keel.Algorithms.Associative_Classification.ClassifierFuzzyFCRA

Class RuleBase

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierFuzzyFCRA.RuleBase

public class RuleBase
extends java.lang.Object

This class contains the representation of a Rule Set

Since:

JDK1.5

Version:

1.0

Author:

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

Constructor Summary

Constructors

Constructor and Description
RuleBase() Default Constructor
RuleBase(DataBase dataBase, myDataset train) Parameters Constructor

Method Summary

Modifier and Type	Method and Description
void	adaptiveRules(double n1, double n2, int Jmax) Function to adjust fuzzy confidences (Nozaki method)
void	add(Itemset itemset) It adds a rule to the rule base
void	add(Rule rule) It adds a rule to the rule base
boolean	BETTER(int a, int b) Maximization
RuleBase	clone() Clone Function
double	evaluate() Function to evaluate the whole rule base by using the training dataset
int	FRM(double[] example) It returns the class which better fits to the given example
Rule	get(int pos) Function to get a rule from the rule base
double	getAccuracy() Function to return the fitness of the rule base
java.lang.String	printString() It prints the whole rulebase
void	reduceRules() Function to eliminate the redundant rules
Rule	remove(int pos) It removes the rule stored in the given position
void	saveFile(java.lang.String filename, double minFS, double minFC) It stores the rule base in a given file
int	size() It returns the number of rules in the rule base
void	sort() Function to sort the rule base

Methods inherited from class java.lang.Object

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

Constructor Detail

RuleBase

public RuleBase()

Default Constructor

RuleBase

public RuleBase(DataBase dataBase,
                myDataset train)

Parameters Constructor

Parameters:

dataBase - DataBase Set of training data which is necessary to generate a rule

train - myDataset Training data set with information to construct the rule base (mainly, the training examples)

Method Detail

BETTER

public boolean BETTER(int a,
                      int b)

Maximization

Parameters:

a - int first number

b - int second number

Returns:

boolean true if a is better than b

clone

public RuleBase clone()

Clone Function

Overrides:

clone in class java.lang.Object

Returns:

a copy of the RuleBase

add

public void add(Rule rule)

It adds a rule to the rule base

Parameters:

rule - Rule Rule to be added

add

public void add(Itemset itemset)

It adds a rule to the rule base

Parameters:

itemset - Itemset itemset to be added

get

public Rule get(int pos)

Function to get a rule from the rule base

Parameters:

pos - int Position in the rule base where the desired rule is stored

Returns:

Rule The desired rule

size

public int size()

It returns the number of rules in the rule base

Returns:

int Rule base's size

sort

public void sort()

Function to sort the rule base

remove

public Rule remove(int pos)

It removes the rule stored in the given position

Parameters:

pos - int Position where the rule we want to remove is

Returns:

Rule Removed rule

evaluate

public double evaluate()

Function to evaluate the whole rule base by using the training dataset

Returns:

double Fitness of the rule base

FRM

public int FRM(double[] example)

It returns the class which better fits to the given example

Parameters:

example - int[] Example to be classified

Returns:

int Output class

getAccuracy

public double getAccuracy()

Function to return the fitness of the rule base

Returns:

double Fitness of the rule base

reduceRules

public void reduceRules()

Function to eliminate the redundant rules

adaptiveRules

public void adaptiveRules(double n1,
                          double n2,
                          int Jmax)

Function to adjust fuzzy confidences (Nozaki method)

Parameters:

n1 - double learning rate

n2 - double learning rate

Jmax - int number of iterations

printString

public java.lang.String printString()

It prints the whole rulebase

Returns:

String The whole rulebase

saveFile

public void saveFile(java.lang.String filename,
                     double minFS,
                     double minFC)

It stores the rule base in a given file

Parameters:

filename - String Name for the rulebase file

minFS - Minimum Support

minFC - Minimum Confidence