Full metadata record
DC FieldValueLanguage
dc.contributor.authorFan, Tuan-Fangen_US
dc.contributor.authorLiu, Duen-Renen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:17:39Z-
dc.date.available2014-12-08T15:17:39Z-
dc.date.issued2006en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/12798-
dc.description.abstractIn this paper, we propose an arrow decision logic (ADL) for relational information systems (RIS). The logic combines the main features of decision logic (DL) and arrow logic (AL). DL represents and reasons about knowledge extracted from decision tables based on rough set theory, whereas AL is the basic modal logic of arrows. The semantic models of DL are functional information systems (FIS). ADL formulas, on the other hand, are interpreted in RIS. RIS, which not only specifies the properties of objects, but also the relationships between objects. We present a complete axiomatization of ADL and discuss its application to knowledge representation in multicriteria decision analysis.en_US
dc.language.isoen_USen_US
dc.subjectarrow logicen_US
dc.subjectdecision logicen_US
dc.subjectfunctional information systemsen_US
dc.subjectmulticriteria decision analysisen_US
dc.subjectrelational information systemsen_US
dc.subjectrough setsen_US
dc.titleArrow decision logic for relational information systemsen_US
dc.typeArticleen_US
dc.identifier.journalTRANSACTIONS ON ROUGH SETS Ven_US
dc.citation.volume4100en_US
dc.citation.spage240en_US
dc.citation.epage262en_US
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.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000242418100012-
dc.citation.woscount4-
Appears in Collections:Articles


Files in This Item:

  1. 000242418100012.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.