From 6ce553563bc795f389f639a3a8cdfe356de71441 Mon Sep 17 00:00:00 2001 From: Johannes 'josch' Schauer Date: Sun, 27 Jan 2019 13:56:24 +0100 Subject: new upstream version 6.0 --- examples/mamdani/AllTerms.java | 125 ++++++++++++++++++++++------------------- 1 file changed, 67 insertions(+), 58 deletions(-) (limited to 'examples/mamdani/AllTerms.java') diff --git a/examples/mamdani/AllTerms.java b/examples/mamdani/AllTerms.java index c59f9a1..6d4651d 100644 --- a/examples/mamdani/AllTerms.java +++ b/examples/mamdani/AllTerms.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,72 +13,80 @@ import com.fuzzylite.variable.*; public class AllTerms{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("qtfuzzylite"); +engine.setName("AllTerms"); +engine.setDescription(""); -InputVariable inputVariable = new InputVariable(); -inputVariable.setEnabled(true); -inputVariable.setName("AllInputTerms"); -inputVariable.setRange(0.000, 6.500); -inputVariable.addTerm(new Sigmoid("A", 0.500, -20.000)); -inputVariable.addTerm(new ZShape("B", 0.000, 1.000)); -inputVariable.addTerm(new Ramp("C", 1.000, 0.000)); -inputVariable.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); -inputVariable.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); -inputVariable.addTerm(new Concave("F", 0.850, 0.250)); -inputVariable.addTerm(new Rectangle("G", 1.750, 2.250)); -inputVariable.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); -inputVariable.addTerm(new Gaussian("I", 3.000, 0.200)); -inputVariable.addTerm(new Cosine("J", 3.250, 0.650)); -inputVariable.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); -inputVariable.addTerm(new Spike("L", 3.640, 1.040)); -inputVariable.addTerm(new Bell("M", 4.000, 0.250, 3.000)); -inputVariable.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); -inputVariable.addTerm(new Concave("O", 5.650, 6.250)); -inputVariable.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); -inputVariable.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); -inputVariable.addTerm(new Ramp("R", 5.500, 6.500)); -inputVariable.addTerm(new SShape("S", 5.500, 6.500)); -inputVariable.addTerm(new Sigmoid("T", 6.000, 20.000)); -engine.addInputVariable(inputVariable); +InputVariable AllInputTerms = new InputVariable(); +AllInputTerms.setName("AllInputTerms"); +AllInputTerms.setDescription(""); +AllInputTerms.setEnabled(true); +AllInputTerms.setRange(0.000, 6.500); +AllInputTerms.setLockValueInRange(false); +AllInputTerms.addTerm(new Sigmoid("A", 0.500, -20.000)); +AllInputTerms.addTerm(new ZShape("B", 0.000, 1.000)); +AllInputTerms.addTerm(new Ramp("C", 1.000, 0.000)); +AllInputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); +AllInputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); +AllInputTerms.addTerm(new Concave("F", 0.850, 0.250)); +AllInputTerms.addTerm(new Rectangle("G", 1.750, 2.250)); +AllInputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); +AllInputTerms.addTerm(new Gaussian("I", 3.000, 0.200)); +AllInputTerms.addTerm(new Cosine("J", 3.250, 0.650)); +AllInputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); +AllInputTerms.addTerm(new Spike("L", 3.640, 1.040)); +AllInputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000)); +AllInputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); +AllInputTerms.addTerm(new Concave("O", 5.650, 6.250)); +AllInputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); +AllInputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); +AllInputTerms.addTerm(new Ramp("R", 5.500, 6.500)); +AllInputTerms.addTerm(new SShape("S", 5.500, 6.500)); +AllInputTerms.addTerm(new Sigmoid("T", 6.000, 20.000)); +engine.addInputVariable(AllInputTerms); -OutputVariable outputVariable = new OutputVariable(); -outputVariable.setEnabled(true); -outputVariable.setName("AllOutputTerms"); -outputVariable.setRange(0.000, 6.500); -outputVariable.fuzzyOutput().setAccumulation(new Maximum()); -outputVariable.setDefuzzifier(new Centroid(200)); -outputVariable.setDefaultValue(Double.NaN); -outputVariable.setLockPreviousOutputValue(false); -outputVariable.setLockOutputValueInRange(false); -outputVariable.addTerm(new Sigmoid("A", 0.500, -20.000)); -outputVariable.addTerm(new ZShape("B", 0.000, 1.000)); -outputVariable.addTerm(new Ramp("C", 1.000, 0.000)); -outputVariable.