public static void main(String[] args) {
Engine engine = new Engine();
engine.setName("sltbu");
InputVariable inputVariable1 = new InputVariable();
inputVariable1.setEnabled(true);
inputVariable1.setName("distance");
inputVariable1.setRange(0.000, 25.000);
inputVariable1.addTerm(new ZShape("near", 1.000, 2.000));
inputVariable1.addTerm(new SShape("far", 1.000, 2.000));
engine.addInputVariable(inputVariable1);
InputVariable inputVariable2 = new InputVariable();
inputVariable2.setEnabled(true);
inputVariable2.setName("control1");
inputVariable2.setRange(-0.785, 0.785);
engine.addInputVariable(inputVariable2);
InputVariable inputVariable3 = new InputVariable();
inputVariable3.setEnabled(true);
inputVariable3.setName("control2");
inputVariable3.setRange(-0.785, 0.785);
engine.addInputVariable(inputVariable3);
OutputVariable outputVariable = new OutputVariable();
outputVariable.setEnabled(true);
outputVariable.setName("control");
outputVariable.setRange(-0.785, 0.785);
outputVariable.fuzzyOutput().setAccumulation(new Maximum());
outputVariable.setDefuzzifier(new WeightedAverage());
outputVariable.setDefaultValue(Double.NaN);
outputVariable.setLockValidOutput(false);
outputVariable.setLockOutputRange(false);
outputVariable.addTerm(
Linear.create("out1mf1", engine.getInputVariables(), 0.000, 0.000, 1.000, 0.000));
outputVariable.addTerm(
Linear.create("out1mf2", engine.getInputVariables(), 0.000, 1.000, 0.000, 0.000));
engine.addOutputVariable(outputVariable);
RuleBlock ruleBlock = new RuleBlock();
ruleBlock.setEnabled(true);
ruleBlock.setName("");
ruleBlock.setConjunction(new AlgebraicProduct());
ruleBlock.setDisjunction(new Maximum());
ruleBlock.setActivation(new AlgebraicProduct());
ruleBlock.addRule(Rule.parse("if distance is near then control is out1mf1", engine));
ruleBlock.addRule(Rule.parse("if distance is far then control is out1mf2", engine));
engine.addRuleBlock(ruleBlock);
}
public static void main(String[] args) {
Engine engine = new Engine();
engine.setName("anfis");
InputVariable inputVariable1 = new InputVariable();
inputVariable1.setEnabled(true);
inputVariable1.setName("in_n1");
inputVariable1.setRange(1.000, 31.000);
inputVariable1.addTerm(new Bell("in1mf1", 2.253, 16.220, 5.050));
inputVariable1.addTerm(new Bell("in1mf2", 31.260, 15.021, 1.843));
engine.addInputVariable(inputVariable1);
InputVariable inputVariable2 = new InputVariable();
inputVariable2.setEnabled(true);
inputVariable2.setName("in_n2");
inputVariable2.setRange(1.000, 31.000);
inputVariable2.addTerm(new Bell("in2mf1", 0.740, 15.021, 1.843));
inputVariable2.addTerm(new Bell("in2mf2", 29.747, 16.220, 5.050));
engine.addInputVariable(inputVariable2);
OutputVariable outputVariable = new OutputVariable();
outputVariable.setEnabled(true);
outputVariable.setName("out1");
outputVariable.setRange(-0.334, 1.000);
outputVariable.fuzzyOutput().setAccumulation(null);
outputVariable.setDefuzzifier(new WeightedAverage("TakagiSugeno"));
outputVariable.setDefaultValue(Double.NaN);
outputVariable.setLockPreviousOutputValue(false);
outputVariable.setLockOutputValueInRange(false);
outputVariable.addTerm(Linear.create("out1mf1", engine, 0.026, 0.071, -0.615));
outputVariable.addTerm(Linear.create("out1mf2", engine, -0.036, 0.036, -1.169));
outputVariable.addTerm(Linear.create("out1mf3", engine, -0.094, 0.094, 2.231));
outputVariable.addTerm(Linear.create("out1mf4", engine, -0.071, -0.026, 2.479));
engine.addOutputVariable(outputVariable);
RuleBlock ruleBlock = new RuleBlock();
ruleBlock.setEnabled(true);
ruleBlock.setName("");
ruleBlock.setConjunction(new AlgebraicProduct());
ruleBlock.setDisjunction(null);
ruleBlock.setActivation(null);
ruleBlock.addRule(
Rule.parse("if in_n1 is in1mf1 and in_n2 is in2mf1 then out1 is out1mf1", engine));
ruleBlock.addRule(
Rule.parse("if in_n1 is in1mf1 and in_n2 is in2mf2 then out1 is out1mf2", engine));
ruleBlock.addRule(
Rule.parse("if in_n1 is in1mf2 and in_n2 is in2mf1 then out1 is out1mf3", engine));
ruleBlock.addRule(
Rule.parse("if in_n1 is in1mf2 and in_n2 is in2mf2 then out1 is out1mf4", engine));
engine.addRuleBlock(ruleBlock);
}
// Funcion para imprimir el Fenotipo por pantalla
// Imprimimos tanto los puntos de las ecuaciones de la recta de cada valor para cada atributo como
// las reglas del motor de logica borrosa
public void printFenotipo() {
System.out.println("Fenotipo: ");
System.out.println(
"Distancia - CERCA - ("
+ mCromosoma[0]
+ ","
+ mCromosoma[1]
+ ","
+ mCromosoma[2]
+ ","
+ mCromosoma[3]
+ ")");
System.out.println(
"Distancia - NORMAL - ("
+ mCromosoma[4]
+ ","
+ mCromosoma[5]
+ ","
+ mCromosoma[6]
+ ","
+ mCromosoma[7]
+ ")");
System.out.println(
"Distancia - LEJOR - ("
+ mCromosoma[8]
+ ","
+ mCromosoma[9]
+ ","
+ mCromosoma[10]
+ ","
+ mCromosoma[11]
+ ")");
System.out.println(
"Tiempo - CERCA - ("
+ mCromosoma[12]
+ ","
+ mCromosoma[13]
+ ","
+ mCromosoma[14]
+ ","
+ mCromosoma[15]
+ ")");
System.out.println(
"Tiempo - NORMAL - ("
+ mCromosoma[16]
+ ","
+ mCromosoma[17]
+ ","
+ mCromosoma[18]
+ ","
+ mCromosoma[19]
+ ")");
System.out.println(
"Tiempo - MUCHO - ("
+ mCromosoma[20]
+ ","
+ mCromosoma[21]
+ ","
+ mCromosoma[22]
+ ","
+ mCromosoma[23]
+ ")");
System.out.println(
"DistanciaPowerPills - CERCA - ("
+ mCromosoma[24]
+ ","
+ mCromosoma[25]
+ ","
+ mCromosoma[26]
+ ","
+ mCromosoma[27]
+ ")");
System.out.println(
"DistanciaPowerPills - NORMAL - ("
+ mCromosoma[28]
+ ","
+ mCromosoma[29]
+ ","
+ mCromosoma[30]
+ ","
+ mCromosoma[31]
+ ")");
System.out.println(
"DistanciaPowerPills - LEJOS - ("
+ mCromosoma[32]
+ ","
+ mCromosoma[33]
+ ","
+ mCromosoma[34]
+ ","
+ mCromosoma[35]
+ ")");
RuleBlock reglas = mFenotipo.getRuleBlock(0);
for (Rule regla : reglas.getRules()) {
System.out.println(regla.toString());
}
}