Class NormalizedDistanceMinimizationInconsistencyMeasure
- java.lang.Object
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- net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>
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- net.sf.tweety.logics.pcl.analysis.DistanceMinimizationInconsistencyMeasure
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- net.sf.tweety.logics.pcl.analysis.NormalizedDistanceMinimizationInconsistencyMeasure
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- All Implemented Interfaces:
PostulateEvaluatable<ProbabilisticConditional>
,InconsistencyMeasure<BeliefSet<ProbabilisticConditional,?>>
public class NormalizedDistanceMinimizationInconsistencyMeasure extends DistanceMinimizationInconsistencyMeasure
This class models the normalized distance minimization inconsistency measure, see [PhD thesis, Thimm].- Author:
- Matthias Thimm
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Field Summary
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Fields inherited from interface net.sf.tweety.logics.commons.analysis.InconsistencyMeasure
MEASURE_TOLERANCE
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Constructor Summary
Constructors Constructor Description NormalizedDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder)
NormalizedDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder, int p)
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Method Summary
Modifier and Type Method Description java.lang.Double
inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas)
This method measures the inconsistency of the given set of formulas.-
Methods inherited from class net.sf.tweety.logics.pcl.analysis.DistanceMinimizationInconsistencyMeasure
getDeviation
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Methods inherited from class net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure
inconsistencyMeasure
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Constructor Detail
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NormalizedDistanceMinimizationInconsistencyMeasure
public NormalizedDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder)
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NormalizedDistanceMinimizationInconsistencyMeasure
public NormalizedDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder, int p)
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Method Detail
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inconsistencyMeasure
public java.lang.Double inconsistencyMeasure(java.util.Collection<ProbabilisticConditional> formulas)
Description copied from class:BeliefSetInconsistencyMeasure
This method measures the inconsistency of the given set of formulas.- Overrides:
inconsistencyMeasure
in classDistanceMinimizationInconsistencyMeasure
- Parameters:
formulas
- a collection of formulas.- Returns:
- a Double indicating the degree of inconsistency.
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