CONSISTENCY CHECKING FOR FUZZY EXPERT-SYSTEMS
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AbstractInconsistency frequently exists in a rule-based expert system Detecting the existence of inconsistency in a fuzzy rule-based environment is difficult and may be different from that of traditional rule-based systems. An affinity measure, which is based on the similarity measure, is introduced to determine the likeness of two fuzzy terms. By using the affinity measure, the techniques for consistency checking in a non-fuzzy environment can be easily applied to a fuzzy environment. A consistency checker (CCFE) is implemented to detect possible inconsistency in a mixed fuzzy and non-fuzzy environment.
All Author(s) ListLEUNG KS, SO YT
Journal nameInternational Journal of Approximate Reasoning
Year1993
Month10
Day1
Volume Number9
Issue Number3
PublisherELSEVIER SCIENCE INC
Pages263 - 282
ISSN0888-613X
eISSN1873-4731
LanguagesEnglish-United Kingdom
KeywordsEXPERT SYSTEM; FUZZY THEORY; INCONSISTENCY; POSSIBILITY DISTRIBUTION
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Last updated on 2020-29-05 at 00:58