net.sf.tweety.logics.pl.util

Class MiSampler

java.lang.Object

net.sf.tweety.commons.BeliefBaseSampler<PlBeliefSet>

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

public class MiSampler
extends net.sf.tweety.commons.BeliefBaseSampler<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 inherited from class net.sf.tweety.commons.BeliefBaseSampler

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.

Method Summary

Modifier and Type	Method and Description
PlBeliefSet	randomSample(int minLength, int maxLength)

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

getSignature, randomSample, randomSample

Methods inherited from class java.lang.Object

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

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.

Method Detail

randomSample

public PlBeliefSet randomSample(int minLength,
                                int maxLength)

Specified by:

randomSample in class net.sf.tweety.commons.BeliefBaseSampler<PlBeliefSet>