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
Link To Document :
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