Fuzzy Petri nets for rule-based decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
Intuitionistic fuzzy information - Applications to pattern recognition
Pattern Recognition Letters
Fuzzy Sets and Systems
Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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To the limitation of Fuzzy Petri Nets single membership, the Intuitionistic Fuzzy Petri Nets model and reasoning algorithm is proposed by combining the advantage of Intuitionistic Fuzzy Sets with Petri Nets. In the model, the confidence degree and threshold of the transition as well as the token value of each place are represented by intuitionistic fuzzy number. This model can solve the problem of each importing place with asymmetrical weight to one transition by taking account into the weighted parameter, and it can be condensed by the output matrix joining the confidence degree parameter. Furthermore, the efficiency of the reasoning is improved due to the parallel operation ability of Petri Nets, the reasoning result is more believable and precise for the effect of the nonmembership parameter. Finally, the feasibility and validity of the proposed inference model are presented by an instance.