A synergy-effect-incorporated fuzzy Petri net modeling paradigm with application in risk assessment

作者：

Highlights：

• A novel synergy-effect-incorporated fuzzy Petri net (SFPN) modeling paradigm is developed.

• The transition enabling conditions and truth degree calculation rules incorporated with synergy effects are presented.

• The proposed SFPN is capable of properly depicting the catalyst and inhibitor effects existing in fuzzy rule-based expert systems.

• The advantages of the proposed SFPN are validated through a risk assessment case study.

摘要

•A novel synergy-effect-incorporated fuzzy Petri net (SFPN) modeling paradigm is developed.•The transition enabling conditions and truth degree calculation rules incorporated with synergy effects are presented.•The proposed SFPN is capable of properly depicting the catalyst and inhibitor effects existing in fuzzy rule-based expert systems.•The advantages of the proposed SFPN are validated through a risk assessment case study.

论文关键词：Synergy effect,Fuzzy Petri net,Risk assessment,Fuzzy reasoning,Expert system

论文评审过程：Received 14 October 2021, Revised 21 January 2022, Accepted 27 March 2022, Available online 9 April 2022, Version of Record 19 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117037