net.sf.tweety.logics.pcl.analysis

Class ConvexAggregatingMaxConsMeMachineShop

java.lang.Object

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

All Implemented Interfaces:

net.sf.tweety.commons.BeliefBaseMachineShop

public class ConvexAggregatingMaxConsMeMachineShop
extends Object
implements net.sf.tweety.commons.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
net.sf.tweety.commons.BeliefBase	repair(net.sf.tweety.commons.BeliefBase beliefBase)

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 net.sf.tweety.commons.BeliefBase repair(net.sf.tweety.commons.BeliefBase beliefBase)

Specified by:

repair in interface net.sf.tweety.commons.BeliefBaseMachineShop