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 L
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.
|Title:||Measuring consistency gain and information loss in stepwise inconsistency resolution|
|UCL classification:||UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
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