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Content Provider | IEEE Xplore Digital Library |
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Author | Rong Yang Wing Shan Leung Pheng Ann Heng Kwong Sak Leung |
Copyright Year | 2002 |
Description | Author affiliation: Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China (Rong Yang; Wing Shan Leung; Pheng Ann Heng; Kwong Sak Leung) |
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. |
Sponsorship | IEEE IEEE Neural Networks Soc |
Starting Page | 1204 |
Ending Page | 1209 |
File Size | 554604 |
Page Count | 6 |
File Format | |
ISBN | 0780372808 |
DOI | 10.1109/FUZZ.2002.1006675 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2002-05-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fuzzy reasoning Fuzzy systems Petri nets Inference algorithms Fuzzy neural networks Fuzzy logic Knowledge based systems Neural networks Computer science Computational modeling |
Content Type | Text |
Resource Type | Article |
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