1 files changed, 73 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..7046734
--- /dev/null
+++ b/examples/takagi-sugeno/octave/linear_tip_calculator.java
@@ -0,0 +1,73 @@
+import com.fuzzylite.*;
+import com.fuzzylite.activation.*
+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){
+//Code automatically generated with fuzzylite 6.0.
+
+Engine engine = new Engine();
+engine.setName("linear_tip_calculator");
+engine.setDescription("");
+
+InputVariable FoodQuality = new InputVariable();
+FoodQuality.setName("FoodQuality");
+FoodQuality.setDescription("");
+FoodQuality.setEnabled(true);
+FoodQuality.setRange(1.000, 10.000);
+FoodQuality.setLockValueInRange(false);
+FoodQuality.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000));
+FoodQuality.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000));
+engine.addInputVariable(FoodQuality);
+
+InputVariable Service = new InputVariable();
+Service.setName("Service");
+Service.setDescription("");
+Service.setEnabled(true);
+Service.setRange(1.000, 10.000);
+Service.setLockValueInRange(false);
+Service.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000));
+Service.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000));
+engine.addInputVariable(Service);
+
+OutputVariable Tip = new OutputVariable();
+Tip.setName("Tip");
+Tip.setDescription("");
+Tip.setEnabled(true);
+Tip.setRange(10.000, 20.000);
+Tip.setLockValueInRange(false);
+Tip.setAggregation(null);
+Tip.setDefuzzifier(new WeightedAverage("TakagiSugeno"));
+Tip.setDefaultValue(Double.NaN);
+Tip.setLockPreviousValue(false);
+Tip.addTerm(Linear.create("TenPercent", engine, 0.000, 0.000, 10.000));
+Tip.addTerm(Linear.create("FifteenPercent", engine, 0.000, 0.000, 15.000));
+Tip.addTerm(Linear.create("TwentyPercent", engine, 0.000, 0.000, 20.000));
+engine.addOutputVariable(Tip);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
+ruleBlock.setConjunction(new Minimum());
+ruleBlock.setDisjunction(null);
+ruleBlock.setImplication(null);
+ruleBlock.setActivation(new General());
+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);
+
+
+}
+}