/*********************************************************************** 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; } }