Representing fuzzy knowledge using extended fuzzy Petri nets
S.-M. Chen · 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis · 2002
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.>