net.sf.tweety.logics.pcl.analysis

Class DistanceMinimizationInconsistencyMeasure

java.lang.Object

net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>

net.sf.tweety.logics.pcl.analysis.DistanceMinimizationInconsistencyMeasure

All Implemented Interfaces:

net.sf.tweety.logics.commons.analysis.InconsistencyMeasure<net.sf.tweety.commons.BeliefSet<ProbabilisticConditional>>

Direct Known Subclasses:

NormalizedDistanceMinimizationInconsistencyMeasure

public class DistanceMinimizationInconsistencyMeasure
extends net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>

This class models the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], extended by the use of different p-norms.

Author:

Matthias Thimm

Field Summary

Fields inherited from interface net.sf.tweety.logics.commons.analysis.InconsistencyMeasure

MEASURE_TOLERANCE

Constructor Summary

Constructors

Constructor and Description
DistanceMinimizationInconsistencyMeasure() Creates a new measure for p=1.
DistanceMinimizationInconsistencyMeasure(int p) Creates a new measure for the given p.

Method Summary

Modifier and Type	Method and Description
Double	getDeviation(PclBeliefSet beliefSet, ProbabilisticConditional pc) Returns the deviation of the given conditional in the nearest consistent belief set.
Double	inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)

Methods inherited from class net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure

inconsistencyMeasure

Methods inherited from class java.lang.Object

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

Constructor Detail

DistanceMinimizationInconsistencyMeasure

public DistanceMinimizationInconsistencyMeasure()

Creates a new measure for p=1.

DistanceMinimizationInconsistencyMeasure

public DistanceMinimizationInconsistencyMeasure(int p)

Creates a new measure for the given p.

Parameters:

p - some parameter for the p-norm.

Method Detail

getDeviation

public Double getDeviation(PclBeliefSet beliefSet,
                           ProbabilisticConditional pc)

Returns the deviation of the given conditional in the nearest consistent belief set.

Parameters:

beliefSet - some belief set.

pc - a probabilistic conditional.

Returns:

a double.

inconsistencyMeasure

public Double inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)

Specified by:

inconsistencyMeasure in class net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>