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-rw-r--r--examples/tsukamoto/tsukamoto.java138
1 files changed, 75 insertions, 63 deletions
diff --git a/examples/tsukamoto/tsukamoto.java b/examples/tsukamoto/tsukamoto.java
index e8cc824..f51d968 100644
--- a/examples/tsukamoto/tsukamoto.java
+++ b/examples/tsukamoto/tsukamoto.java
@@ -1,4 +1,5 @@
import com.fuzzylite.*;
+import com.fuzzylite.activation.*
import com.fuzzylite.defuzzifier.*;
import com.fuzzylite.factory.*;
import com.fuzzylite.hedge.*;
@@ -12,80 +13,91 @@ import com.fuzzylite.variable.*;
public class tsukamoto{
public static void main(String[] args){
+//Code automatically generated with fuzzylite 6.0.
+
Engine engine = new Engine();
-engine.setName("");
+engine.setName("tsukamoto");
+engine.setDescription("");
-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);
+InputVariable X = new InputVariable();
+X.setName("X");
+X.setDescription("");
+X.setEnabled(true);
+X.setRange(-10.000, 10.000);
+X.setLockValueInRange(false);
+X.addTerm(new Bell("small", -10.000, 5.000, 3.000));
+X.addTerm(new Bell("medium", 0.000, 5.000, 3.000));
+X.addTerm(new Bell("large", 10.000, 5.000, 3.000));
+engine.addInputVariable(X);
-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 Ramps = new OutputVariable();
+Ramps.setName("Ramps");
+Ramps.setDescription("");
+Ramps.setEnabled(true);
+Ramps.setRange(0.000, 1.000);
+Ramps.setLockValueInRange(false);
+Ramps.setAggregation(null);
+Ramps.setDefuzzifier(new WeightedAverage("Automatic"));
+Ramps.setDefaultValue(Double.NaN);
+Ramps.setLockPreviousValue(false);
+Ramps.addTerm(new Ramp("b", 0.600, 0.400));
+Ramps.addTerm(new Ramp("a", 0.000, 0.250));
+Ramps.addTerm(new Ramp("c", 0.700, 1.000));
+engine.addOutputVariable(Ramps);
-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 Sigmoids = new OutputVariable();
+Sigmoids.setName("Sigmoids");
+Sigmoids.setDescription("");
+Sigmoids.setEnabled(true);
+Sigmoids.setRange(0.020, 1.000);
+Sigmoids.setLockValueInRange(false);
+Sigmoids.setAggregation(null);
+Sigmoids.setDefuzzifier(new WeightedAverage("Automatic"));
+Sigmoids.setDefaultValue(Double.NaN);
+Sigmoids.setLockPreviousValue(false);
+Sigmoids.addTerm(new Sigmoid("b", 0.500, -30.000));
+Sigmoids.addTerm(new Sigmoid("a", 0.130, 30.000));
+Sigmoids.addTerm(new Sigmoid("c", 0.830, 30.000));
+engine.addOutputVariable(Sigmoids);
-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 ZSShapes = new OutputVariable();
+ZSShapes.setName("ZSShapes");
+ZSShapes.setDescription("");
+ZSShapes.setEnabled(true);
+ZSShapes.setRange(0.000, 1.000);
+ZSShapes.setLockValueInRange(false);
+ZSShapes.setAggregation(null);
+ZSShapes.setDefuzzifier(new WeightedAverage("Automatic"));
+ZSShapes.setDefaultValue(Double.NaN);
+ZSShapes.setLockPreviousValue(false);
+ZSShapes.addTerm(new ZShape("b", 0.300, 0.600));
+ZSShapes.addTerm(new SShape("a", 0.000, 0.250));
+ZSShapes.addTerm(new SShape("c", 0.700, 1.000));
+engine.addOutputVariable(ZSShapes);
-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);
+OutputVariable Concaves = new OutputVariable();
+Concaves.setName("Concaves");
+Concaves.setDescription("");
+Concaves.setEnabled(true);
+Concaves.setRange(0.000, 1.000);
+Concaves.setLockValueInRange(false);
+Concaves.setAggregation(null);
+Concaves.setDefuzzifier(new WeightedAverage("Automatic"));
+Concaves.setDefaultValue(Double.NaN);
+Concaves.setLockPreviousValue(false);
+Concaves.addTerm(new Concave("b", 0.500, 0.400));
+Concaves.addTerm(new Concave("a", 0.240, 0.250));
+Concaves.addTerm(new Concave("c", 0.900, 1.000));
+engine.addOutputVariable(Concaves);
RuleBlock ruleBlock = new RuleBlock();
-ruleBlock.setEnabled(true);
ruleBlock.setName("");
+ruleBlock.setDescription("");
+ruleBlock.setEnabled(true);
ruleBlock.setConjunction(null);
ruleBlock.setDisjunction(null);
-ruleBlock.setActivation(null);
+ruleBlock.setImplication(null);
+ruleBlock.setActivation(new General());
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));