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IJAR
2011

Measuring and repairing inconsistency in probabilistic knowledge bases

12 years 7 months ago
Measuring and repairing inconsistency in probabilistic knowledge bases
In this paper we present a family of measures aimed at determining the amount of inconsistency in probabilistic knowledge bases. Our approach to measuring inconsistency is graded in the sense that we consider minimal adjustments in the degrees of uncertainty (i.e., probabilities in this paper) of the statements necessary to make the knowledge base consistent. The computation of the family of measures we present here, in as much as it yields an adjustment in the probability of each statement that restores consistency, provides the modeler with possible repairs of the knowledge base. The case example that motivates our work and on which we test our approach is the knowledge base of CADIAG-2, a well known medical expert system.
David Picado-Muiño
Added 29 Aug 2011
Updated 29 Aug 2011
Type Journal
Year 2011
Where IJAR
Authors David Picado-Muiño
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