1 files changed, 105 insertions, 0 deletions
diff --git a/examples/mamdani/AllTerms.java b/examples/mamdani/AllTerms.java
new file mode 100644
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--- /dev/null
+++ b/examples/mamdani/AllTerms.java
@@ -0,0 +1,105 @@
+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 AllTerms{
+public static void main(String[] args){
+Engine engine = new Engine();
+engine.setName("qtfuzzylite");
+
+InputVariable inputVariable = new InputVariable();
+inputVariable.setEnabled(true);
+inputVariable.setName("AllInputTerms");
+inputVariable.setRange(0.000, 6.500);
+inputVariable.addTerm(new Sigmoid("A", 0.500, -20.000));
+inputVariable.addTerm(new ZShape("B", 0.000, 1.000));
+inputVariable.addTerm(new Ramp("C", 1.000, 0.000));
+inputVariable.addTerm(new Triangle("D", 0.500, 1.000, 1.500));
+inputVariable.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
+inputVariable.addTerm(new Concave("F", 0.850, 0.250));
+inputVariable.addTerm(new Rectangle("G", 1.750, 2.250));
+inputVariable.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
+inputVariable.addTerm(new Gaussian("I", 3.000, 0.200));
+inputVariable.addTerm(new Cosine("J", 3.250, 0.650));
+inputVariable.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
+inputVariable.addTerm(new Spike("L", 3.640, 1.040));
+inputVariable.addTerm(new Bell("M", 4.000, 0.250, 3.000));
+inputVariable.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
+inputVariable.addTerm(new Concave("O", 5.650, 6.250));
+inputVariable.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
+inputVariable.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
+inputVariable.addTerm(new Ramp("R", 5.500, 6.500));
+inputVariable.addTerm(new SShape("S", 5.500, 6.500));
+inputVariable.addTerm(new Sigmoid("T", 6.000, 20.000));
+engine.addInputVariable(inputVariable);
+
+OutputVariable outputVariable = new OutputVariable();
+outputVariable.setEnabled(true);
+outputVariable.setName("AllOutputTerms");
+outputVariable.setRange(0.000, 6.500);
+outputVariable.fuzzyOutput().setAccumulation(new Maximum());
+outputVariable.setDefuzzifier(new Centroid(200));
+outputVariable.setDefaultValue(Double.NaN);
+outputVariable.setLockPreviousOutputValue(false);
+outputVariable.setLockOutputValueInRange(false);
+outputVariable.addTerm(new Sigmoid("A", 0.500, -20.000));
+outputVariable.addTerm(new ZShape("B", 0.000, 1.000));
+outputVariable.addTerm(new Ramp("C", 1.000, 0.000));
+outputVariable.addTerm(new Triangle("D", 0.500, 1.000, 1.500));
+outputVariable.addTerm(new Trapezoid("E", 1.000, 1.250, 1.750, 2.000));
+outputVariable.addTerm(new Concave("F", 0.850, 0.250));
+outputVariable.addTerm(new Rectangle("G", 1.750, 2.250));
+outputVariable.addTerm(Discrete.create("H", 2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750, 1.000, 3.000, 0.000));
+outputVariable.addTerm(new Gaussian("I", 3.000, 0.200));
+outputVariable.addTerm(new Cosine("J", 3.250, 0.650));
+outputVariable.addTerm(new GaussianProduct("K", 3.500, 0.100, 3.300, 0.300));
+outputVariable.addTerm(new Spike("L", 3.640, 1.040));
+outputVariable.addTerm(new Bell("M", 4.000, 0.250, 3.000));
+outputVariable.addTerm(new PiShape("N", 4.000, 4.500, 4.500, 5.000));
+outputVariable.addTerm(new Concave("O", 5.650, 6.250));
+outputVariable.addTerm(new SigmoidDifference("P", 4.750, 10.000, 30.000, 5.250));
+outputVariable.addTerm(new SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750));
+outputVariable.addTerm(new Ramp("R", 5.500, 6.500));
+outputVariable.addTerm(new SShape("S", 5.500, 6.500));
+outputVariable.addTerm(new Sigmoid("T", 6.000, 20.000));
+engine.addOutputVariable(outputVariable);
+
+RuleBlock ruleBlock = new RuleBlock();
+ruleBlock.setEnabled(true);
+ruleBlock.setName("");
+ruleBlock.setConjunction(new Minimum());
+ruleBlock.setDisjunction(new Maximum());
+ruleBlock.setActivation(new Minimum());
+ruleBlock.addRule(Rule.parse("if AllInputTerms is A then AllOutputTerms is T", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is B then AllOutputTerms is S", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is C then AllOutputTerms is R", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is D then AllOutputTerms is Q", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is E then AllOutputTerms is P", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is F then AllOutputTerms is O", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is G then AllOutputTerms is N", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is H then AllOutputTerms is M", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is I then AllOutputTerms is L", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is J then AllOutputTerms is K", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is K then AllOutputTerms is J", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is L then AllOutputTerms is I", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is M then AllOutputTerms is H", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is N then AllOutputTerms is G", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is O then AllOutputTerms is F", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is P then AllOutputTerms is E", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is Q then AllOutputTerms is D", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is R then AllOutputTerms is C", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is S then AllOutputTerms is B", engine));
+ruleBlock.addRule(Rule.parse("if AllInputTerms is T then AllOutputTerms is A", engine));
+engine.addRuleBlock(ruleBlock);
+
+
+}
+}