keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Model

Class FuzzyGPModel

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Model.Model

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Model.FuzzyGPModel

public class FuzzyGPModel
extends Model

Class for management fuzzy models in GP. Wrappers used with genetic algorithms

Since:

JDK1.5

Version:

1.0

Author:

Written by Luciano Sánchez (University of Oviedo) 21/01/2004, Modified by M.R. Suárez (University of Oviedo) 18/12/2008, Modified by Enrique A. de la Cal (University of Oviedo) 21/12/2008

Constructor Summary

Constructors

Constructor and Description
FuzzyGPModel(FuzzyGPModel mb) Constructor.
FuzzyGPModel(NodeRuleBase pR, FuzzyPartition c, int td) Constructor.

Method Summary

Modifier and Type	Method and Description
Model	clone() This method clone a fuzzy model for GP
void	debug() This method is for debug
double	output(double[] x) This method return the output of the model defuzzified
void	set(FuzzyGPModel mb) This method assign a fuzzy model for GP to anothe one

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FuzzyGPModel

public FuzzyGPModel(NodeRuleBase pR,
                    FuzzyPartition c,
                    int td)

Constructor. Inicialize a new fuzzy model for GP

Parameters:

pR - Base rule

c - Fuzzy partition

td - Type of defuzzifier

FuzzyGPModel

public FuzzyGPModel(FuzzyGPModel mb)

Constructor. Initialize a new fuzzy model fro GP from another one

Parameters:

mb - The fuzzy model for GP

Method Detail

set

public void set(FuzzyGPModel mb)

This method assign a fuzzy model for GP to anothe one

Parameters:

mb - The fuzzy model for GP

clone

public Model clone()

This method clone a fuzzy model for GP

Specified by:

clone in class Model

Returns:

clone of the fuzzy model for GP

debug

public void debug()

This method is for debug

Specified by:

debug in class Model

output

public double output(double[] x)

This method return the output of the model defuzzified

Specified by:

output in class Model

Parameters:

x - The output

Returns:

the output of the model defuzzified