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); -outputVariable.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); -outputVariable.addTerm(new Concave("F", 0.850, 0.250)); -outputVariable.addTerm(new Rectangle("G", 1.750, 2.250)); -outputVariable.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); -outputVariable.addTerm(new Gaussian("I", 3.000, 0.200)); -outputVariable.addTerm(new Cosine("J", 3.250, 0.650)); -outputVariable.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); -outputVariable.addTerm(new Spike("L", 3.640, 1.040)); -outputVariable.addTerm(new Bell("M", 4.000, 0.250, 3.000)); -outputVariable.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); -outputVariable.addTerm(new Concave("O", 5.650, 6.250)); -outputVariable.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); -outputVariable.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); -outputVariable.addTerm(new Ramp("R", 5.500, 6.500)); -outputVariable.addTerm(new SShape("S", 5.500, 6.500)); -outputVariable.addTerm(new Sigmoid("T", 6.000, 20.000)); -engine.addOutputVariable(outputVariable); +OutputVariable AllOutputTerms = new OutputVariable(); +AllOutputTerms.setName("AllOutputTerms"); +AllOutputTerms.setDescription(""); +AllOutputTerms.setEnabled(true); +AllOutputTerms.setRange(0.000, 6.500); +AllOutputTerms.setLockValueInRange(false); +AllOutputTerms.setAggregation(new Maximum()); +AllOutputTerms.setDefuzzifier(new Centroid(200)); +AllOutputTerms.setDefaultValue(Double.NaN); +AllOutputTerms.setLockPreviousValue(false); +AllOutputTerms.addTerm(new Sigmoid("A", 0.500, -20.000)); +AllOutputTerms.addTerm(new ZShape("B", 0.000, 1.000)); +AllOutputTerms.addTerm(new Ramp("C", 1.000, 0.000)); +AllOutputTerms.addTerm(new Triangle("D", 0.500, 1.000, 1.500)); +AllOutputTerms.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000)); +AllOutputTerms.addTerm(new Concave("F", 0.850, 0.250)); +AllOutputTerms.addTerm(new Rectangle("G", 1.750, 2.250)); +AllOutputTerms.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000)); +AllOutputTerms.addTerm(new Gaussian("I", 3.000, 0.200)); +AllOutputTerms.addTerm(new Cosine("J", 3.250, 0.650)); +AllOutputTerms.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300)); +AllOutputTerms.addTerm(new Spike("L", 3.640, 1.040)); +AllOutputTerms.addTerm(new Bell("M", 4.000, 0.250, 3.000)); +AllOutputTerms.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000)); +AllOutputTerms.addTerm(new Concave("O", 5.650, 6.250)); +AllOutputTerms.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250)); +AllOutputTerms.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750)); +AllOutputTerms.addTerm(new Ramp("R", 5.500, 6.500)); +AllOutputTerms.addTerm(new SShape("S", 5.500, 6.500)); +AllOutputTerms.addTerm(new Sigmoid("T", 6.000, 20.000)); +engine.addOutputVariable(AllOutputTerms); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new Minimum()); ruleBlock.setDisjunction(new Maximum()); -ruleBlock.setActivation(new Minimum()); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if AllInputTerms is A then AllOutputTerms is T", engine)); ruleBlock.addRule(Rule.parse("if AllInputTerms is B then AllOutputTerms is S", engine)); ruleBlock.addRule(Rule.parse("if AllInputTerms is C then AllOutputTerms is R", engine)); 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