/***********************************************************************
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/
**********************************************************************/
package keel.Algorithms.Fuzzy_Rule_Learning.Genetic.GP_COACH;
/**
* <p>Title: Fuzzy</p>
*
* <p>Description: This class contains the representation of a fuzzy value</p>
*
* <p>Copyright: Copyright KEEL (c) 2007</p>
*
* <p>Company: KEEL </p>
*
* @author Written by Alberto Fern�ndez (University of Granada) 16/10/2007
* @author Modified by Victoria Lopez (University of Granada) 27/01/2011
* @version 1.0
* @since JDK1.5
*/
public class Fuzzy implements Comparable {
double x0, x1, x3, y;
String name;
int label;
/**
* Default constructor
*/
public Fuzzy() {
}
/**
* If fuzzyfies a crisp value
* @param X double The crips value
* @return double the degree of membership
*/
public double Fuzzify(double X) {
if ( (X <= x0) || (X >= x3)) /* If X is not in the range of D, the */
{
return (0.0); /* membership degree is 0 */
}
if (X < x1) {
return ( (X - x0) * (y / (x1 - x0)));
}
if (X > x1) {
return ( (x3 - X) * (y / (x3 - x1)));
}
return (y);
}
/**
* It makes a copy for the object
* @return Fuzzy a copy for the object
*/
public Fuzzy clone(){
Fuzzy d = new Fuzzy();
d.x0 = this.x0;
d.x1 = this.x1;
d.x3 = this.x3;
d.y = this.y;
d.name = this.name;
d.label = this.label;
return d;
}
/**
* Compares this object with the specified object for order, according to the number of label measure
*
* @return a negative integer, zero, or a positive integer as this object is less than, equal to, or greater than the specified object
*/
public int compareTo(Object a) {
if (((Fuzzy) a).label > this.label) {
return -1;
}
if (((Fuzzy) a).label < this.label) {
return 1;
}
return 0;
}
}