Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information

Dynhora-Danheyda Ramírez-Ochoa (), Luis Pérez-Domínguez (), Erwin Adán Martínez-Gómez (), Vianey Torres-Argüelles (), Harish Garg () and Veronica Sansabas-Villapando ()
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Dynhora-Danheyda Ramírez-Ochoa: Autonomous University of Ciudad Juarez, Department of Industrial Engineering and Manufacturing, Doctorate in Technology
Luis Pérez-Domínguez: Autonomous University of Ciudad Juarez, Department of Industrial Engineering and Manufacturing, Doctorate in Technology
Erwin Adán Martínez-Gómez: Autonomous University of Ciudad Juarez, Department of Industrial Engineering and Manufacturing, Doctorate in Technology
Vianey Torres-Argüelles: Autonomous University of Ciudad Juarez, Department of Industrial Engineering and Manufacturing, Doctorate in Technology
Harish Garg: Deemed University, School of Mathematics, Thapar Institute of Engineering and Technology
Veronica Sansabas-Villapando: Autonomous University of Ciudad Juarez, Department of Industrial Engineering and Manufacturing, Doctorate in Technology

Chapter Chapter 9 in q-Rung Orthopair Fuzzy Sets, 2022, pp 219-240 from Springer

Abstract: Abstract The process carried out for the selection of suppliers has been considered a critical activity within companies to maintain high competitiveness in the market. Likewise, a variety of factors that belong to the supply chain must be considered. In this way, to select a good supplier has become more complex related to different criteria involved. In this sense, this work presents a numerical case for the selection of providers, which validates the use of the Combinatorial Distance-Based Assessment (CODAS) method with fuzzy information of q-line orthopair in a multi-criteria environment. Similarly, the CODAS method achieves greater precision in the selection process, in addition, by employing fuzzy sets for decision-making in situations with uncertainty and multiple criteria. In this mode, the hybridization of the CODAS method and q-rung orthopair fuzzy set (q-ROFS) represent a proficient tool to deal with supplier appraisal.

Keywords: q-Rung Orthopair; q-ROFS; CODAS; Green providers; Decision-making; Multi-criteria (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-1449-2_9

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DOI: 10.1007/978-981-19-1449-2_9

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