Package net.sf.tweety.logics.pl.analysis

Class ContensionInconsistencyMeasure

  • All Implemented Interfaces:
    net.sf.tweety.commons.postulates.PostulateEvaluatable<PlFormula>, net.sf.tweety.logics.commons.analysis.InconsistencyMeasure<net.sf.tweety.commons.BeliefSet<PlFormula,​?>>
    public class ContensionInconsistencyMeasure
extends net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<PlFormula>
    This class implements the contension inconsistency measure, cf. [Grant, Hunter, 2011].
    This measure is defined on paraconsistent models (three-valued models with truth values F,T,B) of a knowledge base via taking the minimal number of B-valued propositions needed in a model of the knowledge base.
    The computation of the inconsistency value is done as follows. First, the knowledge base is transformed into CNF. If the knowledge base is consistent the inconsistency value is 0. Otherwise, for every proposition "p" we create a new knowledge base by removing all clauses where "p" appears (either positive or negative) and test the new knowledge base for consistency. This is equivalent to checking whether there is a paraconsistent model that sets the truth value of p to B. If one of these knowledge bases is consistent we return "1" as inconsistency value. Otherwise, the process is repeated with all pairs "p1,p2" of propositions, then triples, etc.
    Author:
    Matthias Thimm

    • Constructor Detail

      • ContensionInconsistencyMeasure

        public ContensionInconsistencyMeasure()

    • Method Detail

      • inconsistencyMeasure

        public Double inconsistencyMeasure​(Collection<PlFormula> formulas)
        Specified by:
        inconsistencyMeasure in class net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<PlFormula>