Petri nets: an introduction
Rule-based reasoning as Boolean transformations
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Petri nets for rule-based decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A parallel algorithm for real-time decision making: a rough set approach
Journal of Intelligent Information Systems
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Knowledge Representation Using Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
Dynamic knowledge inference and learning under adaptive fuzzy Petrinet framework
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A petri net system: an overview
Fundamenta Informaticae - Special issue on theory and applications of soft computing (TASC04)
A New Class of Fuzzy Petri Nets for Knowledge Representation and Reasoning
Fundamenta Informaticae - Concurrency, Specification and Programming
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In 1990 Shyi-Ming Chen et al. presented a new approach to knowledge representation using fuzzy Petri nets (FPN). A fuzzy Petri net model allows a structural representation of knowledge and has a systematic procedure for supporting fuzzy reasoning. In this paper we propose an algebraic (matrix) representation of FPNs. We use this representation in a fuzzy reasoning algorithm which is simple to implement in modern programming languages such as C++, C# or Java. Furthermore, there exists MATLAB - a computer system which makes it possible to solve many computing problems, especially those with matrix and vector formulations. We present also an approach enabling us to carry out a fuzzy reasoning process using the MATLAB environment.