NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure

java.lang.Object
- net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>
- - net.sf.tweety.logics.pcl.analysis.UpperApproxDistanceMinimizationInconsistencyMeasure
  - - net.sf.tweety.logics.pcl.analysis.NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure

All Implemented Interfaces:

PostulateEvaluatable<ProbabilisticConditional>, InconsistencyMeasure<BeliefSet<ProbabilisticConditional,?>>
```
public class NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure
extends UpperApproxDistanceMinimizationInconsistencyMeasure
```
This class models a normalized approximation from above to the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], see [PhD thesis, Thimm].

Author:

Matthias Thimm

Field Summary
- Fields inherited from interface net.sf.tweety.logics.commons.analysis.InconsistencyMeasure
  MEASURE_TOLERANCE

Constructor Summary

Constructors
Constructor Description

NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure()

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.commons.analysis.BeliefSetInconsistencyMeasure
inconsistencyMeasure

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure
```
public NormalizedUpperApproxDistanceMinimizationInconsistencyMeasure()
```
- Method Detail
  - 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 class UpperApproxDistanceMinimizationInconsistencyMeasure
    
    Parameters:
    
    formulas - a collection of formulas.
    
    Returns:
    
    a Double indicating the degree of inconsistency.