: true + range: 0.020 1.000 + accumulation: none + defuzzifier: WeightedAverage + default: nan + lock-previous: false + lock-range: false + term: b Sigmoid 0.500 -30.000 + term: a Sigmoid 0.130 30.000 + term: c Sigmoid 0.830 30.000 +OutputVariable: ZSShapes + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage + default: nan + lock-previous: false + lock-range: false + term: b ZShape 0.300 0.600 + term: a SShape 0.000 0.250 + term: c SShape 0.700 1.000 +OutputVariable: Concaves + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage + default: nan + lock-previous: false + lock-range: false + term: b Concave 0.500 0.400 + term: a Concave 0.240 0.250 + term: c Concave 0.900 1.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a + rule: if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b + rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c
\ No newline at end of file diff --git a/examples/takagi-sugeno/SimpleDimmer.cpp b/examples/takagi-sugeno/SimpleDimmer.cpp new file mode 100644 index 0000000..bd7e6ee --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.cpp @@ -0,0 +1,44 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("simple-dimmer"); + +InputVariable* inputVariable = new InputVariable; +inputVariable->setEnabled(true); +inputVariable->setName("Ambient"); +inputVariable->setRange(0.000, 1.000); +inputVariable->addTerm(new Triangle("DARK", 0.000, 0.250, 0.500)); +inputVariable->addTerm(new Triangle("MEDIUM", 0.250, 0.500, 0.750)); +inputVariable->addTerm(new Triangle("BRIGHT", 0.500, 0.750, 1.000)); +engine->addInputVariable(inputVariable); + +OutputVariable* outputVariable = new OutputVariable; +outputVariable->setEnabled(true); +outputVariable->setName("Power"); +outputVariable->setRange(0.000, 1.000); +outputVariable->fuzzyOutput()->setAccumulation(fl::null); +outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable->setDefaultValue(fl::nan); +outputVariable->setLockPreviousOutputValue(false); +outputVariable->setLockOutputValueInRange(false); +outputVariable->addTerm(new Constant("LOW", 0.250)); +outputVariable->addTerm(new Constant("MEDIUM", 0.500)); +outputVariable->addTerm(new Constant("HIGH", 0.750)); +engine->addOutputVariable(outputVariable); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(fl::null); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock->addRule(fl::Rule::parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock->addRule(fl::Rule::parse("if Ambient is BRIGHT then Power is LOW", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/takagi-sugeno/SimpleDimmer.fcl b/examples/takagi-sugeno/SimpleDimmer.fcl new file mode 100644 index 0000000..65ccd94 --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.fcl @@ -0,0 +1,33 @@ +FUNCTION_BLOCK simple-dimmer + +VAR_INPUT + Ambient: REAL; +END_VAR + +VAR_OUTPUT + Power: 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 := 0.250; + TERM MEDIUM := 0.500; + TERM HIGH := 0.750; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + 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 +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/SimpleDimmer.fis b/examples/takagi-sugeno/SimpleDimmer.fis new file mode 100644 index 0000000..9557f61 --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.fis @@ -0,0 +1,32 @@ +[System] +Name='simple-dimmer' +Type='sugeno' +NumInputs=1 +NumOutputs=1 +NumRules=3 +AndMethod='' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[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':'constant',[0.250] +MF2='MEDIUM':'constant',[0.500] +MF3='HIGH':'constant',[0.750] + +[Rules] +1.000 , 3.000 (1.000) : 1 +2.000 , 2.000 (1.000) : 1 +3.000 , 1.000 (1.000) : 1 diff --git a/examples/takagi-sugeno/SimpleDimmer.fld b/examples/takagi-sugeno/SimpleDimmer.fld new file mode 100644 index 0000000..6efef0a --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.fld @@ -0,0 +1,1026 @@ +#@Engine: simple-dimmer; +#@InputVariable: Ambient; @OutputVariable: Power; +0.00000000 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1.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: LOW Constant 0.250 + term: MEDIUM Constant 0.500 + term: HIGH Constant 0.750 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if Ambient is DARK then Power is HIGH + rule: if Ambient is MEDIUM then Power is MEDIUM + rule: if Ambient is BRIGHT then Power is LOW
\ No newline at end of file diff --git a/examples/takagi-sugeno/SimpleDimmer.java b/examples/takagi-sugeno/SimpleDimmer.java new file mode 100644 index 0000000..6d60f0e --- /dev/null +++ b/examples/takagi-sugeno/SimpleDimmer.java @@ -0,0 +1,54 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class SimpleDimmer{ +public static void main(String[] args){ +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(null); +outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable.setDefaultValue(Double.NaN); +outputVariable.setLockPreviousOutputValue(false); +outputVariable.setLockOutputValueInRange(false); +outputVariable.addTerm(new Constant("LOW", 0.250)); +outputVariable.addTerm(new Constant("MEDIUM", 0.500)); +outputVariable.addTerm(new Constant("HIGH", 0.750)); +engine.addOutputVariable(outputVariable); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if Ambient is DARK then Power is HIGH", engine)); +ruleBlock.addRule(Rule.parse("if Ambient is MEDIUM then Power is MEDIUM", engine)); +ruleBlock.addRule(Rule.parse("if Ambient is BRIGHT then Power is LOW", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/takagi-sugeno/approximation.cpp b/examples/takagi-sugeno/approximation.cpp new file mode 100644 index 0000000..178f162 --- /dev/null +++ b/examples/takagi-sugeno/approximation.cpp @@ -0,0 +1,87 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("approximation of sin(x)/x"); + +InputVariable* inputVariable = new InputVariable; +inputVariable->setEnabled(true); +inputVariable->setName("inputX"); +inputVariable->setRange(0.000, 10.000); +inputVariable->addTerm(new Triangle("NEAR_1", 0.000, 1.000, 2.000)); +inputVariable->addTerm(new Triangle("NEAR_2", 1.000, 2.000, 3.000)); +inputVariable->addTerm(new Triangle("NEAR_3", 2.000, 3.000, 4.000)); +inputVariable->addTerm(new Triangle("NEAR_4", 3.000, 4.000, 5.000)); +inputVariable->addTerm(new Triangle("NEAR_5", 4.000, 5.000, 6.000)); +inputVariable->addTerm(new Triangle("NEAR_6", 5.000, 6.000, 7.000)); +inputVariable->addTerm(new Triangle("NEAR_7", 6.000, 7.000, 8.000)); +inputVariable->addTerm(new Triangle("NEAR_8", 7.000, 8.000, 9.000)); +inputVariable->addTerm(new Triangle("NEAR_9", 8.000, 9.000, 10.000)); +engine->addInputVariable(inputVariable); + +OutputVariable* outputVariable1 = new OutputVariable; +outputVariable1->setEnabled(true); +outputVariable1->setName("outputFx"); +outputVariable1->setRange(-1.000, 1.000); +outputVariable1->fuzzyOutput()->setAccumulation(fl::null); +outputVariable1->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable1->setDefaultValue(fl::nan); +outputVariable1->setLockPreviousOutputValue(true); +outputVariable1->setLockOutputValueInRange(false); +outputVariable1->addTerm(new Constant("f1", 0.840)); +outputVariable1->addTerm(new Constant("f2", 0.450)); +outputVariable1->addTerm(new Constant("f3", 0.040)); +outputVariable1->addTerm(new Constant("f4", -0.180)); +outputVariable1->addTerm(new Constant("f5", -0.190)); +outputVariable1->addTerm(new Constant("f6", -0.040)); +outputVariable1->addTerm(new Constant("f7", 0.090)); +outputVariable1->addTerm(new Constant("f8", 0.120)); +outputVariable1->addTerm(new Constant("f9", 0.040)); +engine->addOutputVariable(outputVariable1); + +OutputVariable* outputVariable2 = new OutputVariable; +outputVariable2->setEnabled(true); +outputVariable2->setName("trueFx"); +outputVariable2->setRange(-1.000, 1.000); +outputVariable2->fuzzyOutput()->setAccumulation(fl::null); +outputVariable2->setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable2->setDefaultValue(fl::nan); +outputVariable2->setLockPreviousOutputValue(true); +outputVariable2->setLockOutputValueInRange(false); +outputVariable2->addTerm(Function::create("fx", "sin(inputX)/inputX", engine)); +engine->addOutputVariable(outputVariable2); + +OutputVariable* outputVariable3 = new OutputVariable; +outputVariable3->setEnabled(true); +outputVariable3->setName("diffFx"); +outputVariable3->setRange(-1.000, 1.000); +outputVariable3->fuzzyOutput()->setAccumulation(fl::null); +outputVariable3->setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable3->setDefaultValue(fl::nan); +outputVariable3->setLockPreviousOutputValue(false); +outputVariable3->setLockOutputValueInRange(false); +outputVariable3->addTerm(Function::create("diff", "fabs(outputFx-trueFx)", engine)); +engine->addOutputVariable(outputVariable3); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(fl::null); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_1 then outputFx is f1", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_2 then outputFx is f2", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_3 then outputFx is f3", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_4 then outputFx is f4", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_5 then outputFx is f5", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_6 then outputFx is f6", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_7 then outputFx is f7", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_8 then outputFx is f8", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is NEAR_9 then outputFx is f9", engine)); +ruleBlock->addRule(fl::Rule::parse("if inputX is any then trueFx is fx and diffFx is diff", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/takagi-sugeno/approximation.fcl b/examples/takagi-sugeno/approximation.fcl new file mode 100644 index 0000000..8b5f121 --- /dev/null +++ b/examples/takagi-sugeno/approximation.fcl @@ -0,0 +1,68 @@ +FUNCTION_BLOCK approximation of sin(x)/x + +VAR_INPUT + inputX: REAL; +END_VAR + +VAR_OUTPUT + outputFx: REAL; + trueFx: REAL; + diffFx: REAL; +END_VAR + +FUZZIFY inputX + RANGE := (0.000 .. 10.000); + TERM NEAR_1 := Triangle 0.000 1.000 2.000; + TERM NEAR_2 := Triangle 1.000 2.000 3.000; + TERM NEAR_3 := Triangle 2.000 3.000 4.000; + TERM NEAR_4 := Triangle 3.000 4.000 5.000; + TERM NEAR_5 := Triangle 4.000 5.000 6.000; + TERM NEAR_6 := Triangle 5.000 6.000 7.000; + TERM NEAR_7 := Triangle 6.000 7.000 8.000; + TERM NEAR_8 := Triangle 7.000 8.000 9.000; + TERM NEAR_9 := Triangle 8.000 9.000 10.000; +END_FUZZIFY + +DEFUZZIFY outputFx + RANGE := (-1.000 .. 1.000); + TERM f1 := 0.840; + TERM f2 := 0.450; + TERM f3 := 0.040; + TERM f4 := -0.180; + TERM f5 := -0.190; + TERM f6 := -0.040; + TERM f7 := 0.090; + TERM f8 := 0.120; + TERM f9 := 0.040; + METHOD : COGS; + DEFAULT := nan | NC; +END_DEFUZZIFY + +DEFUZZIFY trueFx + RANGE := (-1.000 .. 