diff options
Diffstat (limited to 'examples/mamdani/octave/mamdani_tip_calculator.java')
-rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.java | 76 |
1 files changed, 76 insertions, 0 deletions
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); + + +} +} |