Package org.tweetyproject.arg.dung.analysis

Class WeightedCycleCountInconsistencyMeasure<T extends DungTheory>

java.lang.Object

org.tweetyproject.arg.dung.analysis.WeightedCycleCountInconsistencyMeasure<T>

Type Parameters:

T - the type of Dung theories used, extending DungTheory

All Implemented Interfaces:

InconsistencyMeasure<T>

public class WeightedCycleCountInconsistencyMeasure<T extends DungTheory>
extends Object
implements InconsistencyMeasure<T>

This class provides an inconsistency measure for Dung's argumentation frameworks based on the count and structure of cycles within the framework. Each cycle's contribution to the inconsistency is inversely proportional to its size.

Author:

Timothy Gillespie

Constructor Summary

Constructors

Constructor	Description
WeightedCycleCountInconsistencyMeasure()

Method Summary

Modifier and Type	Method	Description
Double	inconsistencyMeasure(T argumentationFramework)	Calculates the inconsistency measure of a given Dung theory argumentation framework by evaluating the cycles within the framework.

Methods inherited from class java.lang.Object

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

Constructor Details

WeightedCycleCountInconsistencyMeasure

public WeightedCycleCountInconsistencyMeasure()

Method Details

inconsistencyMeasure

public Double inconsistencyMeasure(T argumentationFramework)

Calculates the inconsistency measure of a given Dung theory argumentation framework by evaluating the cycles within the framework. Each cycle contributes inversely to its size to the total inconsistency measure. The function first identifies all cycles, including self-loops, filters them to ensure uniqueness, and then sums the weighted contributions of each distinct cycle.

Specified by:

inconsistencyMeasure in interface InconsistencyMeasure<T extends DungTheory>

Parameters:

argumentationFramework - the Dung theory argumentation framework to measure for inconsistency

Returns:

Double the calculated inconsistency measure, where smaller cycles increase the inconsistency score more significantly