1.000); + TERM fx := Function sin(inputX)/inputX; + METHOD : COGS; + DEFAULT := nan | NC; +END_DEFUZZIFY + +DEFUZZIFY diffFx + RANGE := (-1.000 .. 1.000); + TERM diff := Function fabs(outputFx-trueFx); + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + RULE 1 : if inputX is NEAR_1 then outputFx is f1 + RULE 2 : if inputX is NEAR_2 then outputFx is f2 + RULE 3 : if inputX is NEAR_3 then outputFx is f3 + RULE 4 : if inputX is NEAR_4 then outputFx is f4 + RULE 5 : if inputX is NEAR_5 then outputFx is f5 + RULE 6 : if inputX is NEAR_6 then outputFx is f6 + RULE 7 : if inputX is NEAR_7 then outputFx is f7 + RULE 8 : if inputX is NEAR_8 then outputFx is f8 + RULE 9 : if inputX is NEAR_9 then outputFx is f9 + RULE 10 : if inputX is any then trueFx is fx and diffFx is diff +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/approximation.fis b/examples/takagi-sugeno/approximation.fis new file mode 100644 index 0000000..73075bc --- /dev/null +++ b/examples/takagi-sugeno/approximation.fis @@ -0,0 +1,65 @@ +[System] +Name='approximation of sin(x)/x' +Type='sugeno' +NumInputs=1 +NumOutputs=3 +NumRules=10 +AndMethod='' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[Input1] +Name='inputX' +Range=[0.000 10.000] +NumMFs=9 +MF1='NEAR_1':'trimf',[0.000 1.000 2.000] +MF2='NEAR_2':'trimf',[1.000 2.000 3.000] +MF3='NEAR_3':'trimf',[2.000 3.000 4.000] +MF4='NEAR_4':'trimf',[3.000 4.000 5.000] +MF5='NEAR_5':'trimf',[4.000 5.000 6.000] +MF6='NEAR_6':'trimf',[5.000 6.000 7.000] +MF7='NEAR_7':'trimf',[6.000 7.000 8.000] +MF8='NEAR_8':'trimf',[7.000 8.000 9.000] +MF9='NEAR_9':'trimf',[8.000 9.000 10.000] + +[Output1] +Name='outputFx' +Range=[-1.000 1.000] +LockPrevious=1 +NumMFs=9 +MF1='f1':'constant',[0.840] +MF2='f2':'constant',[0.450] +MF3='f3':'constant',[0.040] +MF4='f4':'constant',[-0.180] +MF5='f5':'constant',[-0.190] +MF6='f6':'constant',[-0.040] +MF7='f7':'constant',[0.090] +MF8='f8':'constant',[0.120] +MF9='f9':'constant',[0.040] + +[Output2] +Name='trueFx' +Range=[-1.000 1.000] +LockPrevious=1 +NumMFs=1 +MF1='fx':'function',[sin(inputX)/inputX] + +[Output3] +Name='diffFx' +Range=[-1.000 1.000] +NumMFs=1 +MF1='diff':'function',[fabs(outputFx-trueFx)] + +[Rules] +1.000 , 1.000 0.000 0.000 (1.000) : 1 +2.000 , 2.000 0.000 0.000 (1.000) : 1 +3.000 , 3.000 0.000 0.000 (1.000) : 1 +4.000 , 4.000 0.000 0.000 (1.000) : 1 +5.000 , 5.000 0.000 0.000 (1.000) : 1 +6.000 , 6.000 0.000 0.000 (1.000) : 1 +7.000 , 7.000 0.000 0.000 (1.000) : 1 +8.000 , 8.000 0.000 0.000 (1.000) : 1 +9.000 , 9.000 0.000 0.000 (1.000) : 1 +0.990 , 0.000 1.000 1.000 (1.000) : 1 diff --git a/examples/takagi-sugeno/approximation.fld b/examples/takagi-sugeno/approximation.fld new file mode 100644 index 0000000..36bdbd8 --- /dev/null +++ b/examples/takagi-sugeno/approximation.fld @@ -0,0 +1,1026 @@ +#@Engine: approximation of sin(x)/x; +#@InputVariable: inputX; @OutputVariable: outputFx; @OutputVariable: trueFx; @OutputVariable: diffFx; +0.00000000 nan nan nan 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+10.00000000 0.04000000 -0.05440211 0.09440211 diff --git a/examples/takagi-sugeno/approximation.fll b/examples/takagi-sugeno/approximation.fll new file mode 100644 index 0000000..1d166c9 --- /dev/null +++ b/examples/takagi-sugeno/approximation.fll @@ -0,0 +1,63 @@ +Engine: approximation of sin(x)/x +InputVariable: inputX + enabled: true + range: 0.000 10.000 + term: NEAR_1 Triangle 0.000 1.000 2.000 + term: NEAR_2 Triangle 1.000 2.000 3.000 + term: NEAR_3 Triangle 2.000 3.000 4.000 + term: NEAR_4 Triangle 3.000 4.000 5.000 + term: NEAR_5 Triangle 4.000 5.000 6.000 + term: NEAR_6 Triangle 5.000 6.000 7.000 + term: NEAR_7 Triangle 6.000 7.000 8.000 + term: NEAR_8 Triangle 7.000 8.000 9.000 + term: NEAR_9 Triangle 8.000 9.000 10.000 +OutputVariable: outputFx + enabled: true + range: -1.000 1.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: true + lock-range: false + term: f1 Constant 0.840 + term: f2 Constant 0.450 + term: f3 Constant 0.040 + term: f4 Constant -0.180 + term: f5 Constant -0.190 + term: f6 Constant -0.040 + term: f7 Constant 0.090 + term: f8 Constant 0.120 + term: f9 Constant 0.040 +OutputVariable: trueFx + enabled: true + range: -1.000 1.000 + accumulation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: true + lock-range: false + term: fx Function sin(inputX)/inputX +OutputVariable: diffFx + enabled: true + range: -1.000 1.000 + accumulation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + lock-range: false + term: diff Function fabs(outputFx-trueFx) +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if inputX is NEAR_1 then outputFx is f1 + rule: if inputX is NEAR_2 then outputFx is f2 + rule: if inputX is NEAR_3 then outputFx is f3 + rule: if inputX is NEAR_4 then outputFx is f4 + rule: if inputX is NEAR_5 then outputFx is f5 + rule: if inputX is NEAR_6 then outputFx is f6 + rule: if inputX is NEAR_7 then outputFx is f7 + rule: if inputX is NEAR_8 then outputFx is f8 + rule: if inputX is NEAR_9 then outputFx is f9 + rule: if inputX is any then trueFx is fx and diffFx is diff
\ No newline at end of file diff --git a/examples/takagi-sugeno/approximation.java b/examples/takagi-sugeno/approximation.java new file mode 100644 index 0000000..c3d98e1 --- /dev/null +++ b/examples/takagi-sugeno/approximation.java @@ -0,0 +1,97 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class approximation{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("approximation of sin(x)/x"); + +InputVariable inputVariable = new InputVariable(); +inputVariable.setEnabled(true); +inputVariable.setName("inputX"); +inputVariable.setRange(0.000, 10.000); +inputVariable.addTerm(new Triangle("NEAR_1", 0.000, 1.000, 2.000)); +inputVariable.addTerm(new Triangle("NEAR_2", 1.000, 2.000, 3.000)); +inputVariable.addTerm(new Triangle("NEAR_3", 2.000, 3.000, 4.000)); +inputVariable.addTerm(new Triangle("NEAR_4", 3.000, 4.000, 5.000)); +inputVariable.addTerm(new Triangle("NEAR_5", 4.000, 5.000, 6.000)); +inputVariable.addTerm(new Triangle("NEAR_6", 5.000, 6.000, 7.000)); +inputVariable.addTerm(new Triangle("NEAR_7", 6.000, 7.000, 8.000)); +inputVariable.addTerm(new Triangle("NEAR_8", 7.000, 8.000, 9.000)); +inputVariable.addTerm(new Triangle("NEAR_9", 8.000, 9.000, 10.000)); +engine.addInputVariable(inputVariable); + +OutputVariable outputVariable1 = new OutputVariable(); +outputVariable1.setEnabled(true); +outputVariable1.setName("outputFx"); +outputVariable1.setRange(-1.000, 1.000); +outputVariable1.fuzzyOutput().setAccumulation(null); +outputVariable1.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable1.setDefaultValue(Double.NaN); +outputVariable1.setLockPreviousOutputValue(true); +outputVariable1.setLockOutputValueInRange(false); +outputVariable1.addTerm(new Constant("f1", 0.840)); +outputVariable1.addTerm(new Constant("f2", 0.450)); +outputVariable1.addTerm(new Constant("f3", 0.040)); +outputVariable1.addTerm(new Constant("f4", -0.180)); +outputVariable1.addTerm(new Constant("f5", -0.190)); +outputVariable1.addTerm(new Constant("f6", -0.040)); +outputVariable1.addTerm(new Constant("f7", 0.090)); +outputVariable1.addTerm(new Constant("f8", 0.120)); +outputVariable1.addTerm(new Constant("f9", 0.040)); +engine.addOutputVariable(outputVariable1); + +OutputVariable outputVariable2 = new OutputVariable(); +outputVariable2.setEnabled(true); +outputVariable2.setName("trueFx"); +outputVariable2.setRange(-1.000, 1.000); +outputVariable2.fuzzyOutput().setAccumulation(null); +outputVariable2.setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable2.setDefaultValue(Double.NaN); +outputVariable2.setLockPreviousOutputValue(true); +outputVariable2.setLockOutputValueInRange(false); +outputVariable2.addTerm(Function.create("fx", "sin(inputX)/inputX", engine)); +engine.addOutputVariable(outputVariable2); + +OutputVariable outputVariable3 = new OutputVariable(); +outputVariable3.setEnabled(true); +outputVariable3.setName("diffFx"); +outputVariable3.setRange(-1.000, 1.000); +outputVariable3.fuzzyOutput().setAccumulation(null); +outputVariable3.setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable3.setDefaultValue(Double.NaN); +outputVariable3.setLockPreviousOutputValue(false); +outputVariable3.setLockOutputValueInRange(false); +outputVariable3.addTerm(Function.create("diff", "fabs(outputFx-trueFx)", engine)); +engine.addOutputVariable(outputVariable3); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_1 then outputFx is f1", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_2 then outputFx is f2", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_3 then outputFx is f3", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_4 then outputFx is f4", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_5 then outputFx is f5", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_6 then outputFx is f6", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_7 then outputFx is f7", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_8 then outputFx is f8", engine)); +ruleBlock.addRule(Rule.parse("if inputX is NEAR_9 then outputFx is f9", engine)); +ruleBlock.addRule(Rule.parse("if inputX is any then trueFx is fx and diffFx is diff", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/takagi-sugeno/octave/COPYING b/examples/takagi-sugeno/octave/COPYING new file mode 100644 index 0000000..94a9ed0 --- /dev/null +++ b/examples/takagi-sugeno/octave/COPYING @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + <one line to give the program's name and a brief idea of what it does.> + Copyright (C) <year> <name of author> + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see <http://www.gnu.org/licenses/>. + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + <program> Copyright (C) <year> <name of author> + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +<http://www.gnu.org/licenses/>. