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GSES with Heterogeneous Information and MABAC Method

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

Author

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  • Hu-Chen Liu

    (Tongji University)

  • Xiao-Yue You

    (Tongji University)

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.

Suggested Citation

  • Hu-Chen Liu & Xiao-Yue You, 2021. "GSES with Heterogeneous Information and MABAC Method," Springer Books, in: Green Supplier Evaluation and Selection: Models, Methods and Applications, chapter 0, pages 249-272, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-0382-2_11
    DOI: 10.1007/978-981-16-0382-2_11
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