PclBeliefSetQuadraticErrorMinimizationMachineShop

java.lang.Object
- net.sf.tweety.logics.pcl.analysis.PclBeliefSetQuadraticErrorMinimizationMachineShop

All Implemented Interfaces:

BeliefBaseMachineShop
```
public class PclBeliefSetQuadraticErrorMinimizationMachineShop
extends java.lang.Object
implements BeliefBaseMachineShop
```
This class is capable of restoring consistency of a possible inconsistent probabilistic conditional belief set. Restoring consistency is performed by minimizing the quadratic distance to the original belief set using some culpability measure, see [Diss, Thimm] for details.

Author:

Matthias Thimm

Constructor Summary

Constructors
Constructor	Description
`PclBeliefSetQuadraticErrorMinimizationMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure, OptimizationRootFinder rootFinder)`	Creates a new machine shop based on the given culpability measure.

Method Summary

Modifier and Type Method Description

BeliefBase repair(BeliefBase beliefBase)
Repairs the given belief base, i.e.
- Methods inherited from class java.lang.Object
  equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - PclBeliefSetQuadraticErrorMinimizationMachineShop
```
public PclBeliefSetQuadraticErrorMinimizationMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure,
                                                         OptimizationRootFinder rootFinder)
```
    Creates a new machine shop based on the given culpability measure.
    
    Parameters:
    
    culpabilityMeasure - a culpability measure.
    
    rootFinder - a root finder
- Method Detail
  - repair
```
public BeliefBase repair(BeliefBase beliefBase)
```
    Description copied from interface: BeliefBaseMachineShop
    
    Repairs the given belief base, i.e. restores consistency.
    
    Specified by:
    
    repair in interface BeliefBaseMachineShop
    
    Parameters:
    
    beliefBase - a possibly inconsistent belief base.
    
    Returns:
    
    a consistent belief base that is as close as possible to the given belief base. NOTE: if the given belief base is consistent this method is expected to return it unmodified.