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +<http://www.gnu.org/philosophy/why-not-lgpl.html>. diff --git a/examples/takagi-sugeno/octave/DESCRIPTION b/examples/takagi-sugeno/octave/DESCRIPTION new file mode 100644 index 0000000..35df57d --- /dev/null +++ b/examples/takagi-sugeno/octave/DESCRIPTION @@ -0,0 +1,12 @@ +Name: fuzzy-logic-toolkit +Version: 0.4.2 +Date: 2012-10-02 +Author: L. Markowsky <lmarkov@users.sourceforge.net> +Maintainer: L. Markowsky <lmarkov@users.sourceforge.net> +Title: Octave Fuzzy Logic Toolkit +Description: A mostly MATLAB-compatible fuzzy logic toolkit for Octave. +Depends: octave (>= 3.2.4) +Autoload: no +License: GPLv3+ +Url: http://octave.sf.net + http://sf.net/projects/octave-fuzzy diff --git a/examples/takagi-sugeno/octave/cubic_approximator.cpp b/examples/takagi-sugeno/octave/cubic_approximator.cpp new file mode 100644 index 0000000..6941fa5 --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.cpp @@ -0,0 +1,68 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Cubic-Approximator"); + +InputVariable* inputVariable = new InputVariable; +inputVariable->setEnabled(true); +inputVariable->setName("X"); +inputVariable->setRange(-5.000, 5.000); +inputVariable->addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000)); +inputVariable->addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000)); +inputVariable->addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000)); +inputVariable->addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000)); +inputVariable->addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000)); +inputVariable->addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000)); +inputVariable->addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000)); +inputVariable->addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000)); +inputVariable->addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000)); +inputVariable->addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000)); +inputVariable->addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000)); +engine->addInputVariable(inputVariable); + +OutputVariable* outputVariable = new OutputVariable; +outputVariable->setEnabled(true); +outputVariable->setName("ApproxXCubed"); +outputVariable->setRange(-5.000, 5.000); +outputVariable->fuzzyOutput()->setAccumulation(fl::null); +outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable->setDefaultValue(fl::nan); +outputVariable->setLockPreviousOutputValue(false); +outputVariable->setLockOutputValueInRange(false); +outputVariable->addTerm(Linear::create("TangentatNegFive", engine, 75.000, 250.000)); +outputVariable->addTerm(Linear::create("TangentatNegFour", engine, 48.000, 128.000)); +outputVariable->addTerm(Linear::create("TangentatNegThree", engine, 27.000, 54.000)); +outputVariable->addTerm(Linear::create("TangentatNegTwo", engine, 12.000, 16.000)); +outputVariable->addTerm(Linear::create("TangentatNegOne", engine, 3.000, 2.000)); +outputVariable->addTerm(Linear::create("TangentatZero", engine, 0.000, 0.000)); +outputVariable->addTerm(Linear::create("TangentatOne", engine, 3.000, -2.000)); +outputVariable->addTerm(Linear::create("TangentatTwo", engine, 12.000, -16.000)); +outputVariable->addTerm(Linear::create("TangentatThree", engine, 27.000, -54.000)); +outputVariable->addTerm(Linear::create("TangentatFour", engine, 48.000, -128.000)); +outputVariable->addTerm(Linear::create("TangentatFive", engine, 75.000, -250.000)); +engine->addOutputVariable(outputVariable); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(fl::null); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if X is AboutNegFive then ApproxXCubed is TangentatNegFive", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutNegFour then ApproxXCubed is TangentatNegFour", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutNegThree then ApproxXCubed is TangentatNegThree", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutNegOne then ApproxXCubed is TangentatNegOne", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutZero then ApproxXCubed is TangentatZero", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutOne then ApproxXCubed is TangentatOne", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutTwo then ApproxXCubed is TangentatTwo", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutThree then ApproxXCubed is TangentatThree", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutFour then ApproxXCubed is TangentatFour", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is AboutFive then ApproxXCubed is TangentatFive", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fcl b/examples/takagi-sugeno/octave/cubic_approximator.fcl new file mode 100644 index 0000000..db88e44 --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.fcl @@ -0,0 +1,57 @@ +FUNCTION_BLOCK Cubic-Approximator + +VAR_INPUT + X: REAL; +END_VAR + +VAR_OUTPUT + ApproxXCubed: REAL; +END_VAR + +FUZZIFY X + RANGE := (-5.000 .. 5.000); + TERM AboutNegFive := Triangle -6.000 -5.000 -4.000; + TERM AboutNegFour := Triangle -5.000 -4.000 -3.000; + TERM AboutNegThree := Triangle -4.000 -3.000 -2.000; + TERM AboutNegTwo := Triangle -3.000 -2.000 -1.000; + TERM AboutNegOne := Triangle -2.000 -1.000 0.000; + TERM AboutZero := Triangle -1.000 0.000 1.000; + TERM AboutOne := Triangle 0.000 1.000 2.000; + TERM AboutTwo := Triangle 1.000 2.000 3.000; + TERM AboutThree := Triangle 2.000 3.000 4.000; + TERM AboutFour := Triangle 3.000 4.000 5.000; + TERM AboutFive := Triangle 4.000 5.000 6.000; +END_FUZZIFY + +DEFUZZIFY ApproxXCubed + RANGE := (-5.000 .. 5.000); + TERM TangentatNegFive := Linear 75.000 250.000; + TERM TangentatNegFour := Linear 48.000 128.000; + TERM TangentatNegThree := Linear 27.000 54.000; + TERM TangentatNegTwo := Linear 12.000 16.000; + TERM TangentatNegOne := Linear 3.000 2.000; + TERM TangentatZero := Linear 0.000 0.000; + TERM TangentatOne := Linear 3.000 -2.000; + TERM TangentatTwo := Linear 12.000 -16.000; + TERM TangentatThree := Linear 27.000 -54.000; + TERM TangentatFour := Linear 48.000 -128.000; + TERM TangentatFive := Linear 75.000 -250.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + RULE 1 : if X is AboutNegFive then ApproxXCubed is TangentatNegFive + RULE 2 : if X is AboutNegFour then ApproxXCubed is TangentatNegFour + RULE 3 : if X is AboutNegThree then ApproxXCubed is TangentatNegThree + RULE 4 : if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo + RULE 5 : if X is AboutNegOne then ApproxXCubed is TangentatNegOne + RULE 6 : if X is AboutZero then ApproxXCubed is TangentatZero + RULE 7 : if X is AboutOne then ApproxXCubed is TangentatOne + RULE 8 : if X is AboutTwo then ApproxXCubed is TangentatTwo + RULE 9 : if X is AboutThree then ApproxXCubed is TangentatThree + RULE 10 : if X is AboutFour then ApproxXCubed is TangentatFour + RULE 11 : if X is AboutFive then ApproxXCubed is TangentatFive +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fis b/examples/takagi-sugeno/octave/cubic_approximator.fis new file mode 100644 index 0000000..b69675b --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.fis @@ -0,0 +1,56 @@ +[System] +Name='Cubic-Approximator' +Type='sugeno' +NumInputs=1 +NumOutputs=1 +NumRules=11 +AndMethod='' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[Input1] +Name='X' +Range=[-5.000 5.000] +NumMFs=11 +MF1='AboutNegFive':'trimf',[-6.000 -5.000 -4.000] +MF2='AboutNegFour':'trimf',[-5.000 -4.000 -3.000] +MF3='AboutNegThree':'trimf',[-4.000 -3.000 -2.000] +MF4='AboutNegTwo':'trimf',[-3.000 -2.000 -1.000] +MF5='AboutNegOne':'trimf',[-2.000 -1.000 0.000] +MF6='AboutZero':'trimf',[-1.000 0.000 1.000] +MF7='AboutOne':'trimf',[0.000 1.000 2.000] +MF8='AboutTwo':'trimf',[1.000 2.000 3.000] +MF9='AboutThree':'trimf',[2.000 3.000 4.000] +MF10='AboutFour':'trimf',[3.000 4.000 5.000] +MF11='AboutFive':'trimf',[4.000 5.000 6.000] + +[Output1] +Name='ApproxXCubed' +Range=[-5.000 5.000] +NumMFs=11 +MF1='TangentatNegFive':'linear',[75.000 250.000] +MF2='TangentatNegFour':'linear',[48.000 128.000] +MF3='TangentatNegThree':'linear',[27.000 54.000] +MF4='TangentatNegTwo':'linear',[12.000 16.000] +MF5='TangentatNegOne':'linear',[3.000 2.000] +MF6='TangentatZero':'linear',[0.000 0.000] +MF7='TangentatOne':'linear',[3.000 -2.000] +MF8='TangentatTwo':'linear',[12.000 -16.000] +MF9='TangentatThree':'linear',[27.000 -54.000] +MF10='TangentatFour':'linear',[48.000 -128.000] +MF11='TangentatFive':'linear',[75.000 -250.000] + +[Rules] +1.000 , 1.000 (1.000) : 1 +2.000 , 2.000 (1.000) : 1 +3.000 , 3.000 (1.000) : 1 +4.000 , 4.000 (1.000) : 1 +5.000 , 5.000 (1.000) : 1 +6.000 , 6.000 (1.000) : 1 +7.000 , 7.000 (1.000) : 1 +8.000 , 8.000 (1.000) : 1 +9.000 , 9.000 (1.000) : 1 +10.000 , 10.000 (1.000) : 1 +11.000 , 11.000 (1.000) : 1 diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fld b/examples/takagi-sugeno/octave/cubic_approximator.fld new file mode 100644 index 0000000..e13c169 --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.fld @@ -0,0 +1,1026 @@ +#@Engine: Cubic-Approximator; +#@InputVariable: X; @OutputVariable: ApproxXCubed; +-5.00000000 -125.00000000 +-4.99022483 -124.14236490 +-4.98044966 -123.28988972 +-4.97067449 -122.44257445 +-4.96089932 -121.60041910 +-4.95112414 -120.76342366 +-4.94134897 -119.93158814 +-4.93157380 -119.10491253 +-4.92179863 -118.28339683 +-4.91202346 -117.46704105 +-4.90224829 -116.65584518 +-4.89247312 -115.84980923 +-4.88269795 -115.04893319 +-4.87292278 -114.25321706 +-4.86314761 -113.46266085 +-4.85337243 -112.67726456 +-4.84359726 -111.89702818 +-4.83382209 -111.12195171 +-4.82404692 -110.35203516 +-4.81427175 -109.58727852 +-4.80449658 -108.82768179 +-4.79472141 -108.07324498 +-4.78494624 -107.32396809 +-4.77517107 -106.57985111 +-4.76539589 -105.84089404 +-4.75562072 -105.10709689 +-4.74584555 -104.37845965 +-4.73607038 -103.65498233 +-4.72629521 -102.93666492 +-4.71652004 -102.22350742 +-4.70674487 -101.51550984 +-4.69696970 -100.81267218 +-4.68719453 -100.11499442 +-4.67741935 -99.42247659 +-4.66764418 -98.73511866 +-4.65786901 -98.05292065 +-4.64809384 -97.37588256 +-4.63831867 -96.70400438 +-4.62854350 -96.03728611 +-4.61876833 -95.37572776 +-4.60899316 -94.71932933 +-4.59921799 -94.06809080 +-4.58944282 -93.42201219 +-4.57966764 -92.78109350 +-4.56989247 -92.14533472 +-4.56011730 -91.51473586 +-4.55034213 -90.88929690 +-4.54056696 -90.26901787 +-4.53079179 -89.65389875 +-4.52101662 -89.04393954 +-4.51124145 -88.43914024 +-4.50146628 -87.83950086 +-4.49169110 -87.24502140 +-4.48191593 -86.65570185 +-4.47214076 -86.07154221 +-4.46236559 -85.49254249 +-4.45259042 -84.91870268 +-4.44281525 -84.35002279 +-4.43304008 -83.78650281 +-4.42326491 -83.22814275 +-4.41348974 -82.67494260 +-4.40371457 -82.12690236 +-4.39393939 -81.58402204 +-4.38416422 -81.04630163 +-4.37438905 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+-3.99315738 -63.60411131 +-3.98338221 -63.04196730 +-3.97360704 -62.48383657 +-3.96383187 -61.92971910 +-3.95405670 -61.37961490 +-3.94428152 -60.83352396 +-3.93450635 -60.29144630 +-3.92473118 -59.75338189 +-3.91495601 -59.21933076 +-3.90518084 -58.68929289 +-3.89540567 -58.16326829 +-3.88563050 -57.64125696 +-3.87585533 -57.12325889 +-3.86608016 -56.60927409 +-3.85630499 -56.09930255 +-3.84652981 -55.59334428 +-3.83675464 -55.09139928 +-3.82697947 -54.59346755 +-3.81720430 -54.09954908 +-3.80742913 -53.60964388 +-3.79765396 -53.12375195 +-3.78787879 -52.64187328 +-3.77810362 -52.16400788 +-3.76832845 -51.69015574 +-3.75855327 -51.22031688 +-3.74877810 -50.75449128 +-3.73900293 -50.29267894 +-3.72922776 -49.83487987 +-3.71945259 -49.38109407 +-3.70967742 -48.93132154 +-3.69990225 -48.48556227 +-3.69012708 -48.04381627 +-3.68035191 -47.60608354 +-3.67057674 -47.17236407 +-3.66080156 -46.74265787 +-3.65102639 -46.31696494 +-3.64125122 -45.89528527 +-3.63147605 -45.47761887 +-3.62170088 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+4.80449658 108.82768179 +4.81427175 109.58727852 +4.82404692 110.35203516 +4.83382209 111.12195171 +4.84359726 111.89702818 +4.85337243 112.67726456 +4.86314761 113.46266085 +4.87292278 114.25321706 +4.88269795 115.04893319 +4.89247312 115.84980923 +4.90224829 116.65584518 +4.91202346 117.46704105 +4.92179863 118.28339683 +4.93157380 119.10491253 +4.94134897 119.93158814 +4.95112414 120.76342366 +4.96089932 121.60041910 +4.97067449 122.44257445 +4.98044966 123.28988972 +4.99022483 124.14236490 +5.00000000 125.00000000 diff --git a/examples/takagi-sugeno/octave/cubic_approximator.fll b/examples/takagi-sugeno/octave/cubic_approximator.fll new file mode 100644 index 0000000..073e70e --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.fll @@ -0,0 +1,50 @@ +Engine: Cubic-Approximator +InputVariable: X + enabled: true + range: -5.000 5.000 + term: AboutNegFive Triangle -6.000 -5.000 -4.000 + term: AboutNegFour Triangle -5.000 -4.000 -3.000 + term: AboutNegThree Triangle -4.000 -3.000 -2.000 + term: AboutNegTwo Triangle -3.000 -2.000 -1.000 + term: AboutNegOne Triangle -2.000 -1.000 0.000 + term: AboutZero Triangle -1.000 0.000 1.000 + term: AboutOne Triangle 0.000 1.000 2.000 + term: AboutTwo Triangle 1.000 2.000 3.000 + term: AboutThree Triangle 2.000 3.000 4.000 + term: AboutFour Triangle 3.000 4.000 5.000 + term: AboutFive Triangle 4.000 5.000 6.000 +OutputVariable: ApproxXCubed + enabled: true + range: -5.000 5.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: TangentatNegFive Linear 75.000 250.000 + term: TangentatNegFour Linear 48.000 128.000 + term: TangentatNegThree Linear 27.000 54.000 + term: TangentatNegTwo Linear 12.000 16.000 + term: TangentatNegOne Linear 3.000 2.000 + term: TangentatZero Linear 0.000 0.000 + term: TangentatOne Linear 3.000 -2.000 + term: TangentatTwo Linear 12.000 -16.000 + term: TangentatThree Linear 27.000 -54.000 + term: TangentatFour Linear 48.000 -128.000 + term: TangentatFive Linear 75.000 -250.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if X is AboutNegFive then ApproxXCubed is TangentatNegFive + rule: if X is AboutNegFour then ApproxXCubed is TangentatNegFour + rule: if X is AboutNegThree then ApproxXCubed is TangentatNegThree + rule: if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo + rule: if X is AboutNegOne then ApproxXCubed is TangentatNegOne + rule: if X is AboutZero then ApproxXCubed is TangentatZero + rule: if X is AboutOne then ApproxXCubed is TangentatOne + rule: if X is AboutTwo then ApproxXCubed is TangentatTwo + rule: if X is AboutThree then ApproxXCubed is TangentatThree + rule: if X is AboutFour then ApproxXCubed is TangentatFour + rule: if X is AboutFive then ApproxXCubed is TangentatFive
\ No newline at end of file diff --git a/examples/takagi-sugeno/octave/cubic_approximator.java b/examples/takagi-sugeno/octave/cubic_approximator.java new file mode 100644 index 0000000..1955a24 --- /dev/null +++ b/examples/takagi-sugeno/octave/cubic_approximator.java @@ -0,0 +1,78 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class cubic_approximator{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Cubic-Approximator"); + +InputVariable inputVariable = new InputVariable(); +inputVariable.setEnabled(true); +inputVariable.setName("X"); +inputVariable.setRange(-5.000, 5.000); +inputVariable.addTerm(new Triangle("AboutNegFive", -6.000, -5.000, -4.000)); +inputVariable.addTerm(new Triangle("AboutNegFour", -5.000, -4.000, -3.000)); +inputVariable.addTerm(new Triangle("AboutNegThree", -4.000, -3.000, -2.000)); +inputVariable.addTerm(new Triangle("AboutNegTwo", -3.000, -2.000, -1.000)); +inputVariable.addTerm(new Triangle("AboutNegOne", -2.000, -1.000, 0.000)); +inputVariable.addTerm(new Triangle("AboutZero", -1.000, 0.000, 1.000)); +inputVariable.addTerm(new Triangle("AboutOne", 0.000, 1.000, 2.000)); +inputVariable.addTerm(new Triangle("AboutTwo", 1.000, 2.000, 3.000)); +inputVariable.addTerm(new Triangle("AboutThree", 2.000, 3.000, 4.000)); +inputVariable.addTerm(new Triangle("AboutFour", 3.000, 4.000, 5.000)); +inputVariable.addTerm(new Triangle("AboutFive", 4.000, 5.000, 6.000)); +engine.addInputVariable(inputVariable); + +OutputVariable outputVariable = new OutputVariable(); +outputVariable.setEnabled(true); +outputVariable.setName("ApproxXCubed"); +outputVariable.setRange(-5.000, 5.000); +outputVariable.fuzzyOutput().setAccumulation(null); +outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable.setDefaultValue(Double.NaN); +outputVariable.setLockPreviousOutputValue(false); +outputVariable.setLockOutputValueInRange(false); +outputVariable.addTerm(Linear.create("TangentatNegFive", engine, 75.000, 250.000)); +outputVariable.addTerm(Linear.create("TangentatNegFour", engine, 48.000, 128.000)); +outputVariable.addTerm(Linear.create("TangentatNegThree", engine, 27.000, 54.000)); +outputVariable.addTerm(Linear.create("TangentatNegTwo", engine, 12.000, 16.000)); +outputVariable.addTerm(Linear.create("TangentatNegOne", engine, 3.000, 2.000)); +outputVariable.addTerm(Linear.create("TangentatZero", engine, 0.000, 0.000)); +outputVariable.addTerm(Linear.create("TangentatOne", engine, 3.000, -2.000)); +outputVariable.addTerm(Linear.create("TangentatTwo", engine, 12.000, -16.000)); +outputVariable.addTerm(Linear.create("TangentatThree", engine, 27.000, -54.000)); +outputVariable.addTerm(Linear.create("TangentatFour", engine, 48.000, -128.000)); +outputVariable.addTerm(Linear.create("TangentatFive", engine, 75.000, -250.000)); +engine.addOutputVariable(outputVariable); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if X is AboutNegFive then ApproxXCubed is TangentatNegFive", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutNegFour then ApproxXCubed is TangentatNegFour", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutNegThree then ApproxXCubed is TangentatNegThree", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutNegTwo then ApproxXCubed is TangentatNegTwo", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutNegOne then ApproxXCubed is TangentatNegOne", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutZero then ApproxXCubed is TangentatZero", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutOne then ApproxXCubed is TangentatOne", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutTwo then ApproxXCubed is TangentatTwo", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutThree then ApproxXCubed is TangentatThree", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutFour then ApproxXCubed is TangentatFour", engine)); +ruleBlock.addRule(Rule.parse("if X is AboutFive then ApproxXCubed is TangentatFive", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.cpp b/examples/takagi-sugeno/octave/heart_disease_risk.cpp new file mode 100644 index 0000000..397b303 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.cpp @@ -0,0 +1,69 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Heart-Disease-Risk"); + +InputVariable* inputVariable1 = new InputVariable; +inputVariable1->setEnabled(true); +inputVariable1->setName("LDLLevel"); +inputVariable1->setRange(0.000, 300.000); +inputVariable1->addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000)); +inputVariable1->addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000)); +inputVariable1->addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000)); +inputVariable1->addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000)); +inputVariable1->addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000)); +engine->addInputVariable(inputVariable1); + +InputVariable* inputVariable2 = new InputVariable; +inputVariable2->setEnabled(true); +inputVariable2->setName("HDLLevel"); +inputVariable2->setRange(0.000, 100.000); +inputVariable2->addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000)); +inputVariable2->addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000)); +inputVariable2->addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000)); +engine->addInputVariable(inputVariable2); + +OutputVariable* outputVariable = new OutputVariable; +outputVariable->setEnabled(true); +outputVariable->setName("HeartDiseaseRisk"); +outputVariable->setRange(0.000, 10.000); +outputVariable->fuzzyOutput()->setAccumulation(fl::null); +outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable->setDefaultValue(fl::nan); +outputVariable->setLockPreviousOutputValue(false); +outputVariable->setLockOutputValueInRange(false); +outputVariable->addTerm(new Constant("NoRisk", 0.000)); +outputVariable->addTerm(new Constant("LowRisk", 2.500)); +outputVariable->addTerm(new Constant("MediumRisk", 5.000)); +outputVariable->addTerm(new Constant("HighRisk", 7.500)); +outputVariable->addTerm(new Constant("ExtremeRisk", 10.000)); +engine->addOutputVariable(outputVariable); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(new Minimum); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock->addRule(fl::Rule::parse("if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fcl b/examples/takagi-sugeno/octave/heart_disease_risk.fcl new file mode 100644 index 0000000..9629a47 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fcl @@ -0,0 +1,58 @@ +FUNCTION_BLOCK Heart-Disease-Risk + +VAR_INPUT + LDLLevel: REAL; + HDLLevel: REAL; +END_VAR + +VAR_OUTPUT + HeartDiseaseRisk: REAL; +END_VAR + +FUZZIFY LDLLevel + RANGE := (0.000 .. 300.000); + TERM Low := Trapezoid -1.000 0.000 90.000 110.000; + TERM LowBorderline := Trapezoid 90.000 110.000 120.000 140.000; + TERM Borderline := Trapezoid 120.000 140.000 150.000 170.000; + TERM HighBorderline := Trapezoid 150.000 170.000 180.000 200.000; + TERM High := Trapezoid 180.000 200.000 300.000 301.000; +END_FUZZIFY + +FUZZIFY HDLLevel + RANGE := (0.000 .. 100.000); + TERM LowHDL := Trapezoid -1.000 0.000 35.000 45.000; + TERM ModerateHDL := Trapezoid 35.000 45.000 55.000 65.000; + TERM HighHDL := Trapezoid 55.000 65.000 100.000 101.000; +END_FUZZIFY + +DEFUZZIFY HeartDiseaseRisk + RANGE := (0.000 .. 10.000); + TERM NoRisk := 0.000; + TERM LowRisk := 2.500; + TERM MediumRisk := 5.000; + TERM HighRisk := 7.500; + TERM ExtremeRisk := 10.