keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node

Class NodeVariable

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node.Node

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node.NodeExprArit

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node.NodeVariable

public class NodeVariable
extends NodeExprArit

Class for management nodes with the number of the variable and the value of the variable. Internal Node. It's evaluated to a real number

Since:

JDK1.5

Version:

1.0

Author:

Written by Luciano Sánchez (University of Oviedo) 21/01/2004, Modified by M.R. Suárez (University of Oviedo) 18/12/2008, Modified by Enrique A. de la Cal (University of Oviedo) 21/12/2008

Field Summary

Fields inherited from class keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node.Node

children, mytypeid, NAnd, NConsequent, NEs, NExp, NExprArit, NExprHold, NLabel, NLog, NMinus, NOr, NProduct, NRule, NRuleBase, NSquareRoot, NSum, NValue, NVariable

Constructor Summary

Constructors

Constructor and Description
NodeVariable(int n) Constructor.
NodeVariable(NodeVariable n) Constructor.

Method Summary

Modifier and Type	Method and Description
FuzzyAlphaCut	Beval() This method returns the fuzzy alpha cut
Node	clone() This method clones a variable node
protected boolean	compatibleData(Node n) This method evaluates if two nodes are the same type
double	CrispEval() This method calculates the center of mass of the fuzzy alpha cuts
void	debug() This method is for debug
int	getN() This method returns the variable number
java.lang.String	output() Returns the output of the node.
void	replaceTerminals(FuzzyAlphaCut[] x) This method replaces the fuzzy alpla cuts in a especified node
void	set(NodeVariable n) This method sets a variable node to another one

Methods inherited from class keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Node.Node

changeChild, child, children, compatible, nChildren, set, type

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NodeVariable

public NodeVariable(int n)

Constructor. Generates a new variable node

Parameters:

n - The number (index) for the new variable

NodeVariable

public NodeVariable(NodeVariable n)

Constructor. Generates a new variable node from another one

Parameters:

n - The variable node

Method Detail

set

public void set(NodeVariable n)

This method sets a variable node to another one

Parameters:

n - The variable node to be assigned

compatibleData

protected boolean compatibleData(Node n)

This method evaluates if two nodes are the same type

Overrides:

compatibleData in class Node

Parameters:

n - The node

Returns:

True or false

clone

public Node clone()

This method clones a variable node

Specified by:

clone in class NodeExprArit

Returns:

The node cloned

CrispEval

public double CrispEval()

This method calculates the center of mass of the fuzzy alpha cuts

Returns:

The center of mass

Beval

public FuzzyAlphaCut Beval()

This method returns the fuzzy alpha cut

Specified by:

Beval in class NodeExprArit

Returns:

The fuzzy alpha cut

replaceTerminals

public void replaceTerminals(FuzzyAlphaCut[] x)

This method replaces the fuzzy alpla cuts in a especified node

Overrides:

replaceTerminals in class Node

Parameters:

x - The new fuzzy alpha cuts

debug

public void debug()

This method is for debug

Specified by:

debug in class Node

output

public java.lang.String output()

Returns the output of the node.

Specified by:

output in class Node

Returns:

the output of the node.

getN

public int getN()

This method returns the variable number

Returns:

The variable number