An extended fuzzy VIKOR for group decision-making based on fuzzy distance to supplier selection

Supplier selection problem (ssp) has become a critical objective of purchasing departments because of its signicant effect on successful logistic and supply chain management (scm). in real-life situations, ssp parameters are often imprecise, vague, uncertain, or incomplete. in this respect, fuzzy sets theory is the best developed approach to formulate these uncertainties. in this paper, we have extended fuzzy vikor using an ecient fuzzy distance measure to solve applicable ssp under group decision-making process. in our study, an ecient fuzzy vikor for solving ssp under group decisionmaking process is presented in which decision makers have different weights in decisionmaking process and their opinions are collected in the form of linguistic variables. in our methodology, preference ratio method is applied to rank the alternatives. ultimately, several numerical illustrations and sensitivity analyses are performed to demonstrate the applicability of the proposed method.