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : MIN; + RULE 1 : if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + RULE 2 : if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + RULE 3 : if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk + RULE 4 : if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + RULE 5 : if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + RULE 6 : if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + RULE 7 : if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + RULE 8 : if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk + RULE 9 : if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + RULE 10 : if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + RULE 11 : if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + RULE 12 : if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk + RULE 13 : if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk + RULE 14 : if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + RULE 15 : if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fis b/examples/takagi-sugeno/octave/heart_disease_risk.fis new file mode 100644 index 0000000..11686f1 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fis @@ -0,0 +1,56 @@ +[System] +Name='Heart-Disease-Risk' +Type='sugeno' +NumInputs=2 +NumOutputs=1 +NumRules=15 +AndMethod='min' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[Input1] +Name='LDLLevel' +Range=[0.000 300.000] +NumMFs=5 +MF1='Low':'trapmf',[-1.000 0.000 90.000 110.000] +MF2='LowBorderline':'trapmf',[90.000 110.000 120.000 140.000] +MF3='Borderline':'trapmf',[120.000 140.000 150.000 170.000] +MF4='HighBorderline':'trapmf',[150.000 170.000 180.000 200.000] +MF5='High':'trapmf',[180.000 200.000 300.000 301.000] + +[Input2] +Name='HDLLevel' +Range=[0.000 100.000] +NumMFs=3 +MF1='LowHDL':'trapmf',[-1.000 0.000 35.000 45.000] +MF2='ModerateHDL':'trapmf',[35.000 45.000 55.000 65.000] +MF3='HighHDL':'trapmf',[55.000 65.000 100.000 101.000] + +[Output1] +Name='HeartDiseaseRisk' +Range=[0.000 10.000] +NumMFs=5 +MF1='NoRisk':'constant',[0.000] +MF2='LowRisk':'constant',[2.500] +MF3='MediumRisk':'constant',[5.000] +MF4='HighRisk':'constant',[7.500] +MF5='ExtremeRisk':'constant',[10.000] + +[Rules] +1.000 1.000 , 3.000 (1.000) : 1 +1.000 2.000 , 2.000 (1.000) : 1 +1.000 3.000 , 1.000 (1.000) : 1 +2.000 1.000 , 3.000 (1.000) : 1 +2.000 2.000 , 2.000 (1.000) : 1 +2.000 3.000 , 2.000 (1.000) : 1 +3.000 1.000 , 4.000 (1.000) : 1 +3.000 2.000 , 3.000 (1.000) : 1 +3.000 3.000 , 2.000 (1.000) : 1 +4.000 1.000 , 4.000 (1.000) : 1 +4.000 2.000 , 4.000 (1.000) : 1 +4.000 3.000 , 3.000 (1.000) : 1 +5.000 1.000 , 5.000 (1.000) : 1 +5.000 2.000 , 4.000 (1.000) : 1 +5.000 3.000 , 3.000 (1.000) : 1 diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fld b/examples/takagi-sugeno/octave/heart_disease_risk.fld new file mode 100644 index 0000000..afc1fe0 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fld @@ -0,0 +1,1026 @@ +#@Engine: Heart-Disease-Risk; +#@InputVariable: LDLLevel; @InputVariable: HDLLevel; @OutputVariable: HeartDiseaseRisk; +0.00000000 0.00000000 5.00000000 +0.00000000 3.22580645 5.00000000 +0.00000000 6.45161290 5.00000000 +0.00000000 9.67741935 5.00000000 +0.00000000 12.90322581 5.00000000 +0.00000000 16.12903226 5.00000000 +0.00000000 19.35483871 5.00000000 +0.00000000 22.58064516 5.00000000 +0.00000000 25.80645161 5.00000000 +0.00000000 29.03225806 5.00000000 +0.00000000 32.25806452 5.00000000 +0.00000000 35.48387097 4.87903226 +0.00000000 38.70967742 4.07258065 +0.00000000 41.93548387 3.26612903 +0.00000000 45.16129032 2.50000000 +0.00000000 48.38709677 2.50000000 +0.00000000 51.61290323 2.50000000 +0.00000000 54.83870968 2.50000000 +0.00000000 58.06451613 1.73387097 +0.00000000 61.29032258 0.92741935 +0.00000000 64.51612903 0.12096774 +0.00000000 67.74193548 0.00000000 +0.00000000 70.96774194 0.00000000 +0.00000000 74.19354839 0.00000000 +0.00000000 77.41935484 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10.00000000 +300.00000000 32.25806452 10.00000000 +300.00000000 35.48387097 9.87903226 +300.00000000 38.70967742 9.07258065 +300.00000000 41.93548387 8.26612903 +300.00000000 45.16129032 7.50000000 +300.00000000 48.38709677 7.50000000 +300.00000000 51.61290323 7.50000000 +300.00000000 54.83870968 7.50000000 +300.00000000 58.06451613 6.73387097 +300.00000000 61.29032258 5.92741935 +300.00000000 64.51612903 5.12096774 +300.00000000 67.74193548 5.00000000 +300.00000000 70.96774194 5.00000000 +300.00000000 74.19354839 5.00000000 +300.00000000 77.41935484 5.00000000 +300.00000000 80.64516129 5.00000000 +300.00000000 83.87096774 5.00000000 +300.00000000 87.09677419 5.00000000 +300.00000000 90.32258065 5.00000000 +300.00000000 93.54838710 5.00000000 +300.00000000 96.77419355 5.00000000 +300.00000000 100.00000000 5.00000000 diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.fll b/examples/takagi-sugeno/octave/heart_disease_risk.fll new file mode 100644 index 0000000..5bc3207 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.fll @@ -0,0 +1,48 @@ +Engine: Heart-Disease-Risk +InputVariable: LDLLevel + enabled: true + range: 0.000 300.000 + term: Low Trapezoid -1.000 0.000 90.000 110.000 + term: LowBorderline Trapezoid 90.000 110.000 120.000 140.000 + term: Borderline Trapezoid 120.000 140.000 150.000 170.000 + term: HighBorderline Trapezoid 150.000 170.000 180.000 200.000 + term: High Trapezoid 180.000 200.000 300.000 301.000 +InputVariable: HDLLevel + enabled: true + range: 0.000 100.000 + term: LowHDL Trapezoid -1.000 0.000 35.000 45.000 + term: ModerateHDL Trapezoid 35.000 45.000 55.000 65.000 + term: HighHDL Trapezoid 55.000 65.000 100.000 101.000 +OutputVariable: HeartDiseaseRisk + enabled: true + range: 0.000 10.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: NoRisk Constant 0.000 + term: LowRisk Constant 2.500 + term: MediumRisk Constant 5.000 + term: HighRisk Constant 7.500 + term: ExtremeRisk Constant 10.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: none + activation: none + rule: if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk + rule: if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk + rule: if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk + rule: if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk + rule: if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk + rule: if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk
\ No newline at end of file diff --git a/examples/takagi-sugeno/octave/heart_disease_risk.java b/examples/takagi-sugeno/octave/heart_disease_risk.java new file mode 100644 index 0000000..fcd67c9 --- /dev/null +++ b/examples/takagi-sugeno/octave/heart_disease_risk.java @@ -0,0 +1,79 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class heart_disease_risk{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Heart-Disease-Risk"); + +InputVariable inputVariable1 = new InputVariable(); +inputVariable1.setEnabled(true); +inputVariable1.setName("LDLLevel"); +inputVariable1.setRange(0.000, 300.000); +inputVariable1.addTerm(new Trapezoid("Low", -1.000, 0.000, 90.000, 110.000)); +inputVariable1.addTerm(new Trapezoid("LowBorderline", 90.000, 110.000, 120.000, 140.000)); +inputVariable1.addTerm(new Trapezoid("Borderline", 120.000, 140.000, 150.000, 170.000)); +inputVariable1.addTerm(new Trapezoid("HighBorderline", 150.000, 170.000, 180.000, 200.000)); +inputVariable1.addTerm(new Trapezoid("High", 180.000, 200.000, 300.000, 301.000)); +engine.addInputVariable(inputVariable1); + +InputVariable inputVariable2 = new InputVariable(); +inputVariable2.setEnabled(true); +inputVariable2.setName("HDLLevel"); +inputVariable2.setRange(0.000, 100.000); +inputVariable2.addTerm(new Trapezoid("LowHDL", -1.000, 0.000, 35.000, 45.000)); +inputVariable2.addTerm(new Trapezoid("ModerateHDL", 35.000, 45.000, 55.000, 65.000)); +inputVariable2.addTerm(new Trapezoid("HighHDL", 55.000, 65.000, 100.000, 101.000)); +engine.addInputVariable(inputVariable2); + +OutputVariable outputVariable = new OutputVariable(); +outputVariable.setEnabled(true); +outputVariable.setName("HeartDiseaseRisk"); +outputVariable.setRange(0.000, 10.000); +outputVariable.fuzzyOutput().setAccumulation(null); +outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable.setDefaultValue(Double.NaN); +outputVariable.setLockPreviousOutputValue(false); +outputVariable.setLockOutputValueInRange(false); +outputVariable.addTerm(new Constant("NoRisk", 0.000)); +outputVariable.addTerm(new Constant("LowRisk", 2.500)); +outputVariable.addTerm(new Constant("MediumRisk", 5.000)); +outputVariable.addTerm(new Constant("HighRisk", 7.500)); +outputVariable.addTerm(new Constant("ExtremeRisk", 10.000)); +engine.addOutputVariable(outputVariable); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new Minimum()); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if LDLLevel is Low and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is Low and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is Low and HDLLevel is HighHDL then HeartDiseaseRisk is NoRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is LowBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is LowBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is LowBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is Borderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is Borderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is Borderline and HDLLevel is HighHDL then HeartDiseaseRisk is LowRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is HighBorderline and HDLLevel is LowHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is HighBorderline and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is HighBorderline and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is High and HDLLevel is LowHDL then HeartDiseaseRisk is ExtremeRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is High and HDLLevel is ModerateHDL then HeartDiseaseRisk is HighRisk", engine)); +ruleBlock.addRule(Rule.parse("if LDLLevel is High and HDLLevel is HighHDL then HeartDiseaseRisk is MediumRisk", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.cpp b/examples/takagi-sugeno/octave/linear_tip_calculator.cpp new file mode 100644 index 0000000..6982766 --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.cpp @@ -0,0 +1,52 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Linear-Tip-Calculator"); + +InputVariable* inputVariable1 = new InputVariable; +inputVariable1->setEnabled(true); +inputVariable1->setName("FoodQuality"); +inputVariable1->setRange(1.000, 10.000); +inputVariable1->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable1->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(inputVariable1); + +InputVariable* inputVariable2 = new InputVariable; +inputVariable2->setEnabled(true); +inputVariable2->setName("Service"); +inputVariable2->setRange(1.000, 10.000); +inputVariable2->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable2->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(inputVariable2); + +OutputVariable* outputVariable = new OutputVariable; +outputVariable->setEnabled(true); +outputVariable->setName("Tip"); +outputVariable->setRange(10.000, 20.000); +outputVariable->fuzzyOutput()->setAccumulation(fl::null); +outputVariable->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable->setDefaultValue(fl::nan); +outputVariable->setLockPreviousOutputValue(false); +outputVariable->setLockOutputValueInRange(false); +outputVariable->addTerm(Linear::create("TenPercent", engine, 0.000, 0.000, 10.000)); +outputVariable->addTerm(Linear::create("FifteenPercent", engine, 0.000, 0.000, 15.000)); +outputVariable->addTerm(Linear::create("TwentyPercent", engine, 0.000, 0.000, 20.000)); +engine->addOutputVariable(outputVariable); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(new Minimum); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Bad then Tip is TenPercent", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Good then Tip is FifteenPercent", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Bad then Tip is FifteenPercent", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Good then Tip is TwentyPercent", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fcl b/examples/takagi-sugeno/octave/linear_tip_calculator.fcl new file mode 100644 index 0000000..d326b2e --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fcl @@ -0,0 +1,41 @@ +FUNCTION_BLOCK Linear-Tip-Calculator + +VAR_INPUT + FoodQuality: REAL; + Service: REAL; +END_VAR + +VAR_OUTPUT + Tip: REAL; +END_VAR + +FUZZIFY FoodQuality + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +FUZZIFY Service + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +DEFUZZIFY Tip + RANGE := (10.000 .. 