Title :
Fuzzy simulation for discrete events systems
Author :
Bisgambiglia, Paul-Antoine ; De Gentili, Emmanuelle ; Bisgambiglia, Paul ; Santucci, Jean-François
Author_Institution :
CNRS UMR, CORSICA Univ., Corse
Abstract :
The aim of our research is to develop a new method of taking into account the imperfect parameters in a discrete events modeling and simulation formalism. This article describes our approach to modeling and compares several methods for fuzzy simulations.
Keywords :
discrete event simulation; discrete event systems; fuzzy set theory; DEVS; discrete events modeling; discrete events systems; fuzzy interval; fuzzy sets; fuzzy simulation; simulation formalism; Discrete event simulation; Discrete event systems; Fuzzy systems; DEVS; Defuzzyfication; Fuzzy Interval; Fuzzy Sets; Modeling; Simulation;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630444
