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Modeling, reasoning, and application of fuzzy Petri net model: a survey
Jishou Univ, Coll Informat Sci & Engn, Jishou 416000, Hunan, Peoples R China..
Jishou Univ, Coll Informat Sci & Engn, Jishou 416000, Hunan, Peoples R China..
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0001-6925-0444
Univ Teknol Malaysia, UTM Big Data Ctr, Skudai 80310, Johor, Malaysia..
2022 (English)In: Artificial Intelligence Review, ISSN 0269-2821, E-ISSN 1573-7462, Vol. 55, p. 6567-6605Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 55, p. 6567-6605
Keywords [en]
Fuzzy Petri net, Knowledge representation, Modeling, Reasoning, Industrial application
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-50915DOI: 10.1007/s10462-022-10161-0ISI: 000767725000001Scopus ID: 2-s2.0-85126103876OAI: oai:DiVA.org:mau-50915DiVA, id: diva2:1649662
Available from: 2022-04-04 Created: 2022-04-04 Last updated: 2024-02-05Bibliographically approved

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Sarkheyli-Hägele, Arezoo

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