BalancedMachineShop

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

All Implemented Interfaces:

BeliefBaseMachineShop
```
public class BalancedMachineShop
extends java.lang.Object
implements BeliefBaseMachineShop
```
This class implements a consistency restorer using balanced distance minimization, see [Diss, Thimm] for details.

Author:

Matthias Thimm

Field Summary

Fields
Modifier and Type	Field	Description
`static double`	`PRECISIONCULP`	The precision for comparing culpability values.
`static double`	`PRECISIONOPT`	The precision for comparing culpability values.

Constructor Summary

Constructors
Constructor	Description
`BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)`
`BalancedMachineShop(OptimizationRootFinder rootFinder)`

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

- Field Detail
  - PRECISIONCULP
```
public static final double PRECISIONCULP
```
    The precision for comparing culpability values.
    
    See Also:
    
    Constant Field Values
  - PRECISIONOPT
```
public static final double PRECISIONOPT
```
    The precision for comparing culpability values.
    
    See Also:
    
    Constant Field Values
- Constructor Detail
  - BalancedMachineShop
```
public BalancedMachineShop(OptimizationRootFinder rootFinder)
```
  - BalancedMachineShop
```
public BalancedMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)
```
- 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.