/***********************************************************************
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) 23/01/2004
* @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 NodeAdd extends NodeExprArit {
/**
*<p>
*The class define a node with two children
*</p>
*/
//It's evaluated to an alfa-cuts family
/**
* <p>
* Constructor. Generate a new NodeAdd with two children: asert1 and asert2
* </p>
* @param aserto1 Children for the NodeAdd (NodeExprArit)
* @param aserto2 Children for the NodeAdd (NodeExprArit)
*/
public NodeAdd(NodeExprArit aserto1, NodeExprArit aserto2) {
super(2,NSum);
children[0]=aserto1.clone();
children[1]=aserto2.clone();
}
/**
* <p>
* Constructor: Generate a new NodeAdd from a given one (NodeAdd)
* </p>
* @param n The NodeAdd
*/
public NodeAdd(NodeAdd n) {
super(n.children.length,NSum);
for (int i=0;i<children.length;i++) children[i]=n.children[i].clone();
}
/**
* <p>
* This method sets to a NodeAdd the properties from another
* </p>
* @param n The NodeAdd
*/
public void set(NodeAdd n) {
super.set(n);
for (int i=0;i<children.length;i++) children[i]=n.children[i].clone();
}
/**
* <p>
* This method generates a new NodeAdd
* </p>
* @return The NodeAdd cloned
*/
public Node clone() {
return new NodeAdd(this);
}
/**
*<p>
* This method evaluate the alphacut of two nodes with the sum
*</p>
*@return The fuzzy alpha cuts evaluated
*/
public FuzzyAlphaCut Beval(){
NodeExprArit tmp1=(NodeExprArit)children[0];
NodeExprArit tmp2=(NodeExprArit)children[1];
FuzzyAlphaCut t1=(FuzzyAlphaCut)tmp1.Beval();
FuzzyAlphaCut t2=(FuzzyAlphaCut)tmp2.Beval();
return t1.sum(t2);
}
/**
* <p>
*This method is for debug
* </p>
*/
public void debug() {
System.out.print("(");
children[0].debug();
System.out.print(") + (");
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 += ") + (";
output += children[1].output();
output += ")";
return output;
}
}