NEW METHODOLOGY TO FUZZY-REASONING FOR RULE-BASED EXPERT-SYSTEMS

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	CHEN, SM	en_US
dc.date.accessioned	2014-12-08T15:03:30Z	-
dc.date.available	2014-12-08T15:03:30Z	-
dc.date.issued	1995-03-01	en_US
dc.identifier.issn	0196-9722	en_US
dc.identifier.uri	http://hdl.handle.net/11536/2023	-
dc.description.abstract	Much knowledge residing in the knowledge base of an expert system involves fuzzy concepts. A powerful expert system must have the capability of fuzzy reasoning. This paper presents a new methodology for dealing with fuzzy reasoning based on the matching function S. The single-input, single output (SISO) fuzzy reasoning scheme and the multi-input, single-output (MISC) fuzzy reasoning schemes are discussed in detail. The proposed fuzzy reasoning methodology is conceptually clearer than the compositional rule of inference approach. It can provide an useful way for rule-based systems to deal with fuzzy reasoning.	en_US
dc.language.iso	en_US	en_US
dc.title	NEW METHODOLOGY TO FUZZY-REASONING FOR RULE-BASED EXPERT-SYSTEMS	en_US
dc.type	Article	en_US
dc.identifier.journal	CYBERNETICS AND SYSTEMS	en_US
dc.citation.volume	26	en_US
dc.citation.issue	2	en_US
dc.citation.spage	237	en_US
dc.citation.epage	263	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:A1995QT95600007	-
dc.citation.woscount	16	-
顯示於類別：	期刊論文