/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
S. Garc�a (sglopez@ujaen.es)
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.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/
**********************************************************************/
/**
*
* File: Operators.java
*
* Auxiliar class with several fuzzy operators
*
* @author Written by Joaqu�n Derrac (University of Granada) 20/04/2010
* @version 1.0
* @since JDK1.5
*
*/
package keel.Algorithms.RST_Learning;
public class Operators{
/**
* Lukasiewicz T-Norm
*
* @param a First value
* @param b Second value
*
* @return Result of the T-Norm
*/
public static double TNormLukasiewicz(double a, double b){
if(a==0){
return 0;
}
if(b==0){
return 0;
}
return Math.max(a+b-1,0);
}
public static double TNormMin(double a, double b){
return Math.min(a,b);
}
public static double TNormProd(double a, double b){
if(a==0){
return 0;
}
if(b==0){
return 0;
}
return (a*b);
}
/**
* Lukasiewicz implicator
*
* @param a First value
* @param b Second value
*
* @return Result of the implicator
*/
public static double ImplicatorLukasiewicz(double a, double b){
return Math.min(1, 1 - a + b);
}
}//end-class