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

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q-Rung Orthopair Fuzzy Sets

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.

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Authors and Affiliations

  1. Department of Industrial Engineering and Manufacturing, Doctorate in Technology, Autonomous University of Ciudad Juarez, Ciudad Juarez, Chihuahua, Mexico

    Dynhora-Danheyda Ramírez-Ochoa, Luis Pérez-Domínguez, Erwin Adán Martínez-Gómez, Vianey Torres-Argüelles & Veronica Sansabas-Villapando

  2. School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala, 147004, Punjab, India

    Harish Garg

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  1. Dynhora-Danheyda Ramírez-Ochoa
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Correspondence to Luis Pérez-Domínguez .

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  1. Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Harish Garg

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Ramírez-Ochoa, DD., Pérez-Domínguez, L., Martínez-Gómez, E.A., Torres-Argüelles, V., Garg, H., Sansabas-Villapando, V. (2022). Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information. In: Garg, H. (eds) q-Rung Orthopair Fuzzy Sets. Springer, Singapore. https://doi.org/10.1007/978-981-19-1449-2_9

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