GSES with Large Group Uncertain Linguistic MULTIMOORA Method

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

Chapter Chapter 9 in Green Supplier Evaluation and Selection: Models, Methods and Applications, 2021, pp 201-228 from Springer

Abstract: Abstract To derive the best result, large group of decision makers are often involved in the green supplier selection nowadays. Besides, decision makers tend to express their evaluations utilizing uncertain linguistic terms due to the vagueness of human thinking. Hence, this chapter aims to propose a hybrid approach for green supplier selection within the large group setting. More concretely, interval-valued intuitionistic uncertain linguistic sets (IVIULSs) are applied for assessing the performance of green suppliers concerning each criterion. Ant colony algorithm is utilized to cluster decision makers into several subgroups. The linear programming technique for multidimensional analysis of preference (LINMAP) is adopted for the determination of criteria weights objectively. Finally, an extended MULTIMOORA approach is utilized to generate the ranking of alternative suppliers. The practicality and usefulness of the developed large group GSES framework is illustrated using an empirical example of a real estate company.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-0382-2_9

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DOI: 10.1007/978-981-16-0382-2_9

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