DocumentCode
1957395
Title
Chaining in fuzzy rule-based systems
Author
Hall, Lawrence O.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
906
Abstract
A fuzzy expert system must do rule chaining differently than a non-fuzzy expert system. In particular, all rules that can fire with a particular linguistic variable in their consequent must fire before any rule whose antecedent conditions depend upon the resultant fuzzy set value 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 Pan-DeSouza-Kak (1998) points out that 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. In this paper, we show how FuzzyCLIPS can be made to have the required property. Further, a potential pitfall with the FuzzyShell approach to dealing with chaining is pointed out
Keywords
expert system shells; fuzzy set theory; fuzzy systems; inference mechanisms; FuzzyCLIPS; FuzzyShell; expert system shell; fuzzy expert system; fuzzy linguistic variable; fuzzy rule-based systems; fuzzy set theory; inference engine; rule chaining; Bicycles; Computer science; Decision support systems; Expert systems; Fires; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Knowledge based systems; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.839152
Filename
839152
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