DocumentCode
2364487
Title
Representing fuzzy knowledge using extended fuzzy Petri nets
Author
Chen, Shyi-Ming
Author_Institution
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
1993
fDate
25-28 Apr 1993
Firstpage
339
Lastpage
346
Abstract
The authors presents a knowledge representation technique for representing fuzzy knowledge using extended fuzzy Petri nets. Here the uncertainty factors of the fuzzy production rules in a rule-based system and the truth values in a rule-based system and the truth values of the propositions appearing in the rules are represented by fuzzy numbers. The fuzzy reasoning process presented by S. M. Chen (1992) also can be modeled by the extended fuzzy Petri nets. An example is used to illustrate the fuzzy reasoning process using extended fuzzy Petri nets
Keywords
Petri nets; fuzzy set theory; knowledge representation; extended fuzzy Petri nets; fuzzy knowledge; fuzzy production rules; fuzzy reasoning process; knowledge representation technique; rule-based system; uncertainty factors; Artificial intelligence; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information science; Knowledge based systems; Knowledge representation; Petri nets; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location
College Park, MD
Print_ISBN
0-8186-3850-8
Type
conf
DOI
10.1109/ISUMA.1993.366746
Filename
366746
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