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Measuring consistency gain and information loss in stepwise inconsistency resolution

Grant, J; Hunter, A; (2011) Measuring consistency gain and information loss in stepwise inconsistency resolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 6717 LNAI 362 - 373. 10.1007/978-3-642-22152-1_31.

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Abstract

Inconsistency is a usually undesirable feature of many kinds of data and knowledge. But altering the information in order to make it less inconsistent may result in the loss of information. In this paper we analyze this trade-off. We review some existing proposals and make new proposals for measures of inconsistency and information. We prove that in both cases the various measures are all pairwise incompatible. Then we introduce the concept of stepwise inconsistency resolution and show what happens in case an inconsistency resolution step applies a deletion, a weakening, or a splitting operation. © 2011 Springer-Verlag Berlin Heidelberg.

Type:Article
Title:Measuring consistency gain and information loss in stepwise inconsistency resolution
DOI:10.1007/978-3-642-22152-1_31
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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