20.000); + TERM TenPercent := Linear 0.000 0.000 10.000; + TERM FifteenPercent := Linear 0.000 0.000 15.000; + TERM TwentyPercent := Linear 0.000 0.000 20.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : MIN; + RULE 1 : if FoodQuality is Bad and Service is Bad then Tip is TenPercent + RULE 2 : if FoodQuality is Bad and Service is Good then Tip is FifteenPercent + RULE 3 : if FoodQuality is Good and Service is Bad then Tip is FifteenPercent + RULE 4 : if FoodQuality is Good and Service is Good then Tip is TwentyPercent +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fis b/examples/takagi-sugeno/octave/linear_tip_calculator.fis new file mode 100644 index 0000000..8df5a02 --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fis @@ -0,0 +1,39 @@ +[System] +Name='Linear-Tip-Calculator' +Type='sugeno' +NumInputs=2 +NumOutputs=1 +NumRules=4 +AndMethod='min' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[Input1] +Name='FoodQuality' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Input2] +Name='Service' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Output1] +Name='Tip' +Range=[10.000 20.000] +NumMFs=3 +MF1='TenPercent':'linear',[0.000 0.000 10.000] +MF2='FifteenPercent':'linear',[0.000 0.000 15.000] +MF3='TwentyPercent':'linear',[0.000 0.000 20.000] + +[Rules] +1.000 1.000 , 1.000 (1.000) : 1 +1.000 2.000 , 2.000 (1.000) : 1 +2.000 1.000 , 2.000 (1.000) : 1 +2.000 2.000 , 3.000 (1.000) : 1 diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.fld b/examples/takagi-sugeno/octave/linear_tip_calculator.fld new file mode 100644 index 0000000..27f51b4 --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.fld @@ -0,0 +1,1026 @@ +#@Engine: Linear-Tip-Calculator; +#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: Tip; +1.00000000 1.00000000 10.00000000 +1.00000000 1.29032258 10.00000000 +1.00000000 1.58064516 10.00000000 +1.00000000 1.87096774 10.00000000 +1.00000000 2.16129032 10.00000000 +1.00000000 2.45161290 10.00000000 +1.00000000 2.74193548 10.00000000 +1.00000000 3.03225806 10.04032258 +1.00000000 3.32258065 10.40322581 +1.00000000 3.61290323 10.76612903 +1.00000000 3.90322581 11.12903226 +1.00000000 4.19354839 11.49193548 +1.00000000 4.48387097 11.85483871 +1.00000000 4.77419355 12.21774194 +1.00000000 5.06451613 12.58064516 +1.00000000 5.35483871 12.94354839 +1.00000000 5.64516129 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Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: Tip + enabled: true + range: 10.000 20.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: TenPercent Linear 0.000 0.000 10.000 + term: FifteenPercent Linear 0.000 0.000 15.000 + term: TwentyPercent Linear 0.000 0.000 20.000 +RuleBlock: + enabled: true + conjunction: Minimum + disjunction: none + activation: none + rule: if FoodQuality is Bad and Service is Bad then Tip is TenPercent + rule: if FoodQuality is Bad and Service is Good then Tip is FifteenPercent + rule: if FoodQuality is Good and Service is Bad then Tip is FifteenPercent + rule: if FoodQuality is Good and Service is Good then Tip is TwentyPercent
\ No newline at end of file diff --git a/examples/takagi-sugeno/octave/linear_tip_calculator.java b/examples/takagi-sugeno/octave/linear_tip_calculator.java new file mode 100644 index 0000000..0600638 --- /dev/null +++ b/examples/takagi-sugeno/octave/linear_tip_calculator.java @@ -0,0 +1,62 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class linear_tip_calculator{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Linear-Tip-Calculator"); + +InputVariable inputVariable1 = new InputVariable(); +inputVariable1.setEnabled(true); +inputVariable1.setName("FoodQuality"); +inputVariable1.setRange(1.000, 10.000); +inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(inputVariable1); + +InputVariable inputVariable2 = new InputVariable(); +inputVariable2.setEnabled(true); +inputVariable2.setName("Service"); +inputVariable2.setRange(1.000, 10.000); +inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(inputVariable2); + +OutputVariable outputVariable = new OutputVariable(); +outputVariable.setEnabled(true); +outputVariable.setName("Tip"); +outputVariable.setRange(10.000, 20.000); +outputVariable.fuzzyOutput().setAccumulation(null); +outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable.setDefaultValue(Double.NaN); +outputVariable.setLockPreviousOutputValue(false); +outputVariable.setLockOutputValueInRange(false); +outputVariable.addTerm(Linear.create("TenPercent", engine, 0.000, 0.000, 10.000)); +outputVariable.addTerm(Linear.create("FifteenPercent", engine, 0.000, 0.000, 15.000)); +outputVariable.addTerm(Linear.create("TwentyPercent", engine, 0.000, 0.000, 20.000)); +engine.addOutputVariable(outputVariable); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new Minimum()); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then Tip is TenPercent", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then Tip is FifteenPercent", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then Tip is FifteenPercent", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Good then Tip is TwentyPercent", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp b/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp new file mode 100644 index 0000000..d92de0a --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.cpp @@ -0,0 +1,86 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName("Sugeno-Tip-Calculator"); + +InputVariable* inputVariable1 = new InputVariable; +inputVariable1->setEnabled(true); +inputVariable1->setName("FoodQuality"); +inputVariable1->setRange(1.000, 10.000); +inputVariable1->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable1->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(inputVariable1); + +InputVariable* inputVariable2 = new InputVariable; +inputVariable2->setEnabled(true); +inputVariable2->setName("Service"); +inputVariable2->setRange(1.000, 10.000); +inputVariable2->addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable2->addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine->addInputVariable(inputVariable2); + +OutputVariable* outputVariable1 = new OutputVariable; +outputVariable1->setEnabled(true); +outputVariable1->setName("CheapTip"); +outputVariable1->setRange(5.000, 25.000); +outputVariable1->fuzzyOutput()->setAccumulation(fl::null); +outputVariable1->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable1->setDefaultValue(fl::nan); +outputVariable1->setLockPreviousOutputValue(false); +outputVariable1->setLockOutputValueInRange(false); +outputVariable1->addTerm(new Constant("Low", 10.000)); +outputVariable1->addTerm(new Constant("Medium", 15.000)); +outputVariable1->addTerm(new Constant("High", 20.000)); +engine->addOutputVariable(outputVariable1); + +OutputVariable* outputVariable2 = new OutputVariable; +outputVariable2->setEnabled(true); +outputVariable2->setName("AverageTip"); +outputVariable2->setRange(5.000, 25.000); +outputVariable2->fuzzyOutput()->setAccumulation(fl::null); +outputVariable2->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable2->setDefaultValue(fl::nan); +outputVariable2->setLockPreviousOutputValue(false); +outputVariable2->setLockOutputValueInRange(false); +outputVariable2->addTerm(new Constant("Low", 10.000)); +outputVariable2->addTerm(new Constant("Medium", 15.000)); +outputVariable2->addTerm(new Constant("High", 20.000)); +engine->addOutputVariable(outputVariable2); + +OutputVariable* outputVariable3 = new OutputVariable; +outputVariable3->setEnabled(true); +outputVariable3->setName("GenerousTip"); +outputVariable3->setRange(5.000, 25.000); +outputVariable3->fuzzyOutput()->setAccumulation(fl::null); +outputVariable3->setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable3->setDefaultValue(fl::nan); +outputVariable3->setLockPreviousOutputValue(false); +outputVariable3->setLockOutputValueInRange(false); +outputVariable3->addTerm(new Constant("Low", 10.000)); +outputVariable3->addTerm(new Constant("Medium", 15.000)); +outputVariable3->addTerm(new Constant("High", 20.000)); +engine->addOutputVariable(outputVariable3); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(new EinsteinProduct); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock->addRule(fl::Rule::parse("if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl new file mode 100644 index 0000000..ad98f68 --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fcl @@ -0,0 +1,67 @@ +FUNCTION_BLOCK Sugeno-Tip-Calculator + +VAR_INPUT + FoodQuality: REAL; + Service: REAL; +END_VAR + +VAR_OUTPUT + CheapTip: REAL; + AverageTip: REAL; + GenerousTip: REAL; +END_VAR + +FUZZIFY FoodQuality + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +FUZZIFY Service + RANGE := (1.000 .. 10.000); + TERM Bad := Trapezoid 0.000 1.000 3.000 7.000; + TERM Good := Trapezoid 3.000 7.000 10.000 11.000; +END_FUZZIFY + +DEFUZZIFY CheapTip + RANGE := (5.000 .. 25.000); + TERM Low := 10.000; + TERM Medium := 15.000; + TERM High := 20.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY AverageTip + RANGE := (5.000 .. 25.000); + TERM Low := 10.000; + TERM Medium := 15.000; + TERM High := 20.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY GenerousTip + RANGE := (5.000 .. 