Fuzzy Rule Base Systems Verification Using High-Level Petri Nets
IEEE Transactions on Knowledge and Data Engineering
A Formal Definition of Hierarchical Predicate Transition Nets
Proceedings of the 17th International Conference on Application and Theory of Petri Nets
Modeling and Evaluation of Software Systems with Object Stochastic Activity Networks
ICSEA '06 Proceedings of the International Conference on Software Engineering Advances
Modeling uncertainty reasoning with possibilistic Petri nets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Concurrent reasoning of fuzzy logical Petri nets based on multi-task schedule
IEEE Transactions on Fuzzy Systems
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The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri Net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.