Articles : MELECON 2008

Fuzzy Modeling for Discrete Events Systems

Abstract: In this paper, we present our work on fuzzy modeling, and in particular an approach based on the integration of the uncertain theories in the formalism of multi modeling and simulation with discrete events. The goal of this approach is to help the expert of a field to specify in a simple way the behavior of a complex system with badly defined, fuzzy, etc. parameters. This approach can be employed in multiple fields; an application to the study of the forest fires propagation is presented in order to validate the models.
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Discrete events system simulation-based deFuzzification method

Abstract: This article presents our approach to discrete event simulation for system with inaccurate parameters. For such systems, simulation runs according to events whose dates are known; but in fuzzy modelling, it may be that the dates of the events are inaccurate. To solve this problem, we suggest using a method that converts a inaccurate value into accurate value. This method is incorporated into modelling and simulation formalism.