/***********************************************************************
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.ClassifierMOGUL;
/**
* <p>
* @author Written by Jesus Alcala Fernandez (University of Granada) 01/01/2004
* @author Modified by Francisco Jos� Berlanga (University of Ja�n) 09/12/2008
* @version 1.0
* @since JDK 1.6
* </p>
*/
class Rule {
/**
* <p>
* Each rule of the population has this form
* </p>
*/
public FuzzySet [] Ant;
public T_Consequent [] Cons;
/**
* <p>
* Constructor
* </p>
* @param n_ant int Number of input variables
* @param n_clases int Number of classes for the problem
*/
public Rule(int n_ant, int n_clases) {
int i;
Ant = new FuzzySet[n_ant];
Cons = new T_Consequent[n_clases];
for (i=0; i<n_ant; i++) Ant[i] = new FuzzySet();
for (i=0; i<n_clases; i++) Cons[i] = new T_Consequent();
}
}