keel.Algorithms.Associative_Classification.ClassifierFuzzyFCRA

Class Individual

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierFuzzyFCRA.Individual

All Implemented Interfaces:

java.lang.Comparable

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

This class contains the representation of the individuals of the population

Since:

JDK1.5

Version:

1.0

Author:

Written by Jesus Alcalá (University of Granada) 09/02/2010

Constructor Summary

Constructors

Constructor and Description
Individual() Default Constructor
Individual(double wCAR, double wV, int lengthSC) Constructor with parameters.
Individual(int[] chromosome, double wCAR, double wV, int lengthSC) Constructor with parameters

Method Summary

Modifier and Type	Method and Description
Individual	clone() Clone Function
int	compareTo(java.lang.Object a) Function to compare objects of the Individual class Necessary to be able to use "sort" function It sorts in an increasing order of fitness
void	evaluate(Apriori apriori, double n1, double n2, int Jmax) Evaluates this individual
RuleBase	generateRB(Apriori apriori, double n1, double n2, int Jmax) Generates the Rule Base with adjusted fuzzy confidences
double	getAccuracy() Function to return the accuracy of the individual
double	getFitness() Function to return the fitness of the individual
double	getMinFC() Function to return the minimum confidence of the individual
double	getMinFS() Function to return the minimum support of the individual
void	interchangeValues(Individual indiv, int pointCross1, int pointCross2) It interchanges the values between the position pointCross1 and pointCross2
boolean	isNew() Function to return if this individual is new in the population
void	mutation(double prob) It applies the mutation operator
void	randomValues() Initialization of the individual with random values
int	size() It returns the number of rules in the rule base

Methods inherited from class java.lang.Object

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

Constructor Detail

Individual

public Individual()

Default Constructor

Individual

public Individual(int[] chromosome,
                  double wCAR,
                  double wV,
                  int lengthSC)

Constructor with parameters

Parameters:

chromosome - int[] Chromosome to build the individual

wCAR - double relative weight of the classification accuracy rate

wV - double relative weight of the number of fuzzy rules

lengthSC - int total length of the individual

Individual

public Individual(double wCAR,
                  double wV,
                  int lengthSC)

Constructor with parameters. Chromosome will be created empty.

Parameters:

wCAR - double relative weight of the classification accuracy rate

wV - double relative weight of the number of fuzzy rules

lengthSC - int total length of the individual

Method Detail

randomValues

public void randomValues()

Initialization of the individual with random values

interchangeValues

public void interchangeValues(Individual indiv,
                              int pointCross1,
                              int pointCross2)

It interchanges the values between the position pointCross1 and pointCross2

Parameters:

indiv - Inidividual an individual

pointCross1 - int left posotion

pointCross2 - int right posotion

size

public int size()

It returns the number of rules in the rule base

Returns:

int Rule base's size

mutation

public void mutation(double prob)

It applies the mutation operator

Parameters:

prob - Probability that a chromosome has to mutate.

clone

public Individual clone()

Clone Function

Overrides:

clone in class java.lang.Object

Returns:

Copy of the Individual object.

isNew

public boolean isNew()

Function to return if this individual is new in the population

Returns:

boolean true = it is-, false = it isn't

getAccuracy

public double getAccuracy()

Function to return the accuracy of the individual

Returns:

double The accuracy of the individual

getFitness

public double getFitness()

Function to return the fitness of the individual

Returns:

double The fitness of the individual

getMinFS

public double getMinFS()

Function to return the minimum support of the individual

Returns:

double The minimum support of the individual

getMinFC

public double getMinFC()

Function to return the minimum confidence of the individual

Returns:

double The minimum confidence of the individual

generateRB

public RuleBase generateRB(Apriori apriori,
                           double n1,
                           double n2,
                           int Jmax)

Generates the Rule Base with adjusted fuzzy confidences

Parameters:

apriori - Apriori Apriori object

n1 - double learning rate (Nozaki method)

n2 - double learning rate (Nozaki method)

Jmax - int number of iterations (Nozaki method)

Returns:

RuleBase The whole CAR rule set

evaluate

public void evaluate(Apriori apriori,
                     double n1,
                     double n2,
                     int Jmax)

Evaluates this individual

Parameters:

apriori - Apriori rules used to evaluates the individual

n1 - double learning rate (Nozaki method)

n2 - double learning rate (Nozaki method)

Jmax - int number of iterations (Nozaki method)

compareTo

public int compareTo(java.lang.Object a)

Function to compare objects of the Individual class Necessary to be able to use "sort" function It sorts in an increasing order of fitness

Specified by:

compareTo in interface java.lang.Comparable

Parameters:

a - Individual to be compared.