Class ConvexAggregatingMaxConsMeMachineShop

java.lang.Object
org.tweetyproject.logics.pcl.analysis.ConvexAggregatingMaxConsMeMachineShop
All Implemented Interfaces:
BeliefBaseMachineShop

public class ConvexAggregatingMaxConsMeMachineShop extends 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 Details

    • ConvexAggregatingMaxConsMeMachineShop

      public ConvexAggregatingMaxConsMeMachineShop(OptimizationRootFinder rootFinder)
  • Method Details

    • 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.