diff options
Diffstat (limited to 'examples/takagi-sugeno/octave/linear_tip_calculator.java')
-rw-r--r-- | examples/takagi-sugeno/octave/linear_tip_calculator.java | 62 |
1 files changed, 62 insertions, 0 deletions
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); + + +} +} |