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dc.contributor.authorChan, Chien-Chungen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:10:10Z-
dc.date.available2014-12-08T15:10:10Z-
dc.date.issued2009en_US
dc.identifier.issn0169-2968en_US
dc.identifier.urihttp://hdl.handle.net/11536/7760-
dc.identifier.urihttp://dx.doi.org/10.3233/FI-2009-122en_US
dc.description.abstractDominance-based rough set introduced by Greco et al. is an extension of Pawlak's classical rough set theory by using dominance relations in place of equivalence relations for approximating sets of preference ordered decision classes satisfying upward and downward union properties. This paper introduces the concept of indexed blocks for representing dominance-based approximation spaces. Indexed blocks are sets of objects indexed by pairs of decision values. In our study, inconsistent information is represented by exclusive neighborhoods of indexed blocks. They are used to define approximations of decision classes. It turns out that a set of indexed blocks with exclusive neighborhoods forms a partition on the universe of objects. Sequential rules for updating indexed blocks incrementally are considered and illustrated with examples.en_US
dc.language.isoen_USen_US
dc.subjectRough setsen_US
dc.subjectDominance-based rough setsen_US
dc.subjectMultiple criteria decision analysis (MCDA)en_US
dc.subjectClassificationen_US
dc.subjectSortingen_US
dc.subjectIndexed blocksen_US
dc.subjectGranular computingen_US
dc.titleDominance-Based Rough Sets Using Indexed Blocks as Granulesen_US
dc.typeArticleen_US
dc.identifier.doi10.3233/FI-2009-122en_US
dc.identifier.journalFUNDAMENTA INFORMATICAEen_US
dc.citation.volume94en_US
dc.citation.issue2en_US
dc.citation.spage133en_US
dc.citation.epage146en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000270175400003-
dc.citation.woscount3-
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