keel.Algorithms.Fuzzy_Rule_Learning.Genetic.IVTURS

Class Rule

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.IVTURS.Rule

All Implemented Interfaces:

java.lang.Comparable

public class Rule
extends java.lang.Object
implements java.lang.Comparable

Title: Rule

Description: This class codes a Fuzzy Rule

Copyright: KEEL Copyright (c) 2008

Company: KEEL

Since:

JDK1.6

Version:

1.2

Author:

Written by Jesus Alcala (University of Granada) 09/02/2011, Modified by Jose Antonio Sanz (University of Navarra) 19/12/2011, Modified by Alberto Fernandez (University of Jaen) 24/10/2013

Constructor Summary

Constructors

Constructor and Description
Rule(DataBase dataBase) Create a new rule
Rule(Rule r) Create a rule with another one

Method Summary

Modifier and Type	Method and Description
void	asignaAntecedente(int[] antecedent)
void	calculateWracc(myDataset train, java.util.ArrayList<ExampleWeight> exampleWeight) Calculate Wracc for this rule
Rule	clone() Clone
int	compareTo(java.lang.Object a)
double[]	division(double[] int1, double[] int2, int tipo)
int	getClas()
double[]	getConfidence()
double[]	getSupport()
double[]	getWracc()
boolean	isSubset(Rule a)
double[]	matching(double[] example)
int	reduceWeight(myDataset train, java.util.ArrayList<ExampleWeight> exampleWeight)
void	setConfidence(Itemset itemset)
void	setConsequent(int clas)
void	setLabel(int pos, int label)
void	setSupport(Itemset itemset)
void	setWracc(double[] wracc)
double[]	similaridadJurio(double[] example)

Methods inherited from class java.lang.Object

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

Constructor Detail

Rule

public Rule(Rule r)

Create a rule with another one

Parameters:

r - This a rule

Rule

public Rule(DataBase dataBase)

Create a new rule

Parameters:

dataBase - The database

Method Detail

clone

public Rule clone()

Clone

Overrides:

clone in class java.lang.Object

Returns:

A copy of the rule

asignaAntecedente

public void asignaAntecedente(int[] antecedent)

setConsequent

public void setConsequent(int clas)

matching

public double[] matching(double[] example)

similaridadJurio

public double[] similaridadJurio(double[] example)

setConfidence

public void setConfidence(Itemset itemset)

division

public double[] division(double[] int1,
                         double[] int2,
                         int tipo)

setSupport

public void setSupport(Itemset itemset)

setWracc

public void setWracc(double[] wracc)

getConfidence

public double[] getConfidence()

getSupport

public double[] getSupport()

getWracc

public double[] getWracc()

getClas

public int getClas()

isSubset

public boolean isSubset(Rule a)

calculateWracc

public void calculateWracc(myDataset train,
                           java.util.ArrayList<ExampleWeight> exampleWeight)

Calculate Wracc for this rule

Parameters:

train - Training dataset

exampleWeight - Weights of the patterns

reduceWeight

public int reduceWeight(myDataset train,
                        java.util.ArrayList<ExampleWeight> exampleWeight)

setLabel

public void setLabel(int pos,
                     int label)

compareTo

public int compareTo(java.lang.Object a)

Specified by:

compareTo in interface java.lang.Comparable