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-rw-r--r--examples/tsukamoto/tsukamoto.java96
1 files changed, 96 insertions, 0 deletions
diff --git a/examples/tsukamoto/tsukamoto.java b/examples/tsukamoto/tsukamoto.java
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+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);
+
+
+}
+}