Jiang, Wei and Zhou, Kai-Qing and Arezoo, Sarkheyli-Hägele and Mohd. Zain, Azlan (2022) Modeling, reasoning, and application of fuzzy Petri net model: A survey. Artificial Intelligence Review, 55 (8). pp. 6567-6605. ISSN 0269-2821
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Official URL: http://dx.doi.org/10.1007/s10462-022-10161-0
Abstract
A fuzzy Petri net (FPN) is a powerful tool to model and analyze knowledge-based systems containing vague information. This paper systematically reviews recent developments of the FPN model from the following three perspectives: knowledge representation using FPN, reasoning mechanisms using an FPN framework, and the latest industrial applications using FPN. In addition, some specific modeling and reasoning approaches to FPN to solve the ‘state-explosion problem’ are illustrated. Furthermore, detailed analysis of the discussed aspects are shown to reveal some interesting findings, as well as their developmental history. Finally, we present conclusions and suggestions for future research directions.
Item Type: | Article |
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Uncontrolled Keywords: | Fuzzy Petri net, Industrial application, Knowledge representation, Modeling, Reasoning |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 101066 |
Deposited By: | Widya Wahid |
Deposited On: | 01 Jun 2023 06:19 |
Last Modified: | 01 Jun 2023 06:19 |
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