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GSES with Interval-Valued Intuitionistic Uncertain Linguistic AQM

In: Green Supplier Evaluation and Selection: Models, Methods and Applications

Author

Listed:
  • Hu-Chen Liu

    (Tongji University)

  • Xiao-Yue You

    (Tongji University)

Abstract

Selecting the best green supplier is essential for companies to promote green supply chain management, which is a complex multi-criteria decision making (MCDM) problem. Besides, decision makers tend to utilize linguistic terms for expressing their evaluations owing to their fuzzy knowledge. This chapter reports a new MCDM model for green supplier selection by integrating best-worst method (BWM) and alternative queuing method (AQM) within interval-valued intuitionistic uncertain linguistic setting. This approach allows to capture the uncertainty and vagueness of decision makers’ judgements with the aid of interval-valued intuitionistic uncertain linguistic sets. Furthermore, the BWM method can obtain the optimal weights of criteria via a nonlinear programing model. The AQM is reliable and intuitive to generate the ranking of candidate suppliers. Finally, a watch manufacturer is used as an example for illustrating the practicability and effectiveness of the proposed GSES model.

Suggested Citation

  • Hu-Chen Liu & Xiao-Yue You, 2021. "GSES with Interval-Valued Intuitionistic Uncertain Linguistic AQM," Springer Books, in: Green Supplier Evaluation and Selection: Models, Methods and Applications, chapter 0, pages 153-179, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-0382-2_7
    DOI: 10.1007/978-981-16-0382-2_7
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