25.000); + TERM Low := 10.000; + TERM Medium := 15.000; + TERM High := 20.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + AND : EPROD; + RULE 1 : if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low + RULE 2 : if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + RULE 3 : if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + RULE 4 : if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + RULE 5 : if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + RULE 6 : if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High + RULE 7 : if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + RULE 8 : if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High + RULE 9 : if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + RULE 10 : if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis new file mode 100644 index 0000000..4349913 --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fis @@ -0,0 +1,61 @@ +[System] +Name='Sugeno-Tip-Calculator' +Type='sugeno' +NumInputs=2 +NumOutputs=3 +NumRules=10 +AndMethod='einstein_product' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[Input1] +Name='FoodQuality' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Input2] +Name='Service' +Range=[1.000 10.000] +NumMFs=2 +MF1='Bad':'trapmf',[0.000 1.000 3.000 7.000] +MF2='Good':'trapmf',[3.000 7.000 10.000 11.000] + +[Output1] +Name='CheapTip' +Range=[5.000 25.000] +NumMFs=3 +MF1='Low':'constant',[10.000] +MF2='Medium':'constant',[15.000] +MF3='High':'constant',[20.000] + +[Output2] +Name='AverageTip' +Range=[5.000 25.000] +NumMFs=3 +MF1='Low':'constant',[10.000] +MF2='Medium':'constant',[15.000] +MF3='High':'constant',[20.000] + +[Output3] +Name='GenerousTip' +Range=[5.000 25.000] +NumMFs=3 +MF1='Low':'constant',[10.000] +MF2='Medium':'constant',[15.000] +MF3='High':'constant',[20.000] + +[Rules] +1.300 1.300 , 1.300 1.200 1.000 (1.000) : 1 +2.000 1.300 , 1.000 1.000 2.000 (1.000) : 1 +2.200 1.200 , 1.000 2.000 3.000 (1.000) : 1 +1.000 1.000 , 1.000 1.000 2.000 (1.000) : 1 +2.000 1.000 , 1.000 2.000 3.000 (1.000) : 1 +2.300 1.000 , 1.000 2.000 3.200 (1.000) : 1 +1.000 2.000 , 1.000 2.000 3.000 (1.000) : 1 +2.000 2.000 , 2.000 2.000 3.200 (1.000) : 1 +1.200 2.200 , 1.000 2.000 3.000 (1.000) : 1 +2.400 2.400 , 3.000 3.200 3.300 (1.000) : 1 diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld new file mode 100644 index 0000000..6816af5 --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fld @@ -0,0 +1,1026 @@ +#@Engine: Sugeno-Tip-Calculator; +#@InputVariable: FoodQuality; @InputVariable: Service; @OutputVariable: CheapTip; @OutputVariable: 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20.00000000 diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll new file mode 100644 index 0000000..611d6eb --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.fll @@ -0,0 +1,59 @@ +Engine: Sugeno-Tip-Calculator +InputVariable: FoodQuality + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +InputVariable: Service + enabled: true + range: 1.000 10.000 + term: Bad Trapezoid 0.000 1.000 3.000 7.000 + term: Good Trapezoid 3.000 7.000 10.000 11.000 +OutputVariable: CheapTip + enabled: true + range: 5.000 25.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +OutputVariable: AverageTip + enabled: true + range: 5.000 25.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +OutputVariable: GenerousTip + enabled: true + range: 5.000 25.000 + accumulation: none + defuzzifier: WeightedAverage TakagiSugeno + default: nan + lock-previous: false + lock-range: false + term: Low Constant 10.000 + term: Medium Constant 15.000 + term: High Constant 20.000 +RuleBlock: + enabled: true + conjunction: EinsteinProduct + disjunction: none + activation: none + rule: if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low + rule: if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + rule: if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium + rule: if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High + rule: if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High + rule: if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High + rule: if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High
\ No newline at end of file diff --git a/examples/takagi-sugeno/octave/sugeno_tip_calculator.java b/examples/takagi-sugeno/octave/sugeno_tip_calculator.java new file mode 100644 index 0000000..939649e --- /dev/null +++ b/examples/takagi-sugeno/octave/sugeno_tip_calculator.java @@ -0,0 +1,96 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class sugeno_tip_calculator{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName("Sugeno-Tip-Calculator"); + +InputVariable inputVariable1 = new InputVariable(); +inputVariable1.setEnabled(true); +inputVariable1.setName("FoodQuality"); +inputVariable1.setRange(1.000, 10.000); +inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(inputVariable1); + +InputVariable inputVariable2 = new InputVariable(); +inputVariable2.setEnabled(true); +inputVariable2.setName("Service"); +inputVariable2.setRange(1.000, 10.000); +inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(inputVariable2); + +OutputVariable outputVariable1 = new OutputVariable(); +outputVariable1.setEnabled(true); +outputVariable1.setName("CheapTip"); +outputVariable1.setRange(5.000, 25.000); +outputVariable1.fuzzyOutput().setAccumulation(null); +outputVariable1.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable1.setDefaultValue(Double.NaN); +outputVariable1.setLockPreviousOutputValue(false); +outputVariable1.setLockOutputValueInRange(false); +outputVariable1.addTerm(new Constant("Low", 10.000)); +outputVariable1.addTerm(new Constant("Medium", 15.000)); +outputVariable1.addTerm(new Constant("High", 20.000)); +engine.addOutputVariable(outputVariable1); + +OutputVariable outputVariable2 = new OutputVariable(); +outputVariable2.setEnabled(true); +outputVariable2.setName("AverageTip"); +outputVariable2.setRange(5.000, 25.000); +outputVariable2.fuzzyOutput().setAccumulation(null); +outputVariable2.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable2.setDefaultValue(Double.NaN); +outputVariable2.setLockPreviousOutputValue(false); +outputVariable2.setLockOutputValueInRange(false); +outputVariable2.addTerm(new Constant("Low", 10.000)); +outputVariable2.addTerm(new Constant("Medium", 15.000)); +outputVariable2.addTerm(new Constant("High", 20.000)); +engine.addOutputVariable(outputVariable2); + +OutputVariable outputVariable3 = new OutputVariable(); +outputVariable3.setEnabled(true); +outputVariable3.setName("GenerousTip"); +outputVariable3.setRange(5.000, 25.000); +outputVariable3.fuzzyOutput().setAccumulation(null); +outputVariable3.setDefuzzifier(new WeightedAverage("TakagiSugeno")); +outputVariable3.setDefaultValue(Double.NaN); +outputVariable3.setLockPreviousOutputValue(false); +outputVariable3.setLockOutputValueInRange(false); +outputVariable3.addTerm(new Constant("Low", 10.000)); +outputVariable3.addTerm(new Constant("Medium", 15.000)); +outputVariable3.addTerm(new Constant("High", 20.000)); +engine.addOutputVariable(outputVariable3); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(new EinsteinProduct()); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if FoodQuality is extremely Bad and Service is extremely Bad then CheapTip is extremely Low and AverageTip is very Low and GenerousTip is Low", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is extremely Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is very Good and Service is very Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then CheapTip is Low and AverageTip is Low and GenerousTip is Medium", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is extremely Good and Service is Bad then CheapTip is Low and AverageTip is Medium and GenerousTip is very High", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Good then CheapTip is Medium and AverageTip is Medium and GenerousTip is very High", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is very Bad and Service is very Good then CheapTip is Low and AverageTip is Medium and GenerousTip is High", engine)); +ruleBlock.addRule(Rule.parse("if FoodQuality is very very Good and Service is very very Good then CheapTip is High and AverageTip is very High and GenerousTip is extremely High", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} diff --git a/examples/tsukamoto/tsukamoto.cpp b/examples/tsukamoto/tsukamoto.cpp new file mode 100644 index 0000000..4432936 --- /dev/null +++ b/examples/tsukamoto/tsukamoto.cpp @@ -0,0 +1,86 @@ +#include <fl/Headers.h> + +int main(int argc, char** argv){ +using namespace fl; + +Engine* engine = new Engine; +engine->setName(""); + +InputVariable* inputVariable = new InputVariable; +inputVariable->setEnabled(true); +inputVariable->setName("X"); +inputVariable->setRange(-10.000, 10.000); +inputVariable->addTerm(new Bell("small", -10.000, 5.000, 3.000)); +inputVariable->addTerm(new Bell("medium", 0.000, 5.000, 3.000)); +inputVariable->addTerm(new Bell("large", 10.000, 5.000, 3.000)); +engine->addInputVariable(inputVariable); + +OutputVariable* outputVariable1 = new OutputVariable; +outputVariable1->setEnabled(true); +outputVariable1->setName("Ramps"); +outputVariable1->setRange(0.000, 1.000); +outputVariable1->fuzzyOutput()->setAccumulation(fl::null); +outputVariable1->setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable1->setDefaultValue(fl::nan); +outputVariable1->setLockPreviousOutputValue(false); +outputVariable1->setLockOutputValueInRange(false); +outputVariable1->addTerm(new Ramp("b", 0.600, 0.400)); +outputVariable1->addTerm(new Ramp("a", 0.000, 0.250)); +outputVariable1->addTerm(new Ramp("c", 0.700, 1.000)); +engine->addOutputVariable(outputVariable1); + +OutputVariable* outputVariable2 = new OutputVariable; +outputVariable2->setEnabled(true); +outputVariable2->setName("Sigmoids"); +outputVariable2->setRange(0.020, 1.000); +outputVariable2->fuzzyOutput()->setAccumulation(fl::null); +outputVariable2->setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable2->setDefaultValue(fl::nan); +outputVariable2->setLockPreviousOutputValue(false); +outputVariable2->setLockOutputValueInRange(false); +outputVariable2->addTerm(new Sigmoid("b", 0.500, -30.000)); +outputVariable2->addTerm(new Sigmoid("a", 0.130, 30.000)); +outputVariable2->addTerm(new Sigmoid("c", 0.830, 30.000)); +engine->addOutputVariable(outputVariable2); + +OutputVariable* outputVariable3 = new OutputVariable; +outputVariable3->setEnabled(true); +outputVariable3->setName("ZSShapes"); +outputVariable3->setRange(0.000, 