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Dominance-based rough set approach to knowledge discovery (ii): extensions and applications

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

While the first part was devoted to the presentation of a general perspective of Dominance-based Rough Set Approach (DRSA) in the context of multicriteria classification, choice, and ranking, this part presents fuzzy set extensions of DRSA, DRSA for decisions under risk, and DRSA for hierarchical decision making. The chapter ends with a section concerning an axiomatic characterization of three preference models inferred from preference ordered data: general utility function, outranking relation, and a set of decision rules resulting from DRSA. It appears that the decision rule model is the most general among the known preference models.
Original languageEnglish
Title of host publicationIntelligent technologies for information analysis. Vol. 4
EditorsN. Zhong, J. Liu
Place of PublicationBerlin
PublisherSpringer
Pages553-612
Number of pages60
ISBN (Print)9783642073786
DOIs
Publication statusPublished - 2004

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