PAInconsistencyMeasure

java.lang.Object
- net.sf.tweety.arg.prob.analysis.PAInconsistencyMeasure

All Implemented Interfaces:

InconsistencyMeasure<PartialProbabilityAssignment>
```
public class PAInconsistencyMeasure
extends java.lang.Object
implements InconsistencyMeasure<PartialProbabilityAssignment>
```
This inconsistency measure measures the distance between a given partial probability assignment to the set of rational/justifiable probabilistic extensions of a given Dung theory.

Author:

Matthias Thimm

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

Constructor Summary

Constructors
Constructor	Description
`PAInconsistencyMeasure(RealVectorNorm norm, DungTheory theory, PASemantics semantics)`	Creates a new inconsinstency measure which uses the given norm and measures wrt.

Method Summary

Modifier and Type Method Description

java.lang.Double inconsistencyMeasure(PartialProbabilityAssignment ppa)
This method measures the inconsistency of the given belief base.
- Methods inherited from class java.lang.Object
  equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - PAInconsistencyMeasure
```
public PAInconsistencyMeasure(RealVectorNorm norm,
                              DungTheory theory,
                              PASemantics semantics)
```
    Creates a new inconsinstency measure which uses the given norm and measures wrt. the given theory.
    
    Parameters:
    
    norm - a norm
    
    theory - a Dung theory
    
    semantics - the semantics against which the inconsistency of partial probability assignments are measured.
- Method Detail
  - inconsistencyMeasure
```
public java.lang.Double inconsistencyMeasure(PartialProbabilityAssignment ppa)
```
    Description copied from interface: InconsistencyMeasure
    
    This method measures the inconsistency of the given belief base.
    
    Specified by:
    
    inconsistencyMeasure in interface InconsistencyMeasure<PartialProbabilityAssignment>
    
    Parameters:
    
    ppa - a belief base.
    
    Returns:
    
    a Double indicating the degree of inconsistency.