net.sf.tweety.logics.pcl.analysis

Class ConvexAggregatingMaxConsMeMachineShop

java.lang.Object

net.sf.tweety.logics.pcl.analysis.ConvexAggregatingMaxConsMeMachineShop

All Implemented Interfaces:

BeliefBaseMachineShop

public class ConvexAggregatingMaxConsMeMachineShop
extends java.lang.Object
implements BeliefBaseMachineShop

This consistency restorer determines the new probabilities of conditionals by computing the ME-distribution of each maximal consistent subset of the knowledge base, then convex combining those yielding a distribution P, and extracting the new probabilities from P.

Author:

Matthias Thimm

Constructor Summary

Constructors

Constructor and Description
ConvexAggregatingMaxConsMeMachineShop()

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

Constructor Detail

ConvexAggregatingMaxConsMeMachineShop

public ConvexAggregatingMaxConsMeMachineShop()

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.