NDLI: The structure of rules for general-purpose fuzzy reasoning

Content Provider	IEEE Xplore Digital Library
Author	Siler, W. Buckley, J.J.
Copyright Year	1996
Description	Author affiliation: Kemp-Carraway Heart Inst., Birmingham, AL, USA (Siler, W.)
Abstract	The structure desirable for rules in rule-based systems for fuzzy reasoning, as distinct from fuzzy control, is elaborated. We point out that the formal structure of rules for fuzzy control, while adequate and economical for most fuzzy control applications, is both too complex and too restrictive for optimal use in fuzzy reasoning systems; in particular, the difficulty faced in handling fuzzy sets of categories in attempting to answer questions of the "what is it?" type when using fuzzy control rules is noted. Fuzzy reasoning rules should be able to employ discrete fuzzy sets of linguistic values, with members such as "Slow" and "Large", and also discrete fuzzy sets of categories, with members such as "Jeep" and "Quartz". The importance in multistep logic of considering prior data values is mentioned, together with a way of handling prior information based on monotonic fuzzy reasoning.
Starting Page	1637
Ending Page	1641
File Size	452110
Page Count	5
File Format	PDF
ISBN	0780336453
DOI	10.1109/FUZZY.1996.552615
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy reasoning Fuzzy control Fuzzy sets Hybrid intelligent systems Fuzzy systems Programming profession Heart Mathematics Knowledge based systems Logic
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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