Arrow decision logic

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DC Field	Value	Language
dc.contributor.author	Fan, TF	en_US
dc.contributor.author	Liu, DR	en_US
dc.contributor.author	Tzeng, GH	en_US
dc.date.accessioned	2014-12-08T15:36:36Z	-
dc.date.available	2014-12-08T15:36:36Z	-
dc.date.issued	2005	en_US
dc.identifier.isbn	3-540-28653-5	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/11536/24945	-
dc.description.abstract	In 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.iso	en_US	en_US
dc.subject	arrow logic	en_US
dc.subject	decision logic	en_US
dc.subject	multicriteria decision analysis	en_US
dc.subject	rough sets	en_US
dc.title	Arrow decision logic	en_US
dc.type	Article; Proceedings Paper	en_US
dc.identifier.journal	ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PRT 1, PROCEEDINGS	en_US
dc.citation.volume	3641	en_US
dc.citation.spage	651	en_US
dc.citation.epage	659	en_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.department	Institute of Management of Technology	en_US
dc.contributor.department	Department of Information Management and Finance	en_US
dc.identifier.wosnumber	WOS:000232188600067	-
Appears in Collections:	Conferences Paper