net.sf.tweety.logics.pl.util

Class MiSampler

java.lang.Object

net.sf.tweety.commons.BeliefSetSampler<PropositionalFormula,PlBeliefSet>

net.sf.tweety.logics.pl.util.MiSampler

All Implemented Interfaces:

java.util.Iterator<PlBeliefSet>, BeliefSetIterator<PropositionalFormula,PlBeliefSet>

public class MiSampler
extends BeliefSetSampler<PropositionalFormula,PlBeliefSet>

Generates random propositional belief base with a given inconsistency measure (for the MI inconsistency measure) and of a given size. NOTE: this sampler is quite simple and only generates MIs of size four and is very demanding on the size of the signature.

Author:

Matthias Thimm

Field Summary

Fields

Modifier and Type	Field and Description
private int	incvalue The inconsistency value of the generated belief sets (wrt.

Fields inherited from class net.sf.tweety.commons.BeliefSetSampler

DEFAULT_MAXIMUM_BELIEFBASE_LENGTH, DEFAULT_MINIMUM_BELIEFBASE_LENGTH

Constructor Summary

Constructors

Constructor and Description
MiSampler(PropositionalSignature signature, int incvalue) Creates a new sample for the given signature which generates propositional belief sets with the given inconsistency value (wrt.
MiSampler(PropositionalSignature signature, int incvalue, int minLength, int maxLength) Creates a new sample for the given signature which generates propositional belief sets with the given inconsistency value (wrt.

Method Summary

Modifier and Type	Method and Description
PlBeliefSet	next()

Methods inherited from class net.sf.tweety.commons.BeliefSetSampler

getMaxLength, getMinLength, getSignature, hasNext

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.Iterator

forEachRemaining, remove

Field Detail

incvalue

private int incvalue

The inconsistency value of the generated belief sets (wrt. the MI inconsistency measure).

Constructor Detail

MiSampler

public MiSampler(PropositionalSignature signature,
                 int incvalue)

Creates a new sample for the given signature which generates propositional belief sets with the given inconsistency value (wrt. the MI inconsistency measure)

Parameters:

signature - some propositional signature

incvalue - some inconsistency value.

MiSampler

public MiSampler(PropositionalSignature signature,
                 int incvalue,
                 int minLength,
                 int maxLength)

Creates a new sample for the given signature which generates propositional belief sets with the given inconsistency value (wrt. the MI inconsistency measure)

Parameters:

signature - some propositional signature

incvalue - some inconsistency value.

minLength - the minimum length of knowledge bases

maxLength - the maximum length of knowledge bases

Method Detail

next

public PlBeliefSet next()

Specified by:

next in interface java.util.Iterator<PlBeliefSet>

Specified by:

next in interface BeliefSetIterator<PropositionalFormula,PlBeliefSet>

Specified by:

next in class BeliefSetSampler<PropositionalFormula,PlBeliefSet>