keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.OptimLocal

Class FUN

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.OptimLocal.FUN

Direct Known Subclasses:

FUNGPRS

public abstract class FUN
extends java.lang.Object

Class for duplicate the initial ana used rles and fro filter the used ones. Need: The initial set of rules and the used ones

Since:

JDK1.5

Version:

1.0

Author:

Written by Luciano Sánchez (University of Oviedo) 03/03/2004, 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

Modifier and Type	Field and Description
protected double[]	initial A set of initial rules
protected boolean[]	used Mark the used rules

Method Summary

Modifier and Type	Method and Description
protected boolean[]	duplicate(boolean[] x) The protected method duplicate a set of boolean values
protected double[]	duplicate(double[] x) The protected method duplicate a set of double values
abstract double	evaluate(double[] x) The abstract method evaluate the fitness of the rule set
protected double[]	filter(double[] x) The protected method filter the rules to select the used one

Methods inherited from class java.lang.Object

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

Field Detail

used

protected boolean[] used

Mark the used rules

initial

protected double[] initial

A set of initial rules

Method Detail

duplicate

protected boolean[] duplicate(boolean[] x)

The protected method duplicate a set of boolean values

Parameters:

x - The set of boolean values

Returns:

The duplicate set

duplicate

protected double[] duplicate(double[] x)

The protected method duplicate a set of double values

Parameters:

x - The set of double values

Returns:

The duplicate set

filter

protected double[] filter(double[] x)

The protected method filter the rules to select the used one

Parameters:

x - The rules

Returns:

The used rules

evaluate

public abstract double evaluate(double[] x)

The abstract method evaluate the fitness of the rule set

Parameters:

x - The set of rules

Returns:

The result of evaluate the fitness