keel.Algorithms.ImbalancedClassification.ImbalancedAlgorithms.GP_COACH_H

Class DataBase

java.lang.Object

keel.Algorithms.ImbalancedClassification.ImbalancedAlgorithms.GP_COACH_H.DataBase

public class DataBase
extends java.lang.Object

Title: DataBase

Description: This class contains the representation of a Fuzzy Data Base

Copyright: Copyright KEEL (c) 2007

Company: KEEL

Since:

JDK1.5

Version:

1.1

Author:

Written by Alberto Fernández (University of Granada) 28/10/2007, Modified by Alberto Fernández (University of Granada) 12/11/2008, Modified by Victoria Lopez (University of Granada) 09/02/2011, Modified by Victoria Lopez (University of Granada) 15/06/2011

Constructor Summary

Constructors

Constructor and Description
DataBase() Default constructor
DataBase(int n_variables, int n_labels, double[][] rangos, java.lang.String[] names, int n_layer) Constructor with parameters.

Method Summary

Modifier and Type	Method and Description
Fuzzy	clone(int i, int j) It makes a copy of a fuzzy label
double	membershipFunction(int i, int j, double X) It computes the membership degree for a input value
int	numLabels() It returns the number of fuzzy labels
int	numVariables() It returns the number of input variables
java.lang.String	printString() It prints the Data Base into an string
void	updateFuzzyLabels(double[][] tuning_matrix) Updates the fuzzy labels stored in the current database according to a lateral tuning given

Methods inherited from class java.lang.Object

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

Constructor Detail

DataBase

public DataBase()

Default constructor

DataBase

public DataBase(int n_variables,
                int n_labels,
                double[][] rangos,
                java.lang.String[] names,
                int n_layer)

Constructor with parameters. It performs a homegeneous partition of the input space for a given number of fuzzy labels.

Parameters:

n_variables - int Number of input variables of the problem

n_labels - int Number of fuzzy labels

rangos - double[][] Range of each variable (minimum and maximum values)

names - String[] Labels for the input attributes

n_layer - Number of the layer of this data base (lowest layer value is 1)

Method Detail

numVariables

public int numVariables()

It returns the number of input variables

Returns:

int the number of input variables

numLabels

public int numLabels()

It returns the number of fuzzy labels

Returns:

int the number of fuzzy labels

membershipFunction

public double membershipFunction(int i,
                                 int j,
                                 double X)

It computes the membership degree for a input value

Parameters:

i - int the input variable id

j - int the fuzzy label id

X - double the input value

Returns:

double the membership degree

clone

public Fuzzy clone(int i,
                   int j)

It makes a copy of a fuzzy label

Parameters:

i - int the input variable id

j - int the fuzzy label id

Returns:

Fuzzy a copy of a fuzzy label

updateFuzzyLabels

public void updateFuzzyLabels(double[][] tuning_matrix)

Updates the fuzzy labels stored in the current database according to a lateral tuning given

Parameters:

tuning_matrix - Double matrix codifying the lateral tuning that needs to be applied to the current fuzzy values

printString

public java.lang.String printString()

It prints the Data Base into an string

Returns:

String the data base