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dc.contributor.authorFan, Tuan-Fangen_US
dc.contributor.authorLiau, Churn-Jungen_US
dc.contributor.authorLiu, Duen-Renen_US
dc.date.accessioned2018-08-21T05:56:30Z-
dc.date.available2018-08-21T05:56:30Z-
dc.date.issued2009-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146266-
dc.description.abstractIn this paper, we propose a dominance-based rough set approach for the decision analysis of a preference-ordered uncertain data table, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express preference scales. In the proposed approach, we first compute the degree of dominance between any two objects based on their imprecise evaluations with respect to each criterion. This results in a fuzzy dominance relation on the universe. Then, we define the degree of adherence to the dominance principle by every pair of objects and the degree of consistency of each object. The consistency degrees of all objects are aggregated to derive the quality of the classification, with which we can define the reducts of an uncertain data table. In addition, the upward and downward unions of decision classes are fuzzy subsets of the universe. The lower and upper approximations of the decision classes based on the fuzzy dominance relation are thus fuzzy rough sets. By using the lower approximations of the decision classes, we can derive two types of decision rules that can be applied to new decision cases.en_US
dc.language.isoen_USen_US
dc.subjectDominance-based rough set approachen_US
dc.subjectmulti-criteria decision analysisen_US
dc.subjectpreference-ordered data tablesen_US
dc.subjectrough set theoryen_US
dc.subjectuncertain data tablesen_US
dc.titleDominance-based Rough Set Analysis of Uncertain Data Tablesen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCEen_US
dc.citation.spage294en_US
dc.citation.epage299en_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:000279170600052en_US
Appears in Collections:Conferences Paper