Class MinimalViolationInconsistencyMeasure

java.lang.Object

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

org.tweetyproject.logics.pcl.analysis.MinimalViolationInconsistencyMeasure

All Implemented Interfaces:

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

public class MinimalViolationInconsistencyMeasure
extends BeliefSetInconsistencyMeasure<ProbabilisticConditional>

This class provides a general implementation for the minimal violation inconsistency measure, cf. [Potyka, 2014]. It accepts any real vector norm and the used solver can be configured.

Author:

Nico Potyka, Matthias Thimm

Field Summary

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

MEASURE_TOLERANCE

Constructor Summary

Constructors

Constructor	Description
MinimalViolationInconsistencyMeasure(RealVectorNorm norm, Solver solver)	Creates a new measure the given norm

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

MinimalViolationInconsistencyMeasure

public MinimalViolationInconsistencyMeasure(RealVectorNorm norm,
 Solver solver)

Creates a new measure the given norm

Parameters:

norm - some norm.

solver - the solver to be used

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.

Specified by:

inconsistencyMeasure in class BeliefSetInconsistencyMeasure<ProbabilisticConditional>

Parameters:

formulas - a collection of formulas.

Returns:

a Double indicating the degree of inconsistency.