Zhou, Kai Qing and Mohd. Zain, Azlan (2016) Fuzzy Petri nets and industrial applications: a review. Artificial Intelligence Review, 45 (4). pp. 405-446. ISSN 0269-2821
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Abstract
Fuzzy Petri net (FPN) provides an extremely competent basis for the implementation of computing reasoning processes and the modeling of systems with uncertainty. This paper reviews recent developments of the FPN and its industrial applications. Several important aspects of FPN’s background, history and formalisms are discussed, including the reasoning algorithm and relevant industrial applications; after which we present our conclusions and suggestions for future research
Item Type: | Article |
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Uncontrolled Keywords: | Fuzzy systems, Industrial applications, Industrial research, Models, Uncertainty analysis, Fuzzy Petri nets, Model of systems, Reasoning algorithms, Reasoning process, Petri nets |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science and Information System |
ID Code: | 72648 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 22 Nov 2017 12:07 |
Last Modified: | 22 Nov 2017 12:07 |
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