Discrete events system simulation-based deFuzzification method
Résumé
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 modeling, it may be that the date 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 a modelling and simulation formalism.