Uses of Class
org.tweetyproject.logics.commons.analysis.BeliefSetInconsistencyMeasure
Packages that use BeliefSetInconsistencyMeasure
Package
Description
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Uses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.commons.analysis
Subclasses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.commons.analysisModifier and TypeClassDescriptionclassCcInconsistencyMeasure<S extends Formula>This class implements the inconsistency measure I_CC from [Said Jabbour and Yue Ma and Badran Raddaoui.classCspInconsistencyMeasure<S extends Formula>This class implements the inconsistency measure I_CSP from [Said Jabbour, Yue Ma, Badran Raddaoui, Lakhdar Sais, Yakoub Salhi.classDfInconsistencyMeasure<S extends Formula>This class implements the family of "Measures of the Degree of Inconsistency" from [Mu,Liu,Jin, Bell.classDHitInconsistencyMeasure<T extends Interpretation<B,S>, B extends BeliefBase, S extends Formula> This class implements the d-hit inconsistency measure from [Grant, Hunter.classDMaxInconsistencyMeasure<T extends Interpretation<B,S>, B extends BeliefBase, S extends Formula> This class implements the d-max inconsistency measure from [Grant, Hunter.classDrasticInconsistencyMeasure<S extends Formula>This class models the drastic inconsistency measure.classDSumInconsistencyMeasure<T extends Interpretation<B,S>, B extends BeliefBase, S extends Formula> This class implements the d-sum inconsistency measure from [Grant, Hunter.classEtaInconsistencyMeasure<B extends BeliefBase,S extends Formula> This class implements the Eta-inconsistency measure, cf.classHsInconsistencyMeasure<B extends BeliefBase,S extends Formula> This class implements the Hitting Set inconsistency measure as proposed in [Thimm, 2014, in preparation].classIsInconsistencyMeasure<S extends Formula>This class implements the inconsistency measure I_CSP from [Said Jabbour.classMaInconsistencyMeasure<S extends Formula>This class models the I_M inconsistency measure from e.g.classMcscInconsistencyMeasure<S extends Formula>This class implements the approach of [Meriem Ammoura, Badran Raddaoui, Yakoub Salhi, Brahim Oukacha.classMicInconsistencyMeasure<S extends Formula>This class models the MI^C inconsistency measure.classMiInconsistencyMeasure<S extends Formula>This class models the MI inconsistency measure.classNConsInconsistencyMeasure<S extends Formula>This class implements an inconsistency measure based on "n-consistency" proposed in [Doder,Raskovic,Markovic,Ognjanovic.classNormalizedMicInconsistencyMeasure<S extends Formula>This class models the normalized MI^C inconsistency measure, see [PhD thesis, Thimm].classNormalizedMiInconsistencyMeasure<S extends Formula>This class models the normalized MI inconsistency measure, see [PhD thesis, Thimm].classPrInconsistencyMeasure<S extends Formula>This class models the P inconsistency measure from e.g.Methods in org.tweetyproject.logics.commons.analysis with parameters of type BeliefSetInconsistencyMeasureModifier and TypeMethodDescriptionvoidInconsistencyMeasureEvaluator.addInconsistencyMeasure(BeliefSetInconsistencyMeasure<T> i) Adds the given inconsistency measure.Constructors in org.tweetyproject.logics.commons.analysis with parameters of type BeliefSetInconsistencyMeasureModifierConstructorDescriptionInconsistencyMeasureEvaluator(Collection<U> dataset, BeliefSetInconsistencyMeasure<T> i) Create a new InconsistencyMeasureEvaluator with the given dataset and the given inconsistency measure.Create a new InconsistencyMeasureEvaluator with the given inconsistency measure.ShapleyCulpabilityMeasure(BeliefSetInconsistencyMeasure<S> inconsistencyMeasure) Creates a new Shapley culpability measure that bases on the given inconsistency measure.Constructor parameters in org.tweetyproject.logics.commons.analysis with type arguments of type BeliefSetInconsistencyMeasureModifierConstructorDescriptionCreate a new InconsistencyMeasureEvaluator with the given inconsistency measures. -
Uses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.commons.analysis.streams
Modifier and TypeClassDescriptionclassDefaultStreamBasedInconsistencyMeasure<S extends Formula>Implements a stream-based inconsistency measure on a given class of inconsistency measurement processes.classStreamBasedInconsistencyMeasure<S extends Formula>General interface for inconsistency measures working on streams. -
Uses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.pcl.analysis
Subclasses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.pcl.analysisModifier and TypeClassDescriptionclassThis class models the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], extended by the use of different p-norms.classThis class models an approximation from below to the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], see [PhD thesis, Thimm].classThis class models the minimal violation inconsistency measure for the 2-norm.classThis class provides a general implementation for the minimal violation inconsistency measure, cf.classThis class models the normalized distance minimization inconsistency measure, see [PhD thesis, Thimm].classThis class models a normalized approximation from below to the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], see [PhD thesis, Thimm].classThis class models a normalized approximation from above to the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], see [PhD thesis, Thimm].classThis class models an approximation from above to the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], see [PhD thesis, Thimm]. -
Uses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.pl.analysis
Subclasses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.pl.analysisModifier and TypeClassDescriptionclassThis class implements the contension inconsistency measure, cf.classThis class implements a SAT encoding of the contension inconsistency measure, originally proposed in [Grant, Hunter.classThis class presents a sat-encoding-based implementation of the hit-distance measure of [Grant and Hunter, “Analysing inconsistent information using distance-based measures” Int.classThis class presents a sat-encoding-based implementation of the max-distance measure of [Grant and Hunter, “Analysing inconsistent information using distance-based measures” Int.classThis class presents a sat-encoding-based implementation of the sum-distance measure of [Grant and Hunter, “Analysing incThis measure seeks an interpretation I such that the the sum of the distances between every formula of the knowledge base and I is minimal.classImplements the forgetting-based inconsistency measure from [Besnard.classThis measure implements the approach presented in [Thimm, Measuring Inconsistency with Many-Valued Logics.classThis class implements a SAT encoding of the hitting set inconsistency measure, originally proposed in [Thimm.classThis class implements the inconsistency measures proposed in [De Bona, Hunter.classThis class implements the "MUS-variable based inconsistency measure" proposed in [Xiao,Ma.classThis class implements the inconsistency measure I_{P_m} proposed in [Jabbour, Raddaoui.classA common base class for inconsistency measure implementations based on SAT encodings. -
Uses of BeliefSetInconsistencyMeasure in org.tweetyproject.logics.pl.postulates
Methods in org.tweetyproject.logics.pl.postulates with parameters of type BeliefSetInconsistencyMeasureModifier and TypeMethodDescriptionbooleanImAdjunctionInvariance.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImAttenuation.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImConsistency.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImContradiction.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImDominance.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImEqualConflict.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImExchange.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImFreeFormulaDilution.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImFreeFormulaIndependence.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImIrrelevanceOfSyntax.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImMINormalization.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImMISeparability.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImMonotony.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImNormalization.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImPenalty.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) abstract booleanImPostulate.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImSafeFormulaIndependence.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImSuperAdditivity.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev) booleanImWeakDominance.isSatisfied(Collection<PlFormula> kb, BeliefSetInconsistencyMeasure<PlFormula> ev)