FUZZY INFORMATION-PROCESSING FOR EXPERT-SYSTEMS

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This paper investigates the problems incurred when fuzzy values and certainty factors are used in rule-based knowledge representation. It proposes several measures for evaluating the satisfaction degree of fuzzy matching, fuzzy comparison and interval inclusion occurring in the course of inference for such knowledge representation. It introduces an inference method for such knowledge representation. In addition, it suggests a strategy for flexibly using and managing both conventional rules and fuzzy production rules in rule-based systems. Finally a fuzzy expert system shell, called FOPSS, designed to accommodate fuzzy information processing, is presented in consideration of the proposed methods.
Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
Issue Date
1995-03
Language
English
Article Type
Article
Keywords

LOGIC

Citation

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, v.3, no.1, pp.93 - 109

ISSN
0218-4885
URI
http://hdl.handle.net/10203/76352
Appears in Collection
BiS-Journal Papers(저널논문)
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