/***********************************************************************
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 NodeIs extends NodeAssert {
/**
*<p>
*Class for management a node witch is evaluated to a real number
*</p>
*/
// Internal Node
// It's evaluated to a real number
/**
* <p>
* Generate a new node witch two children
* </p>
* @param variable Node of variable type (NodeVariable)
* @param value Node of label type (Node Label)
*/
public NodeIs(NodeVariable variable, NodeLabel value) {
super(2,NEs);
children[0]=variable.clone();
children[1]=value.clone();
}
/**
* <p>
* Generate a new node from another one
* </p>
* @param n The node (NodeIs)
*/
public NodeIs(NodeIs n) {
super(n.children.length,NEs);
for (int i=0;i<children.length;i++)
children[i]=n.children[i].clone();
}
/**
* <p>
* This method sets to a NodeIs the properties from another
* </p>
* @param n The Node (NodeIs)
*/
public void set(NodeIs n) {
super.set(n);
for (int i=0;i<children.length;i++)
children[i]=n.children[i].clone();
}
/**
* <p>
* This method clone a node
* </p>
* @return The node cloned
*/
public Node clone() {
return new NodeIs(this);
}
/**
* <p>
* This method calculates the level of membership of a value to a linguistic label
* </p>
* @return The level of membership
*/
public double CrispEval() {
NodeVariable tmp1=(NodeVariable)children[0];
NodeLabel tmp2=(NodeLabel)children[1];
double x=tmp1.CrispEval();
Fuzzy b=tmp2.CrispEval();
return b.evaluateMembership(x);
}
/**
*<p>
*This method is for debug
*</p>
*/
public void debug() {
System.out.print("(");
children[0].debug();
System.out.print(") ES (");
children[1].debug();
System.out.print(")");
}
/**
* <p>
*This method is for debug
* </p>
*/
public String output() {
String output = new String("");
output = "(";
output += children[0].output();
output += ") ES (";
output += children[1].output();
output += ")";
return output;
}
}