完整後設資料紀錄
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dc.contributor.authorFan, TFen_US
dc.contributor.authorLiu, DRen_US
dc.contributor.authorTzeng, GHen_US
dc.date.accessioned2014-12-08T15:36:36Z-
dc.date.available2014-12-08T15:36:36Z-
dc.date.issued2005en_US
dc.identifier.isbn3-540-28653-5en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/24945-
dc.description.abstractIn this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ADL are pairwise comparison tables, which are useful in rough set-based multicriteria analysis. Consequently, ADL can represent preference knowledge induced from multicriteria decision tables.en_US
dc.language.isoen_USen_US
dc.subjectarrow logicen_US
dc.subjectdecision logicen_US
dc.subjectmulticriteria decision analysisen_US
dc.subjectrough setsen_US
dc.titleArrow decision logicen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.journalROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PRT 1, PROCEEDINGSen_US
dc.citation.volume3641en_US
dc.citation.spage651en_US
dc.citation.epage659en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000232188600067-
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