JAVA API

[Juan Rada-Vilela (admin)]

Hi Fernando,

The fuzzy set is within the Accumulated term in the OutputVariable: engine.getOutputVariable("Risk").fuzzyOutput().toString() You can iterate over each term in the fuzzyOutput().getTerms() and there is your output fuzzy set.

Cheers.

[Unknown]

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

[Unknown]

The answer should be: CAMINAR

Regards

[Juan Rada-Vilela (admin)]

Hi Allison,

I am not sure why the answer you expect is Caminar. The fuzzy output is showing the following fuzzy set:

0,250  term: CAMINAR 
0,067  term: LENTO 
0,267  term: CORRER 
0,067  term: TROTAR

If you take the term with the highest degree to which a term has been activated, the answer would be CORRER, not CAMINAR.

[Unknown]

Hello

Sorry, I think that the answer should be TROTAR because the centroid is 3.8559826946848017, a value close to the center of the fuzzy set TROTAR. And if I fuzzify 3.8559826946848017,

velocida_peaton.fuzzify(engine.getOutputValue("velocida_peaton"))

output:

0,000/MUYLENTO + 0,000/LENTO + 0,144/CAMINAR + 0,856/TROTAR + 0,000/CORRER + 0,000/CORRERMUCHO

(The example is here: http://vimeo.com/11262053 )

And why activatedTerm.getName() doesn’t work in my example?

Regards

[Juan Rada-Vilela (admin)]

Hi Allison,

what you have done is correct. You probably do not get anything from activatedTerm because it is a wrapper of another term. Please, do instead activatedTerm.getTerm().getName().

[Unknown]

Thanks, now it works.

But I still don’t know how to get the output fuzzy set (In this case: TROTAR).

[Author]

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