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);
+
+
+}
+}