And why activatedTerm.getName() doesn’t work in my example?
package ejemfuzzy1;
import com.fuzzylite.Engine;
import com.fuzzylite.defuzzifier.Centroid;
import com.fuzzylite.norm.s.Maximum;
import com.fuzzylite.norm.t.Minimum;
import com.fuzzylite.rule.Rule;
import com.fuzzylite.rule.RuleBlock;
import com.fuzzylite.term.Accumulated;
import com.fuzzylite.term.Term;
import com.fuzzylite.term.Thresholded;
import com.fuzzylite.term.Trapezoid;
import com.fuzzylite.term.Triangle;
import com.fuzzylite.variable.InputVariable;
import com.fuzzylite.variable.OutputVariable;
import java.util.List;
/**
*
* @author Fernandinho
*/
public class EjemFuzzy1 {
/**
* @param args the command line arguments
*/
public static void main(String[] args) {
Engine engine = new Engine();
engine.setName("ejemplo");
InputVariable velocidad_auto = new InputVariable();
velocidad_auto.setEnabled(true);
velocidad_auto.setName("velocidad_auto");
velocidad_auto.setRange(0.000, 60.000);
velocidad_auto.addTerm(new Trapezoid("LENTO", 0.000, 0.000, 10.000, 30.000));
velocidad_auto.addTerm(new Trapezoid("NORMAL", 10.000, 30.000, 40.000, 60.000));
velocidad_auto.addTerm(new Triangle("RAPIDO", 40.000, 60.000, 60.000));
engine.addInputVariable(velocidad_auto);
InputVariable distancia_auto = new InputVariable();
distancia_auto.setEnabled(true);
distancia_auto.setName("distancia_auto");
distancia_auto.setRange(0.000, 100.000);
distancia_auto.addTerm(new Triangle("CERCA", 0.000, 0.000, 30.000));
distancia_auto.addTerm(new Triangle("LEJOS", 20.000, 50.000, 80.000));
distancia_auto.addTerm(new Triangle("MUYLEJOS", 70.000, 100.000, 100.000));
engine.addInputVariable(distancia_auto);
OutputVariable velocida_peaton = new OutputVariable();
velocida_peaton.setEnabled(true);
velocida_peaton.setName("velocida_peaton");
velocida_peaton.setRange(0.000, 6.000);
velocida_peaton.fuzzyOutput().setAccumulation(new Maximum());
velocida_peaton.setDefuzzifier(new Centroid());
velocida_peaton.setDefaultValue(Double.NaN);
velocida_peaton.setLockValidOutput(false);
velocida_peaton.setLockOutputRange(false);
velocida_peaton.addTerm(new Trapezoid("MUYLENTO", 0.000, 0.000, 1.000, 2.000 ));
velocida_peaton.addTerm(new Triangle("LENTO", 1.000, 2.000, 3.000));
velocida_peaton.addTerm(new Triangle("CAMINAR", 2.000, 3.000, 4.000));
velocida_peaton.addTerm(new Triangle("TROTAR", 3.000, 4.000, 5.000));
velocida_peaton.addTerm(new Triangle("CORRER", 4.000, 5.000, 6.000));
velocida_peaton.addTerm(new Triangle("CORRERMUCHO", 5.000, 6.000, 6.000));
engine.addOutputVariable(velocida_peaton);
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 velocidad_auto is LENTO and distancia_auto is CERCA then velocida_peaton is CAMINAR",engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is LENTO and distancia_auto is LEJOS then velocida_peaton is LENTO", engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is LENTO and distancia_auto is MUYLEJOS then velocida_peaton is MUYLENTO",engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is NORMAL and distancia_auto is CERCA then velocida_peaton is CORRER", engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is NORMAL and distancia_auto is LEJOS then velocida_peaton is TROTAR",engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is NORMAL and distancia_auto is MUYLEJOS then velocida_peaton is CAMINAR", engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is RAPIDO and distancia_auto is CERCA then velocida_peaton is CORRERMUCHO",engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is RAPIDO and distancia_auto is LEJOS then velocida_peaton is CORRER", engine));
ruleBlock.addRule(Rule.parse("if velocidad_auto is RAPIDO and distancia_auto is MUYLEJOS then velocida_peaton is TROTAR",engine));
engine.addRuleBlock(ruleBlock);
StringBuilder status = new StringBuilder();
if (!engine.isReady(status))
throw new RuntimeException("No fue posible generar el archivo. "
+ "Los siguientes errores fueron encontrados:\n"
+ status.toString());
engine.setInputValue("velocidad_auto", 25.000);
engine.setInputValue("distancia_auto", 22.000);
engine.process();
RuleBlock ruleBlock2 = engine.getRuleBlock(0);
List<Rule> listRules = ruleBlock2.getRules();
for (Rule r : listRules) {
System.out.println( r.activationDegree(ruleBlock.getConjunction(), ruleBlock.getDisjunction()) + " -> Rule: " + r.toString());
}
Accumulated fuzzyOutput = velocida_peaton.fuzzyOutput();
List<Term> aux = fuzzyOutput.getTerms();
for (Term aux1 : aux) {
Thresholded activatedTerm = (Thresholded) aux1;
System.out.println("Term: " + activatedTerm.getName() + ": " + activatedTerm.getThreshold());
}
//System.out.println(velocida_peaton.fuzzify(engine.getOutputValue("velocida_peaton")));
//valor salida difusa
System.out.println(engine.getOutputVariable("velocida_peaton").fuzzyOutput().toString());
//System.out.println(engine.getOutputVariable("velocida_peaton").fuzzyOutput().parameters());
System.out.println(engine.getOutputValue("velocida_peaton") );
}
}output:
0.25 -> Rule: if velocidad_auto is LENTO and distancia_auto is CERCA then velocida_peaton is CAMINAR
0.06666666666666667 -> Rule: if velocidad_auto is LENTO and distancia_auto is LEJOS then velocida_peaton is LENTO
0.0 -> Rule: if velocidad_auto is LENTO and distancia_auto is MUYLEJOS then velocida_peaton is MUYLENTO
0.26666666666666666 -> Rule: if velocidad_auto is NORMAL and distancia_auto is CERCA then velocida_peaton is CORRER
0.06666666666666667 -> Rule: if velocidad_auto is NORMAL and distancia_auto is LEJOS then velocida_peaton is TROTAR
0.0 -> Rule: if velocidad_auto is NORMAL and distancia_auto is MUYLEJOS then velocida_peaton is CAMINAR
0.0 -> Rule: if velocidad_auto is RAPIDO and distancia_auto is CERCA then velocida_peaton is CORRERMUCHO
0.0 -> Rule: if velocidad_auto is RAPIDO and distancia_auto is LEJOS then velocida_peaton is CORRER
0.0 -> Rule: if velocidad_auto is RAPIDO and distancia_auto is MUYLEJOS then velocida_peaton is TROTAR
Term: : 0.25
Term: : 0.06666666666666667
Term: : 0.26666666666666666
Term: : 0.06666666666666667
term: fuzzyOutput Accumulated 0,000 6,000 Maximum term: Thresholded 0,250 Minimum term: CAMINAR Triangle 2,000 3,000 4,000 term: Thresholded 0,067 Minimum term: LENTO Triangle 1,000 2,000 3,000 term: Thresholded 0,267 Minimum term: CORRER Triangle 4,000 5,000 6,000 term: Thresholded 0,067 Minimum term: TROTAR Triangle 3,000 4,000 5,000
3.8559826946848017