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- W4386840658 abstract "FPNs are a graphical-based knowledge representation and reasoning tool widely used in many fields for intelligent decision making. However, the traditional FPNs could not accurately represent domain experts’ uncertain and ambiguous knowledge with the increasing complexity of knowledge base systems. Additionally, the task of assessing the truth degrees of input places is limited to small-scale expert groups in current practices. In response to these problems, this chapter develops a new type of FPN model, called Pythagorean fuzzy Petri nets (PFPNs), for knowledge representation and reasoning in the large group context. Pythagorean fuzzy sets are introduced to capture imprecise and ambiguous knowledge and a large group truth determination method is proposed to get the truth degrees of input places with massive data. Finally, an application example regarding security risk assessment is given to show the effectiveness and advantages of our proposed PFPNs." @default.
- W4386840658 created "2023-09-19" @default.
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- W4386840658 date "2023-01-01" @default.
- W4386840658 modified "2023-09-27" @default.
- W4386840658 title "Pythagorean Fuzzy Petri Nets for Knowledge Representation and Reasoning" @default.
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- W4386840658 doi "https://doi.org/10.1007/978-981-99-5154-3_17" @default.
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