A possibilistic-logic-based approach to integrating imprecise and uncertain information

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/32290

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32290

Title:	A possibilistic-logic-based approach to integrating imprecise and uncertain information
Authors:	Lee,J;Liu,KFR;Chiang,WL
Contributors:	資訊工程研究所
Keywords:	EXPERT-SYSTEMS;INFERENCE;APPROXIMATE
Date:	2000
Issue Date:	2010-07-06 18:23:18 (UTC+8)
Publisher:	中央大學
Abstract:	A reasoning mechanism capable of dealing with imprecise and uncertain information is essential for expert systems. In this paper, we propose the use of truth-qualified fuzzy propositions as the representation of imprecise and uncertain information, where
Relation:	FUZZY SETS AND SYSTEMS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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