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Decision-making from multiple uncertain experts: case of distribution center location selection

Abstract : The location selection of distribution center covers one of the important strategic decision issues for the logistics system managers. In view of the inherent uncertainty and inaccuracy of human decision-making, the future behavior of the market and companies, this paper adopts the improved multi-attribute and multi-Actor decision-making (MAADM) method as a fuzzy multi-attribute and multi-actor decision-making (FMAADM) method for solving the selection problem under an uncertain environment. The great strengths of our proposed method are: first, the integration of the decision-makers group preferences into the decision-making process, second, the consideration of the informations related to the alternatives and the criteria weights which are inaccurate, uncertain or incomplete, third, the verification of the obtained solution by both tests of concordance and non-discordance. To validate the FMAADM method, a decision support system was developed. Different experiments were provided based on comparative analysis of results and the sensitivity analysis. These experiments demonstrate the efficiency of our proposed method and its superiority over another existing methods.
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Submitted on : Friday, October 22, 2021 - 4:17:37 PM
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Maroi Agrebi, Mourad Abed. Decision-making from multiple uncertain experts: case of distribution center location selection. Soft Computing, Springer Verlag, 2021, 25 (6), pp.4525-4544. ⟨10.1007/s00500-020-05461-y⟩. ⟨hal-03396246⟩



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