org.dllearner.algorithms.decisiontrees.dsttdt.dst

Class MassFunction<T extends Comparable<? super T>>

java.lang.Object

org.dllearner.algorithms.decisiontrees.dsttdt.dst.MassFunction<T>

Type Parameters:

T -

public class MassFunction<T extends Comparable<? super T>>
extends Object

A class for representing a BBA

Author:

Giuseppe Rizzo

Constructor Summary

Constructors

Constructor and Description
MassFunction(List<T> set) Constructor

Method Summary

Modifier and Type	Method and Description
double	calcolaPlausibilityFunction(List<T> ipotesi) Compute the plausibility function value
MassFunction	combineEvidences(MassFunction... function) Dempster rule for more BBAs
MassFunction	combineEvidences(MassFunction function)
MassFunction	combineEvidencesDuboisPrade(MassFunction... function)
MassFunction<T>	combineEvidencesDuboisPrade(MassFunction function) Implementation of Dubois-Prade combination rule
double	computeBeliefFunction(List<T> hypothesis) Compute the belief function value
void	generatePowerSet() method for generating the powerset of a frame Of Discernment
double	getConfirmationFunctionValue(List<T> ipotesi) Computation of the confirmation function
double	getConflict(MassFunction function) Compute the conflict between two hypotheses
double	getConfusionMeasure() The method computes a confusion measure described in Smarandache et.al as discordant measure
List<T>	getFrame()
double	getGlobalUncertaintyMeasure()
double	getNonSpecificityMeasureValue()
double	getPignisticTransformation(List<T> cl)
double	getRandomnessMeasure()
List<T>[]	getSubsetsOfFrame() Returns the subset of a frame of discernment
double	getValue(List<T> label) Returns the value of a BBA for a specific element of class
void	setValues(List<T> label, double value) Set a specific value for this BBA
String	toString()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

MassFunction

public MassFunction(List<T> set)

Constructor

Parameters:

set -

Method Detail

generatePowerSet

public void generatePowerSet()

method for generating the powerset of a frame Of Discernment

getSubsetsOfFrame

public List<T>[] getSubsetsOfFrame()

Returns the subset of a frame of discernment

Returns:

insieme potenza

getFrame

public List<T> getFrame()

setValues

public void setValues(List<T> label,
                      double value)

Set a specific value for this BBA

getValue

public double getValue(List<T> label)

Returns the value of a BBA for a specific element of class

Parameters:

label -

Returns:

the value of a bba or NaN

getNonSpecificityMeasureValue

public double getNonSpecificityMeasureValue()

getRandomnessMeasure

public double getRandomnessMeasure()

getPignisticTransformation

public double getPignisticTransformation(List<T> cl)

getGlobalUncertaintyMeasure

public double getGlobalUncertaintyMeasure()

getConfusionMeasure

public double getConfusionMeasure()

The method computes a confusion measure described in Smarandache et.al as discordant measure

Returns:

combineEvidences

public MassFunction combineEvidences(MassFunction function)

combineEvidences

public MassFunction combineEvidences(MassFunction... function)

Dempster rule for more BBAs

Parameters:

function -

Returns:

combineEvidencesDuboisPrade

public MassFunction<T> combineEvidencesDuboisPrade(MassFunction function)

Implementation of Dubois-Prade combination rule

Parameters:

function -

Returns:

combineEvidencesDuboisPrade

public MassFunction combineEvidencesDuboisPrade(MassFunction... function)

getConflict

public double getConflict(MassFunction function)

Compute the conflict between two hypotheses

Parameters:

function -

Returns:

computeBeliefFunction

public double computeBeliefFunction(List<T> hypothesis)

Compute the belief function value

Parameters:

hypothesis -

Returns:

calcolaPlausibilityFunction

public double calcolaPlausibilityFunction(List<T> ipotesi)

Compute the plausibility function value

Parameters:

ipotesi -

Returns:

getConfirmationFunctionValue

public double getConfirmationFunctionValue(List<T> ipotesi)

Computation of the confirmation function

Parameters:

ipotesi -

Returns:

toString

public String toString()

Overrides:

toString in class Object