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Issue title: Fundamentals of Knowledge Technology
Article type: Research Article
Authors: Chan, Chien-Chung | Tzeng, Gwo-Hshiung
Affiliations: Department of Computer Science, University of Akron Akron, OH, 44325-4003, USA and Department of Information Communications, Kainan University No. 1 Kainan Road, Luchu, Taoyuan County 338, Taiwan. E-mail: chan@uakron.edu | Department of Business and Entrepreneurial Administration, Kainan University No. 1 Kainan Road, Luchu, Taoyuan County 338, Taiwan and Institute of Management of Technology, National Chiao Tung University 1001 Ta-Hsueh Road, Hsinchu 300, Taiwan. E-mail: ghtzeng@mail.knu.edu.tw; ghtzeng@cc.nctu.edu.tw
Abstract: Dominance-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.
Keywords: Rough sets, Dominance-based rough sets, Multiple criteria decision analysis (MCDA), Classification, Sorting, Indexed blocks, Granular computing
DOI: 10.3233/FI-2009-122
Journal: Fundamenta Informaticae, vol. 94, no. 2, pp. 133-146, 2009
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