Class MaInconsistencyMeasure<S extends Formula>

  • Type Parameters:
    S - the type of formulas
    All Implemented Interfaces:
    PostulateEvaluatable<S>, InconsistencyMeasure<BeliefSet<S,​?>>

    public class MaInconsistencyMeasure<S extends Formula>
    extends BeliefSetInconsistencyMeasure<S>
    This class models the I_M inconsistency measure from e.g. [Grant,Hunter,2011a]. It takes as inconsistency value the number of maximal consistent subsets plus the number of formulas that are self-contradicting minus 1.
    Author:
    Matthias Thimm
    • Method Summary

      Modifier and Type Method Description
      java.lang.Double inconsistencyMeasure​(java.util.Collection<S> formulas)
      This method measures the inconsistency of the given set of formulas.
      private double numMaxConsistentFormulas​(java.util.Collection<java.util.Collection<S>> muses)
      Computes the number of maximal consistent subsets by computing minimal hitting sets from minimal inconsistent sets.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • MaInconsistencyMeasure

        public MaInconsistencyMeasure​(MusEnumerator<S> enumerator)
        Creates a new inconsistency measure.
        Parameters:
        enumerator - some MUs enumerator
    • Method Detail

      • inconsistencyMeasure

        public java.lang.Double inconsistencyMeasure​(java.util.Collection<S> formulas)
        Description copied from class: BeliefSetInconsistencyMeasure
        This method measures the inconsistency of the given set of formulas.
        Specified by:
        inconsistencyMeasure in class BeliefSetInconsistencyMeasure<S extends Formula>
        Parameters:
        formulas - a collection of formulas.
        Returns:
        a Double indicating the degree of inconsistency.
      • numMaxConsistentFormulas

        private double numMaxConsistentFormulas​(java.util.Collection<java.util.Collection<S>> muses)
        Computes the number of maximal consistent subsets by computing minimal hitting sets from minimal inconsistent sets.
        Parameters:
        muses - the set of minimal consistent subsets
        Returns:
        the number of maximal consistent subsets