1.000); +outputVariable3->fuzzyOutput()->setAccumulation(fl::null); +outputVariable3->setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable3->setDefaultValue(fl::nan); +outputVariable3->setLockPreviousOutputValue(false); +outputVariable3->setLockOutputValueInRange(false); +outputVariable3->addTerm(new ZShape("b", 0.300, 0.600)); +outputVariable3->addTerm(new SShape("a", 0.000, 0.250)); +outputVariable3->addTerm(new SShape("c", 0.700, 1.000)); +engine->addOutputVariable(outputVariable3); + +OutputVariable* outputVariable4 = new OutputVariable; +outputVariable4->setEnabled(true); +outputVariable4->setName("Concaves"); +outputVariable4->setRange(0.000, 1.000); +outputVariable4->fuzzyOutput()->setAccumulation(fl::null); +outputVariable4->setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable4->setDefaultValue(fl::nan); +outputVariable4->setLockPreviousOutputValue(false); +outputVariable4->setLockOutputValueInRange(false); +outputVariable4->addTerm(new Concave("b", 0.500, 0.400)); +outputVariable4->addTerm(new Concave("a", 0.240, 0.250)); +outputVariable4->addTerm(new Concave("c", 0.900, 1.000)); +engine->addOutputVariable(outputVariable4); + +RuleBlock* ruleBlock = new RuleBlock; +ruleBlock->setEnabled(true); +ruleBlock->setName(""); +ruleBlock->setConjunction(fl::null); +ruleBlock->setDisjunction(fl::null); +ruleBlock->setActivation(fl::null); +ruleBlock->addRule(fl::Rule::parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine)); +ruleBlock->addRule(fl::Rule::parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine)); +engine->addRuleBlock(ruleBlock); + + +} diff --git a/examples/tsukamoto/tsukamoto.fcl b/examples/tsukamoto/tsukamoto.fcl new file mode 100644 index 0000000..16a4bbd --- /dev/null +++ b/examples/tsukamoto/tsukamoto.fcl @@ -0,0 +1,63 @@ +FUNCTION_BLOCK + +VAR_INPUT + X: REAL; +END_VAR + +VAR_OUTPUT + Ramps: REAL; + Sigmoids: REAL; + ZSShapes: REAL; + Concaves: REAL; +END_VAR + +FUZZIFY X + RANGE := (-10.000 .. 10.000); + TERM small := Bell -10.000 5.000 3.000; + TERM medium := Bell 0.000 5.000 3.000; + TERM large := Bell 10.000 5.000 3.000; +END_FUZZIFY + +DEFUZZIFY Ramps + RANGE := (0.000 .. 1.000); + TERM b := Ramp 0.600 0.400; + TERM a := Ramp 0.000 0.250; + TERM c := Ramp 0.700 1.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY Sigmoids + RANGE := (0.020 .. 1.000); + TERM b := Sigmoid 0.500 -30.000; + TERM a := Sigmoid 0.130 30.000; + TERM c := Sigmoid 0.830 30.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY ZSShapes + RANGE := (0.000 .. 1.000); + TERM b := ZShape 0.300 0.600; + TERM a := SShape 0.000 0.250; + TERM c := SShape 0.700 1.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +DEFUZZIFY Concaves + RANGE := (0.000 .. 1.000); + TERM b := Concave 0.500 0.400; + TERM a := Concave 0.240 0.250; + TERM c := Concave 0.900 1.000; + METHOD : COGS; + DEFAULT := nan; +END_DEFUZZIFY + +RULEBLOCK + RULE 1 : if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a + RULE 2 : if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b + RULE 3 : if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c +END_RULEBLOCK + +END_FUNCTION_BLOCK diff --git a/examples/tsukamoto/tsukamoto.fis b/examples/tsukamoto/tsukamoto.fis new file mode 100644 index 0000000..6dc1b4f --- /dev/null +++ b/examples/tsukamoto/tsukamoto.fis @@ -0,0 +1,56 @@ +[System] +Name='' +Type='tsukamoto' +NumInputs=1 +NumOutputs=4 +NumRules=3 +AndMethod='' +OrMethod='' +ImpMethod='' +AggMethod='' +DefuzzMethod='wtaver' + +[Input1] +Name='X' +Range=[-10.000 10.000] +NumMFs=3 +MF1='small':'gbellmf',[5.000 3.000 -10.000] +MF2='medium':'gbellmf',[5.000 3.000 0.000] +MF3='large':'gbellmf',[5.000 3.000 10.000] + +[Output1] +Name='Ramps' +Range=[0.000 1.000] +NumMFs=3 +MF1='b':'rampmf',[0.600 0.400] +MF2='a':'rampmf',[0.000 0.250] +MF3='c':'rampmf',[0.700 1.000] + +[Output2] +Name='Sigmoids' +Range=[0.020 1.000] +NumMFs=3 +MF1='b':'sigmf',[-30.000 0.500] +MF2='a':'sigmf',[30.000 0.130] +MF3='c':'sigmf',[30.000 0.830] + +[Output3] +Name='ZSShapes' +Range=[0.000 1.000] +NumMFs=3 +MF1='b':'zmf',[0.300 0.600] +MF2='a':'smf',[0.000 0.250] +MF3='c':'smf',[0.700 1.000] + +[Output4] +Name='Concaves' +Range=[0.000 1.000] +NumMFs=3 +MF1='b':'concavemf',[0.500 0.400] +MF2='a':'concavemf',[0.240 0.250] +MF3='c':'concavemf',[0.900 1.000] + +[Rules] +1.000 , 2.000 2.000 2.000 2.000 (1.000) : 1 +2.000 , 1.000 1.000 1.000 1.000 (1.000) : 1 +3.000 , 3.000 3.000 3.000 3.000 (1.000) : 1 diff --git a/examples/tsukamoto/tsukamoto.fld b/examples/tsukamoto/tsukamoto.fld new file mode 100644 index 0000000..85e0cc3 --- /dev/null +++ b/examples/tsukamoto/tsukamoto.fld @@ -0,0 +1,1026 @@ +#@Engine: ; +#@InputVariable: X; @OutputVariable: Ramps; @OutputVariable: Sigmoids; @OutputVariable: ZSShapes; @OutputVariable: Concaves; +-10.00000000 0.25536331 0.99441852 0.25580927 0.25221216 +-9.98044966 0.25542354 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+9.98044966 0.99358212 0.99418010 0.99403594 0.99056560 +10.00000000 0.99365393 0.99425029 0.99409976 0.99067101 diff --git a/examples/tsukamoto/tsukamoto.fll b/examples/tsukamoto/tsukamoto.fll new file mode 100644 index 0000000..29ce437 --- /dev/null +++ b/examples/tsukamoto/tsukamoto.fll @@ -0,0 +1,59 @@ +Engine: +InputVariable: X + enabled: true + range: -10.000 10.000 + term: small Bell -10.000 5.000 3.000 + term: medium Bell 0.000 5.000 3.000 + term: large Bell 10.000 5.000 3.000 +OutputVariable: Ramps + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + lock-range: false + term: b Ramp 0.600 0.400 + term: a Ramp 0.000 0.250 + term: c Ramp 0.700 1.000 +OutputVariable: Sigmoids + enabled: true + range: 0.020 1.000 + accumulation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + lock-range: false + term: b Sigmoid 0.500 -30.000 + term: a Sigmoid 0.130 30.000 + term: c Sigmoid 0.830 30.000 +OutputVariable: ZSShapes + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + lock-range: false + term: b ZShape 0.300 0.600 + term: a SShape 0.000 0.250 + term: c SShape 0.700 1.000 +OutputVariable: Concaves + enabled: true + range: 0.000 1.000 + accumulation: none + defuzzifier: WeightedAverage Automatic + default: nan + lock-previous: false + lock-range: false + term: b Concave 0.500 0.400 + term: a Concave 0.240 0.250 + term: c Concave 0.900 1.000 +RuleBlock: + enabled: true + conjunction: none + disjunction: none + activation: none + rule: if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a + rule: if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b + rule: if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c
\ No newline at end of file diff --git a/examples/tsukamoto/tsukamoto.java b/examples/tsukamoto/tsukamoto.java new file mode 100644 index 0000000..e8cc824 --- /dev/null +++ b/examples/tsukamoto/tsukamoto.java @@ -0,0 +1,96 @@ +import com.fuzzylite.*; +import com.fuzzylite.defuzzifier.*; +import com.fuzzylite.factory.*; +import com.fuzzylite.hedge.*; +import com.fuzzylite.imex.*; +import com.fuzzylite.norm.*; +import com.fuzzylite.norm.s.*; +import com.fuzzylite.norm.t.*; +import com.fuzzylite.rule.*; +import com.fuzzylite.term.*; +import com.fuzzylite.variable.*; + +public class tsukamoto{ +public static void main(String[] args){ +Engine engine = new Engine(); +engine.setName(""); + +InputVariable inputVariable = new InputVariable(); +inputVariable.setEnabled(true); +inputVariable.setName("X"); +inputVariable.setRange(-10.000, 10.000); +inputVariable.addTerm(new Bell("small", -10.000, 5.000, 3.000)); +inputVariable.addTerm(new Bell("medium", 0.000, 5.000, 3.000)); +inputVariable.addTerm(new Bell("large", 10.000, 5.000, 3.000)); +engine.addInputVariable(inputVariable); + +OutputVariable outputVariable1 = new OutputVariable(); +outputVariable1.setEnabled(true); +outputVariable1.setName("Ramps"); +outputVariable1.setRange(0.000, 1.000); +outputVariable1.fuzzyOutput().setAccumulation(null); +outputVariable1.setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable1.setDefaultValue(Double.NaN); +outputVariable1.setLockPreviousOutputValue(false); +outputVariable1.setLockOutputValueInRange(false); +outputVariable1.addTerm(new Ramp("b", 0.600, 0.400)); +outputVariable1.addTerm(new Ramp("a", 0.000, 0.250)); +outputVariable1.addTerm(new Ramp("c", 0.700, 1.000)); +engine.addOutputVariable(outputVariable1); + +OutputVariable outputVariable2 = new OutputVariable(); +outputVariable2.setEnabled(true); +outputVariable2.setName("Sigmoids"); +outputVariable2.setRange(0.020, 1.000); +outputVariable2.fuzzyOutput().setAccumulation(null); +outputVariable2.setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable2.setDefaultValue(Double.NaN); +outputVariable2.setLockPreviousOutputValue(false); +outputVariable2.setLockOutputValueInRange(false); +outputVariable2.addTerm(new Sigmoid("b", 0.500, -30.000)); +outputVariable2.addTerm(new Sigmoid("a", 0.130, 30.000)); +outputVariable2.addTerm(new Sigmoid("c", 0.830, 30.000)); +engine.addOutputVariable(outputVariable2); + +OutputVariable outputVariable3 = new OutputVariable(); +outputVariable3.setEnabled(true); +outputVariable3.setName("ZSShapes"); +outputVariable3.setRange(0.000, 1.000); +outputVariable3.fuzzyOutput().setAccumulation(null); +outputVariable3.setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable3.setDefaultValue(Double.NaN); +outputVariable3.setLockPreviousOutputValue(false); +outputVariable3.setLockOutputValueInRange(false); +outputVariable3.addTerm(new ZShape("b", 0.300, 0.600)); +outputVariable3.addTerm(new SShape("a", 0.000, 0.250)); +outputVariable3.addTerm(new SShape("c", 0.700, 1.000)); +engine.addOutputVariable(outputVariable3); + +OutputVariable outputVariable4 = new OutputVariable(); +outputVariable4.setEnabled(true); +outputVariable4.setName("Concaves"); +outputVariable4.setRange(0.000, 1.000); +outputVariable4.fuzzyOutput().setAccumulation(null); +outputVariable4.setDefuzzifier(new WeightedAverage("Automatic")); +outputVariable4.setDefaultValue(Double.NaN); +outputVariable4.setLockPreviousOutputValue(false); +outputVariable4.setLockOutputValueInRange(false); +outputVariable4.addTerm(new Concave("b", 0.500, 0.400)); +outputVariable4.addTerm(new Concave("a", 0.240, 0.250)); +outputVariable4.addTerm(new Concave("c", 0.900, 1.000)); +engine.addOutputVariable(outputVariable4); + +RuleBlock ruleBlock = new RuleBlock(); +ruleBlock.setEnabled(true); +ruleBlock.setName(""); +ruleBlock.setConjunction(null); +ruleBlock.setDisjunction(null); +ruleBlock.setActivation(null); +ruleBlock.addRule(Rule.parse("if X is small then Ramps is a and Sigmoids is a and ZSShapes is a and Concaves is a", engine)); +ruleBlock.addRule(Rule.parse("if X is medium then Ramps is b and Sigmoids is b and ZSShapes is b and Concaves is b", engine)); +ruleBlock.addRule(Rule.parse("if X is large then Ramps is c and Sigmoids is c and ZSShapes is c and Concaves is c", engine)); +engine.addRuleBlock(ruleBlock); + + +} +} |