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Etude prospective d’un environnement d’aide à la décision rendu configurable par des modèles

Abstract : Decision-making paths, frequency of decision-making, as much as their critical weight, have new prominences in today organizations. We are interested here in the decision-maker's capacity to include the characteristics specific to his/her ecosystem, its context and its often-changing issues in the way he/she practices. Decision-makers are often business experts to whom we want to help the design and adaption of their decision-making tools. The creation of a decision support framework using a Model Driven Engineering (MDE) approach is proposed. It seeks to link models of decision- making needs to logical models required by a combinatorial optimization solver. To do this, the functional and logical architectures of this framework are described on a case study, the traveling salesman problem. The assumptions and knowledge conveyed by the models all along the engineering chain are proposed. The design of the environment follows the principles of the MDA architecture. Several transformation rules between models are then explained. A prototype of this environment was developed using a meta modeler software. It provides a meaningful proof of concept, we mean the capacity to change problem formulations on the fly.
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https://hal-mines-albi.archives-ouvertes.fr/hal-03332025
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Submitted on : Thursday, September 2, 2021 - 2:02:40 PM
Last modification on : Sunday, September 5, 2021 - 3:05:36 AM

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Liwen Zhang, Hervé Pingaud, Elyes Lamine, Franck Fontanili, Christophe Bortolaso, et al.. Etude prospective d’un environnement d’aide à la décision rendu configurable par des modèles. CIGI-Qualita21 : 14ème Conférence Internationale Génie Industriel QUALITA, May 2021, Grenoble (à distance), France. pp.93-101. ⟨hal-03332025⟩

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