Title :
Discrete events system simulation-based deFuzzification method
Author :
Bisgambiglia, P.A. ; de Gentili, E. ; Bisgambiglia, P. ; Santucci, J.-F.
Author_Institution :
CNRS, Univ. of CORSICA, Corte
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 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.
Keywords :
discrete event simulation; discrete event systems; fuzzy set theory; deFuzzification method; discrete events system; fuzzy modeling; fuzzy sets; interval analysis; Analytical models; Arithmetic; Discrete event simulation; Discrete event systems; Fuzzy sets; Fuzzy systems; Laboratories; Mathematical analysis; Mathematical model; Numerical models; Defuzzification; Discrete Events Systems; Fuzzy Sets; Interval Analysis; Modeling; Simulation;
Conference_Titel :
Electrotechnical Conference, 2008. MELECON 2008. The 14th IEEE Mediterranean
Conference_Location :
Ajaccio
Print_ISBN :
978-1-4244-1632-5
Electronic_ISBN :
978-1-4244-1633-2
DOI :
10.1109/MELCON.2008.4618423
