An Extended VIKOR Method Using Intuitionistic Fuzzy Sets and Combination Weights for Supplier Selection

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.

Methods for Multiple Attribute Group Decision Making Based on Intuitionistic Fuzzy Dombi Hamy Mean Operators

“…Wan et al [18] researched a novel risk attitudinal ranking method for MADM with IFNs. Zhao et al [19] proposed the VIKOR (VIseKriterijumska Optimizacija I KOmpromisno Resenje) method using IFSs. Liu [20] proposed MADM methods with normal intuitionistic fuzzy interaction operators.…”

Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy

“…Huang et al (2017) applied a linguistic distribution assessment in order to represent FMEA team members' risk evaluation information and employed an improved interactive and multiple criteria decision-making approach to determine the risk priority of failure modes. Zhao et al (2017) suggested an integrated VIKOR approach considering intuitionistic fuzzy data along with both subjective and objective weights of criteria in a supplier selection problem. Liu et al (2017) developed an integrated risk prioritization method to improve the performance of FMEA by using interval-valued intuitionistic fuzzy sets (IVIFSs) and the multi-attributive border approximation area comparison (MABAC) method.…”

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

“…In addition, the fuzzy sets theory has proven to be an important and powerful tool to consider the risks and uncertainties associated with certain qualitative variables in the EES models e.g., the vague nature of the human judgments' description inherent to the assessment [1,2,7,12]. Thus, "fuzzy" versions of these MADM tools have proliferated, both in their single and hybrid applications [7,13,14].…”