3PL Service Provider Selection with q-Rung Orthopair Fuzzy Based CODAS Method

Adem Pinar () and Fatih Emre Boran ()
Additional contact information
Adem Pinar: University of Turkish Aeronautical Association, Department of Logistics Management, Faculty of Business Administration
Fatih Emre Boran: Gazi University, Department of Energy Systems Engineering, Faculty of Technology

Chapter Chapter 11 in q-Rung Orthopair Fuzzy Sets, 2022, pp 285-301 from Springer

Abstract: Abstract Since 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.

Keywords: Party logistics; q-rung orthopair fuzzy sets; CODAS method; MCDM (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-1449-2_11

Ordering information: This item can be ordered from
http://www.springer.com/9789811914492

DOI: 10.1007/978-981-19-1449-2_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().