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An integrative approach to simulation model discovery: Combining system theory, process mining and fuzzy logic

dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorWANG, Yan
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorZACHAREWICZ, Gregory
hal.structure.identifierLaboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
dc.contributor.authorTRAORE, Mamadou Kaba
IDREF: 112136893
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorCHEN, David
IDREF: 163750734
dc.date.accessioned2024-09-16T07:59:29Z
dc.date.available2024-09-16T07:59:29Z
dc.date.issued2018-01-12
dc.identifier.issn1064-1246en_US
dc.identifier.urioai:crossref.org:10.3233/jifs-17403
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201588
dc.description.abstractEnSystem 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.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enSystem inference
dc.subject.enProcess mining
dc.subject.enFuzzy-DEVS
dc.subject.enSystem entity structure
dc.subject.enEvent logs
dc.title.enAn integrative approach to simulation model discovery: Combining system theory, process mining and fuzzy logic
dc.title.alternativeJIFSen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.3233/jifs-17403en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalJournal of Japan Society for Fuzzy Theory and Systemsen_US
bordeaux.page477-490en_US
bordeaux.volume34en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Japan%20Society%20for%20Fuzzy%20Theory%20and%20Systems&rft.date=2018-01-12&rft.volume=34&rft.issue=1&rft.spage=477-490&rft.epage=477-490&rft.eissn=1064-1246&rft.issn=1064-1246&rft.au=WANG,%20Yan&ZACHAREWICZ,%20Gregory&TRAORE,%20Mamadou%20Kaba&CHEN,%20David&rft.genre=article


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