/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/**
* <p>
* @author Written by Albert Orriols (La Salle, Ram�n Llull University - Barcelona) 28/03/2004
* @author Modified by Xavi Sol� (La Salle, Ram�n Llull University - Barcelona) 03/12/2008
* @version 1.1
* @since JDK1.2
* </p>
*/
package keel.Algorithms.Genetic_Rule_Learning.XCS;
import java.util.*;
import java.lang.*;
import java.io.*;
public interface Attribute{
/**
* <p>
* This interface has to be implemented for all attributes representation. By now, there are 3 implementations. Each
* one is a diferent attribute representation:
* - Real Representation
* - Integer Representation
* - Ternary Representation
* </p>
*/
/** In case of being a character attribute, the char value is set as a double in the lowerValue parameter) */
public void setAllele(double lowerValue, double UpperValue);
public void setAllele(Attribute at);
/** It returns the allele as a double */
public double getAllele();
public Attribute getAttributeAllele();
/** It returns the lower allele. If is a ternary representation, it returns the character of the position as
a double*/
public double getLowerAllele();
/** It returns the upper allele. If is a ternary representation, it returns the character of the position as
a double*/
public double getUpperAllele();
/** Returns the generality of the attribute. In ternary representation a 1 is returned if the symbol is a
don't care, and in other representations the diference of the intervals is returned */
public double getGenerality ();
/** Does verify that the interval construction is correct*/
public void verifyInterval();
/** It applies the specify operator. The environmental value is needed*/
public void makeSpecify(double env);
/** The mutation is done from the environmental state. The position i is needed for integer representation to
know the bounds of the intervals*/
public void mutate(double envState);
/** It checks if the position of the classifier matches with the value in the environment*/
public boolean match(double env);
/** It checks if two attributes are equal*/
public boolean equals(Attribute at);
/** It checks if that attribute of the representation of the classifier can subsume the attribute passed as a
parameter*/
public boolean subsumes(Attribute at);
/** If it's a ternary representation it returns 1 if is # and 0 otherwise. In representations with intervals
it returns the diference between them*/
public double isDontCareSymbol();
/** Returns if the current interval is more general than the interval given as a parameter */
public boolean isMoreGeneral(Attribute at);
/** Prints the classifier representation */
public void print();
public void print(PrintWriter fout);
public void printNotNorm(PrintWriter fout, Vector conv);
public void printNotNorm(PrintWriter fout, int lo);
public void printNotNorm(PrintWriter fout, double lo, double up);
//Prints the character or interval as following:
// System.out.print ("; "+mixedRep[i].getCharAllele());
// System.out.print ("; "+mixedRep[i].getLowerAllele()+", "+mixedRep[i].getUpperAllele());
}