net.sf.tweety.logics.commons.analysis

Interface InconsistencyMeasure<T extends BeliefBase>

Type Parameters:

T - The type of belief bases this measure supports.

All Known Implementing Classes:

BeliefSetInconsistencyMeasure, CcInconsistencyMeasure, ContensionInconsistencyMeasure, CspInconsistencyMeasure, DefaultStreamBasedInconsistencyMeasure, DfInconsistencyMeasure, DHitInconsistencyMeasure, DistanceMinimizationInconsistencyMeasure, DMaxInconsistencyMeasure, DrasticInconsistencyMeasure, DSumInconsistencyMeasure, EtaInconsistencyMeasure, FbInconsistencyMeasure, FuzzyInconsistencyMeasure, HsInconsistencyMeasure, IsInconsistencyMeasure, LowerApproxDistanceMinimizationInconsistencyMeasure, MaInconsistencyMeasure, McscInconsistencyMeasure, MicInconsistencyMeasure, MiInconsistencyMeasure, MinimalViolation2InconsistencyMeasure, MinimalViolationInconsistencyMeasure, MusVarInconsistencyMeasure, NConsInconsistencyMeasure, NormalizedDistanceMinimizationInconsistencyMeasure, NormalizedLowerApproxDistanceMinimizationInconsistencyMeasure, NormalizedMicInconsistencyMeasure, NormalizedMiInconsistencyMeasure, NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure, PAInconsistencyMeasure, PmInconsistencyMeasure, PmInconsistencyMeasure, PrInconsistencyMeasure, SdInconsistencyMeasure, StreamBasedInconsistencyMeasure, UpperApproxDistanceMinimizationInconsistencyMeasure

public interface InconsistencyMeasure<T extends BeliefBase>

Classes implementing this interface represent inconsistency measures on belief bases.

Author:

Matthias Thimm

Field Summary

Fields

Modifier and Type	Field and Description
static double	MEASURE_TOLERANCE Tolerance.

Method Summary

Modifier and Type	Method and Description
java.lang.Double	inconsistencyMeasure(T beliefBase) This method measures the inconsistency of the given belief base.

Field Detail

MEASURE_TOLERANCE

static final double MEASURE_TOLERANCE

Tolerance.

See Also:

Constant Field Values

Method Detail

inconsistencyMeasure

java.lang.Double inconsistencyMeasure(T beliefBase)

This method measures the inconsistency of the given belief base.

Parameters:

beliefBase - a belief base.

Returns:

a Double indicating the degree of inconsistency.