GSES with Heterogeneous Information and MABAC Method

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

Chapter Chapter 11 in Green Supplier Evaluation and Selection: Models, Methods and Applications, 2021, pp 249-272 from Springer

Abstract: Abstract For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. In this chapter, we develop a new GSES model through the combination of heterogeneous criteria information and an extended multi-attributive border approximation area comparison (MABAC) method. Considering the complexity of decision context, heterogeneous information, including real numbers, interval numbers, trapezoidal fuzzy numbers, and linguistic hesitant fuzzy sets, is utilized to evaluate alternative suppliers with respect to the evaluation criteria. A maximizing consensus approach is constructed to determine the weight of each decision-maker based on incomplete weighting information. Then, the classical MABAC method is modified for ranking candidate green suppliers under the heterogeneous information environment. Finally, the developed GSES model is applied in a case study from the automobile industry to illustrate its practicability and efficiency.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-0382-2_11

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DOI: 10.1007/978-981-16-0382-2_11

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