net.sf.tweety.logics.pcl.analysis

Class BalancedMachineShop

java.lang.Object

net.sf.tweety.logics.pcl.analysis.BalancedMachineShop

All Implemented Interfaces:

BeliefBaseMachineShop

public class BalancedMachineShop
extends java.lang.Object
implements BeliefBaseMachineShop

This class implements a consistency restorer using balanced distance minimization, see [Diss, Thimm] for details.

Author:

Matthias Thimm

Field Summary

Fields

Modifier and Type	Field and Description
private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet>	culpabilityMeasure The culpability measure used by this machine shop.
static double	PRECISIONCULP The precision for comparing culpability values.
static double	PRECISIONOPT The precision for comparing culpability values.

Constructor Summary

Constructors

Constructor and Description
BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)

Method Summary

Modifier and Type	Method and Description
BeliefBase	repair(BeliefBase beliefBase) Repairs the given belief base, i.e.

Methods inherited from class java.lang.Object

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

Field Detail

PRECISIONCULP

public static final double PRECISIONCULP

The precision for comparing culpability values.

See Also:

Constant Field Values

PRECISIONOPT

public static final double PRECISIONOPT

The precision for comparing culpability values.

See Also:

Constant Field Values

culpabilityMeasure

private CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure

The culpability measure used by this machine shop.

Constructor Detail

BalancedMachineShop

public BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)

Method Detail

repair

public BeliefBase repair(BeliefBase beliefBase)

Description copied from interface: BeliefBaseMachineShop

Repairs the given belief base, i.e. restores consistency.

Specified by:

repair in interface BeliefBaseMachineShop

Parameters:

beliefBase - a possibly inconsistent belief base.

Returns:

a consistent belief base that is as close as possible to the given belief base. NOTE: if the given belief base is consistent this method is expected to return it unmodified.