Title :
Representing fuzzy knowledge using extended fuzzy Petri nets
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
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;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366746
