Abstract
Supplier selection is a complex multiple criteria decision-making (MCDM) problem, which considers a number of alternative suppliers as well as conflicting and noncommensurable criteria. Considering the fact that it is difficult to precisely determine criteria weights and the ratings of alternatives on each criterion in real-life situations, the VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) method has been modified for intuitionistic fuzzy data in this study for supplier evaluation and selection. Further, we take into account both subjective and objective weights of criteria in the decision-making process, as most supplier selection approaches consider only subjective criteria weights. Finally, two supplier selection examples are provided to illustrate the proposed intuitionistic fuzzy hybrid VIKOR (IFH-VIKOR) method, and its merits are highlighted by comparing it with other relevant approaches.
Highlights
In the modern business environment, the performance of a company largely depends on the competitiveness of its supply chain
The primary contributions of this study are summarized as follows: (1) to deal with the uncertainty and vagueness in supplier selection, performance ratings of alternatives are taken as linguistic terms denoted by intuitionistic fuzzy numbers (IFNs); (2) to combine the merits of both subjective and objective weighting methods, a combination weighting method is proposed to define criteria weights in solving the supplier selection problem; and (3) to identify the most appropriate supplier, an extended VIKOR method is developed for the ranking of the considered alternatives
In Çakır [37], a supplier selection algorithm based on fuzzy analytical hierarchy process (AHP) and a generalized Choquet fuzzy integral was suggested for selecting the best supplier at a steel-producing company
Summary
In the modern business environment, the performance of a company largely depends on the competitiveness of its supply chain. Given the strengths and wide applications of the VIKOR method and IFSs, this paper extends the classical VIKOR to develop a new method, called intuitionistic fuzzy hybrid VIKOR (IFH-VIKOR), for solving supplier selection problems. The primary contributions of this study are summarized as follows: (1) to deal with the uncertainty and vagueness in supplier selection, performance ratings of alternatives are taken as linguistic terms denoted by intuitionistic fuzzy numbers (IFNs); (2) to combine the merits of both subjective and objective weighting methods, a combination weighting method is proposed to define criteria weights in solving the supplier selection problem; and (3) to identify the most appropriate supplier, an extended VIKOR method is developed for the ranking of the considered alternatives.
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