Rough set-based logics for multicriteria decision analysis |
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| Authors: | Tuan-Fang Fan Duen-Ren Liu Gwo-Hshiung Tzeng |
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| Institution: | 1. Institute of Information Management, National Chiao-Tung University, Hsinchu 300, Taiwan;2. Department of Computer Science and Information Engineering, National Penghu University, Penghu 880, Taiwan;3. Graduate Institute of Management of Technology, National Chiao Tung University, Hsinchu 300, Taiwan;4. Kainan University, Taoyuan 338, Taiwan |
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| Abstract: | In this paper, we propose some decision logic languages for rule representation in rough set-based multicriteria analysis. The semantic models of these logics are data tables, each of which is comprised of a finite set of objects described by a finite set of criteria/attributes. The domains of the criteria may have ordinal properties expressing preference scales, while the domains of the attributes may not. The validity, support, and confidence of a rule are defined via its satisfaction in the data table. |
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| Keywords: | Rough sets Fuzzy sets Decision logic Multicriteria decision analysis Artificial intelligence |
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