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Improved algorithm on rule-based reasoning systems modeled by fuzzy Petri nets
Date Issued
2002
ISSN
10987584
Citation
IEEE International Conference on Fuzzy Systems, 2002, Vol. 2, pp. 1204 - 1209
Type
Conference Paper
Abstract
In this paper, we propose a complete and efficient algorithm to perform the fuzzy inference of a rule-based system modeled by Fuzzy Petri Nets (FPN). The algorithm is developed to simulate the inference process from the starting propositions to the goal propositions. The structures of the FPN are in more generic forms, compared to those applied in previous papers. The formal description of models and the fuzzy reasoning algorithm are described in detail, with several illustration examples. The differences between other algorithms are also presented.
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