Abstract
AbstractSince the 1990s, companies outsource their non-core logistic activities to third-party logistic (3PL) service providers. Selection of an appropriate 3PL service provider which gives a competitive advantage to the company can be considered as a multiple criteria group decision-making problem. 3PL service provider selection problem has several qualitative criteria which are graded with linguistic terms. A multicriteria decision-making (MCDM) method is required to consider vagueness and impreciseness evaluating the alternatives of 3PL company. Q-rung orthopair fuzzy (q-ROF) sets extend the intuitionistic and Pythagorean fuzzy sets by giving a wider area to decision-makers in expressing their evaluations. CODAS is a decision-making method based on calculating the distances between each alternative and the negative ideal solution which is the lowest value. At first, Euclidean distance is used, then Taxicab distance is used to exaggerate the discrimination. In this chapter, the q-Rung Orthopair Fuzzy CODAS method is proposed for the first time, by adapting the CODAS method to q-ROF sets. Information about the classical and fuzzy set applications of the CODAS method in the literature is given, and the third-party logistics service provider selection is made for a retail company with the proposed q-ROF CODAS method. In a case study, three decision-makers select the most suitable company with the help of seven criteria among six alternatives and the results were compared with another decision-making method.KeywordsParty logisticsq-rung orthopair fuzzy setsCODAS methodMCDM
Published Version
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