Advanced methods for modeling the discrets hierarchical systems

Abstract A new tool for autonomous discrete systems modeling is proposed in this article. It integrates the fuzzy logic in the temporized Petri nets. The uncertainty associated to this activity needs specific reasoning and modeling methods that are different from those of precise reasoning. Fuzzy logic offers the environment for exploiting of the fuzzy parameters and generates more refined results than classical reasoning. In this context, the Recurrent Synchronized Fuzzy Petri Nets ( PNetSinFREC ) are well adapted to detection/decision modeling of the functions by a temporized fuzzy transition approach in hierarchical systems.

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