/***********************************************************************
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 Luciano S�nchez (University of Oviedo) 21/01/2004
* @author Modified by M.R. Su�rez (University of Oviedo) 18/12/2008
* @author Modified by Enrique A. de la Cal (University of Oviedo) 21/12/2008
* @version 1.0
* @since JDK1.5
* </p>
*/
package keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node;
import keel.Algorithms.Fuzzy_Rule_Learning.Shared.Fuzzy.*;
public class NodeVariable extends NodeExprArit {
/**
* <p>
* Class for management nodes with the number of the variable and the value of
* the variable
* </p>
*/
// Internal Node
// It's evaluated to a real number
int N; // Number of variable
FuzzyAlphaCut X; // Value of the variable
/**
* <p>
* Constructor. Generates a new variable node
* </p>
* @param n The number (index) for the new variable
*/
public NodeVariable(int n) {
super(0,NVariable);
N=n; X=new FuzzyAlphaCut(new FuzzyNumberTRIANG(0,0,0));
}
/**
* <p>
* Constructor. Generates a new variable node from another one
* </p>
* @param n The variable node
*/
public NodeVariable(NodeVariable n) {
super(0,NVariable);
N=n.N; X=n.X;
}
/**
* <p>
* This method sets a variable node to another one
* </p>
* @param n The variable node to be assigned
*/
public void set(NodeVariable n) {
super.set(n);
N=n.N; X=n.X;
}
/**
* <p>
* This method evaluates if two nodes are the same type
* </p>
* @param n The node
* @return True or false
*/
protected boolean compatibleData(Node n) {
if (mytypeid!=n.mytypeid) return false;
NodeVariable nl=(NodeVariable)n;
if (N!=nl.N) return false;
return true;
}
/**
* <p>
* This method clones a variable node
* </p>
* @return The node cloned
*/
public Node clone() {
return new NodeVariable(this);
}
/**
* <p>
* This method calculates the center of mass of the fuzzy alpha cuts
* </p>
* @return The center of mass
*/
public double CrispEval() {
return X.massCentre();
}
/**
* <p>
* This method returns the fuzzy alpha cut
* </p>
* @return The fuzzy alpha cut
*/
public FuzzyAlphaCut Beval() {
return X;
}
/**
* <p>
* This method replaces the fuzzy alpla cuts in a especified node
* </p>
* @param x The new fuzzy alpha cuts
*/
public void replaceTerminals(FuzzyAlphaCut [] x) {
X=x[N];
}
/**
* <p>
* This method is for debug
* </p>
*/
public void debug() {
System.out.print("X["+N+"]");
}
/**
* <p>
* This method is for debug
* </p>
*/
public String output() {
return ("X["+N+"]");
}
/**
* <p>
* This method returns the variable number
* </p>
* @return The variable number
*/
public int getN() {
return N;
}
}