An integrative approach to simulation model discovery: Combining system theory, process mining and fuzzy logic
TRAORE, Mamadou Kaba
Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
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Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
TRAORE, Mamadou Kaba
Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
< Reduce
Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
Language
EN
Article de revue
This item was published in
Journal of Japan Society for Fuzzy Theory and Systems. 2018-01-12, vol. 34, n° 1, p. 477-490
English Abstract
System inference, i.e., the building of system structure from system behavior, is widely recognized as a critical challenging issue. In System Theory, structure and behavior are at the extreme sides of the hierarchy that ...Read more >
System inference, i.e., the building of system structure from system behavior, is widely recognized as a critical challenging issue. In System Theory, structure and behavior are at the extreme sides of the hierarchy that defines knowledge about the system. System inference is known as climbing the hierarchy from less to more knowledge. In addition, it is possible only under justifying conditions. In this paper, a new system inference method is proposed. The proposed method extends the process mining technique to extract knowledge from data and to represent complex systems. The modularity, frequency and timing aspects can be extracted from the data. They are integrated together to construct the Fuzzy Discrete Event System Specification (Fuzzy-DEVS) model. The proposed approach consists of three stages: (1) extraction of event logs from data by using the System Entity Structure method; (2) discovery of a transition system, using process discovery techniques; (3) integration of fuzzy methods to automatically generate a Fuzzy-DEVS model from the transition system. The last stage is implemented as a plugin in the Process Mining Framework (ProM) environment. A case study is presented in which Fuzzy-DEVS model is inferred from real life data, and the SimStudio tool is used for its simulation.Read less <
English Keywords
System inference
Process mining
Fuzzy-DEVS
System entity structure
Event logs