Abstract
The use of Petri nets and Fuzzy logic in intelligent process control has caught the attention of many researchers. In this paper, a Continuous Fuzzy Petri Net (CFPN) approach that can deal with real-time continuous inferencing, for the purpose of process control and modeling at a high level in the presense of uncertainty, is presented. Continuous Fuzzy Petri Net integrates several paradigms and technologies: fuzzy control, Petri nets and real-time expert systems. These three areas are combined to produce a powerful tool in the area of real-time process control supervision.
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