Class NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure

java.lang.Object

org.tweetyproject.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>

org.tweetyproject.logics.pcl.analysis.UpperApproxDistanceMinimizationInconsistencyMeasure

org.tweetyproject.logics.pcl.analysis.NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure

All Implemented Interfaces:

PostulateEvaluatable<ProbabilisticConditional>, InconsistencyMeasure<BeliefSet<ProbabilisticConditional, ?>>

public class NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure
extends UpperApproxDistanceMinimizationInconsistencyMeasure

This class models a normalized approximation from above to the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], see [PhD thesis, Thimm].

Author:

Matthias Thimm

Field Summary

Fields inherited from interface org.tweetyproject.logics.commons.analysis.InconsistencyMeasure

MEASURE_TOLERANCE

Constructor Summary

Constructors

Constructor	Description
NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder)	Constructor

Method Summary

Modifier and Type	Method	Description
Double	inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)	This method measures the inconsistency of the given set of formulas.

Methods inherited from class org.tweetyproject.logics.commons.analysis.BeliefSetInconsistencyMeasure

inconsistencyMeasure

Methods inherited from class java.lang.Object

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

Constructor Details

NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure

public NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder)

Constructor

Parameters:

rootFinder - the rootfinder

Method Details

inconsistencyMeasure

public Double inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)

Description copied from class: BeliefSetInconsistencyMeasure

This method measures the inconsistency of the given set of formulas.

Overrides:

inconsistencyMeasure in class UpperApproxDistanceMinimizationInconsistencyMeasure

Parameters:

formulas - a collection of formulas.

Returns:

a Double indicating the degree of inconsistency.