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Diffstat (limited to 'examples/tsukamoto/tsukamoto.java')
-rw-r--r-- | examples/tsukamoto/tsukamoto.java | 96 |
1 files changed, 96 insertions, 0 deletions
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); + + +} +} |