MaInconsistencyMeasure

java.lang.Object
- org.tweetyproject.logics.commons.analysis.BeliefSetInconsistencyMeasure<S>
- - org.tweetyproject.logics.commons.analysis.MaInconsistencyMeasure<S>

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

- Field Summary
  - Fields inherited from interface org.tweetyproject.logics.commons.analysis.InconsistencyMeasure
    MEASURE_TOLERANCE
- Constructor Summary
  
  Constructors
  Constructor Description
  
  MaInconsistencyMeasure(MusEnumerator<S> enumerator)
  Creates a new inconsistency measure.
- 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.
  - Methods inherited from class org.tweetyproject.logics.commons.analysis.BeliefSetInconsistencyMeasure
    inconsistencyMeasure
  - Methods inherited from class java.lang.Object
    equals, 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.