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Communication Dans Un Congrès Année : 2017

Verification and Validation of D2FD Method

Résumé

—D2FD (Data to Fuzzy-DEVS) method provides a solution for the problem of system inference. This method is well designed and implemented as an available and dedicated plug-in within the process mining framework (ProM). This plug-in is also integrated with the simulation tool SimStudio. However, the last step of the process of inferring models and simulations, which is verification and validation, is missing. This paper proposes a new paradigm of verification and validation in system inference. The case study uses the method of comparing with other models as the main validation technique. Based on the same data source from the Dutch Employee Insurance Agency, it attempts to compare the previous results with other studies.
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Dates et versions

hal-01551436 , version 1 (30-06-2017)

Identifiants

  • HAL Id : hal-01551436 , version 1

Citer

Yan Wang, Mamadou Kaba Traoré, Grégory Zacharewicz, David Chen. Verification and Validation of D2FD Method. NICST'2017 New Information Communication Sciences and Technology for Sustainable Development, Jun 2017, Clermont-Ferrand, France. ⟨hal-01551436⟩
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