DocumentCode
1554149
Title
Rule chaining in fuzzy expert systems
Author
Hall, Lawrence O.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Volume
9
Issue
6
fYear
2001
fDate
12/1/2001 12:00:00 AM
Firstpage
822
Lastpage
828
Abstract
A fuzzy expert system must do rule chaining differently than a nonfuzzy expert system. In particular, any rule that can fire with a particular linguistic variable in its consequent must fire before any rule whose antecedent conditions depend upon the resultant fuzzy set value of the consequent linguistic variable is allowed to fire. The dependent rules would be considered in a chain with the fuzzy rules which generate or assert the needed fuzzy linguistic variable. A recent paper by J. Pan et al. (1998) points out that a version of the FuzzyCLIPS expert system shell does not operate with chained fuzzy rules as one would expect. They introduce FuzzyShell which is described as the only known shell to have the expected fuzzy rule chaining performance. We show several approaches to obtaining the desired behavior in FuzzyCLIPS. Further, a potential pitfall with the FuzzyShell approach to dealing with chaining is pointed out
Keywords
computational linguistics; decision support systems; expert system shells; fuzzy set theory; FuzzyCLIPS expert system shell; antecedent conditions; chained fuzzy rules; decision making; dependent rules; fuzzy expert systems; fuzzy rule chaining performance; fuzzy set value; linguistic variable; rule chaining; Decision making; Expert systems; Fires; Firing; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Robustness; Temperature;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/91.971731
Filename
971731
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