Modeling, reasoning, and application of fuzzy Petri net model: A survey
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 fr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer Nature
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/101066/1/AzlanMohdZain2022_ModelingReasoningandApplicationofFuzzyPetriNet.pdf |
| _version_ | 1796866993090985984 |
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| author | Jiang, Wei Zhou, Kai-Qing Arezoo, Sarkheyli-Hägele Mohd. Zain, Azlan |
| author_facet | Jiang, Wei Zhou, Kai-Qing Arezoo, Sarkheyli-Hägele Mohd. Zain, Azlan |
| author_sort | Jiang, Wei |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:20:30Z |
| format | Article |
| id | utm.eprints-101066 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:20:30Z |
| publishDate | 2022 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | utm.eprints-1010662023-06-01T06:19:31Z http://eprints.utm.my/101066/ Modeling, reasoning, and application of fuzzy Petri net model: A survey Jiang, Wei Zhou, Kai-Qing Arezoo, Sarkheyli-Hägele Mohd. Zain, Azlan QA75 Electronic computers. Computer science 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. Springer Nature 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/101066/1/AzlanMohdZain2022_ModelingReasoningandApplicationofFuzzyPetriNet.pdf 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 http://dx.doi.org/10.1007/s10462-022-10161-0 DOI : 10.1007/s10462-022-10161-0 |
| spellingShingle | QA75 Electronic computers. Computer science Jiang, Wei Zhou, Kai-Qing Arezoo, Sarkheyli-Hägele Mohd. Zain, Azlan Modeling, reasoning, and application of fuzzy Petri net model: A survey |
| title | Modeling, reasoning, and application of fuzzy Petri net model: A survey |
| title_full | Modeling, reasoning, and application of fuzzy Petri net model: A survey |
| title_fullStr | Modeling, reasoning, and application of fuzzy Petri net model: A survey |
| title_full_unstemmed | Modeling, reasoning, and application of fuzzy Petri net model: A survey |
| title_short | Modeling, reasoning, and application of fuzzy Petri net model: A survey |
| title_sort | modeling reasoning and application of fuzzy petri net model a survey |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/101066/1/AzlanMohdZain2022_ModelingReasoningandApplicationofFuzzyPetriNet.pdf |
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