Supplier selection problem (SSP) has become critical objectives of purchasing departments because of its significant effect toward successful logistic and supply chain management (SCM).In real life situations, SSP parameters are often imprecise, vague, uncertain or incomplete. In this respect, fuzzy set theory is the best-developed approach to formulate these uncertainties. In this paper, we have extended fuzzy VIKOR using an efficient fuzzy distance measure to solve applicable SSP under group decision making process. In our study, an efficient fuzzy VIKOR for solving SSP under group decision making process is presented in which decision makers have different weights in decision making process and its 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.
Mahmoudi, A., Sadi-Nezhad, S., & Makui, A. (2016). An extended fuzzy VIKOR for group decision making based on fuzzy distance to supplier selection. Scientia Iranica, 23(4), 1879-1892. doi: 10.24200/sci.2016.3934
MLA
Amin Mahmoudi; Soheil Sadi-Nezhad; Ahmad Makui. "An extended fuzzy VIKOR for group decision making based on fuzzy distance to supplier selection". Scientia Iranica, 23, 4, 2016, 1879-1892. doi: 10.24200/sci.2016.3934
HARVARD
Mahmoudi, A., Sadi-Nezhad, S., Makui, A. (2016). 'An extended fuzzy VIKOR for group decision making based on fuzzy distance to supplier selection', Scientia Iranica, 23(4), pp. 1879-1892. doi: 10.24200/sci.2016.3934
VANCOUVER
Mahmoudi, A., Sadi-Nezhad, S., Makui, A. An extended fuzzy VIKOR for group decision making based on fuzzy distance to supplier selection. Scientia Iranica, 2016; 23(4): 1879-1892. doi: 10.24200/sci.2016.3934
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