GSES with Interval-Valued Intuitionistic Uncertain Linguistic AQM

Hu-Chen Liu () and Xiao-Yue You ()
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Hu-Chen Liu: Tongji University
Xiao-Yue You: Tongji University

Chapter Chapter 7 in Green Supplier Evaluation and Selection: Models, Methods and Applications, 2021, pp 153-179 from Springer

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-0382-2_7

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DOI: 10.1007/978-981-16-0382-2_7

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