keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Model

Class FuzzyGPRegSymModel

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Shared.Fuzzy.FuzzyRegressor

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

public class FuzzyGPRegSymModel
extends FuzzyRegressor

Fuzzy GP regresion model. Wrappers used with genetic algorithms

Since:

JDK1.5

Version:

1.0

Author:

Written by Luciano Sánchez (University of Oviedo) 25/01/2004, Modified by M.R. Suárez (University of Oviedo) 18/12/2008, Modified by Enrique A. de la Cal (University of Oviedo) 21/12/2008

Field Summary

Fields inherited from class keel.Algorithms.Fuzzy_Rule_Learning.Shared.Fuzzy.FuzzyRegressor

constType, Crisp, Fuzzy, Interval

Constructor Summary

Constructors

Constructor and Description
FuzzyGPRegSymModel(FuzzyGPRegSymModel mb) Constructor.
FuzzyGPRegSymModel(NodeExprHold pR, double kmin, double kmax, int noutputs, int typectes) Constructor.

Method Summary

Modifier and Type	Method and Description
FuzzyRegressor	clone() This method clone a fuzzy model
void	debug() This method is for debug
FuzzyAlphaCut	output(FuzzyAlphaCut[] x) This method return the output of the model like fuzzy alpha cuts
void	set(FuzzyGPRegSymModel mb) This method assing the properties of a fuzzy system of symbolic regression for GP model to another one

Methods inherited from class java.lang.Object

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

Constructor Detail

FuzzyGPRegSymModel

public FuzzyGPRegSymModel(NodeExprHold pR,
                          double kmin,
                          double kmax,
                          int noutputs,
                          int typectes)

Constructor. Generate a new fuzzy system of symbolic regression for GP model

Parameters:

pR - The node

kmin - Minimum k

kmax - Maximum k

noutputs - Number of outputs

typectes - type of constants

FuzzyGPRegSymModel

public FuzzyGPRegSymModel(FuzzyGPRegSymModel mb)

Constructor. Generate a new fuzzy system of symbolic regression for GP model from another one

Parameters:

mb - The fuzzy system of symbolic regression for GP model

Method Detail

set

public void set(FuzzyGPRegSymModel mb)

This method assing the properties of a fuzzy system of symbolic regression for GP model to another one

Parameters:

mb - The fuzzy system of symbolic regression for GP model

clone

public FuzzyRegressor clone()

This method clone a fuzzy model

Specified by:

clone in class FuzzyRegressor

Returns:

clone of the fuzzy regresion model

debug

public void debug()

This method is for debug

Specified by:

debug in class FuzzyRegressor

output

public FuzzyAlphaCut output(FuzzyAlphaCut[] x)

This method return the output of the model like fuzzy alpha cuts

Specified by:

output in class FuzzyRegressor

Parameters:

x - The output

Returns:

the output of the model like fuzzy alpha cuts