Use of Fuzzy Clustering for Discrete Event Simulation Model Construction - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Use of Fuzzy Clustering for Discrete Event Simulation Model Construction

Résumé

System inference is widely recognized as a critical challenging issue. Discrete event simulation model construction is the relevant approach regarding of this issue. Indeed, it allows to discover a Fuzzy Discrete Event System Specification (Fuzzy-DEVS) model from data using process mining. However, this approach lacks of modularity. In this paper, the objective is to propose a new method for Fuzzy-DEVS coupled model. This method extends discrete event simulation model construction by integrating fuzzy clustering. This later is implemented as a plugin in the Process Mining Framework (ProM). In order to evaluate the relevance, a case study is presented. In this case study, a real life data of business process is inferred and the SimStudio tool is used for its simulation.
Fichier principal
Vignette du fichier
Use of fuzzy clustering for discrete event simulation model construction.pdf (597.74 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01735954 , version 1 (16-03-2018)

Identifiants

  • HAL Id : hal-01735954 , version 1

Citer

Yan Wang, Gregory Zacharewicz, Mamadou Kaba Traoré, David Chen. Use of Fuzzy Clustering for Discrete Event Simulation Model Construction. IFAC 2017 World Congress The 20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, France. ⟨hal-01735954⟩
159 Consultations
86 Téléchargements

Partager

Gmail Facebook X LinkedIn More