A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making

نویسندگان

چکیده

This paper proposes a metaheuristic approach for Group Decision Making (GDM) model integrating heterogeneous information. Instead of converting information into single form, the proposed incorporates using Weighted Power Average (WPA) operator to prevent loss. The consensus degree between individual and group (decision matrix) is then determined on basis deviation degree. In addition, adjust decision matrix, iterative algorithm's feedback mechanism used, which does not achieve consensus. GDM used by Analytic Hierarchy Process (AHP), an imperative technique generating weights each every criteria. These are optimized Jaya, one algorithms. in order choose best alternative, Technique Order Preference Similarity Ideal Solution (TOPSIS) used. supplier selection problem chosen validate compare it with other similar models. results show that only prevents loss information, but can also effectively integrate environment.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3071454