FUZZY INFORMATION-PROCESSING FOR EXPERT-SYSTEMS
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
- Appears in Collection
- BiS-Journal Papers(저널논문)
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