Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-22152-1_31 | ECSQARU |
Keywords | Field | DocType |
various measure,inconsistency resolution step,information loss,undesirable feature,splitting operation,existing proposal,new proposal,consistency gain,stepwise inconsistency resolution | Data mining,Pairwise comparison,Inconsistency resolution,Information loss,Computer science,Conjunctive normal form,Implicant,Information measure | Conference |
Citations | PageRank | References |
11 | 0.62 | 21 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
John Grant | 1 | 102 | 5.89 |
Anthony Hunter | 2 | 3196 | 204.65 |