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Multi-criteria group decision-making method for green supplier selection based on distributed interval variables

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  • Jiayan Huang
  • Nanyue Jiang
  • Ji Chen
  • Tomas Balezentis
  • Dalia Streimikiene

Abstract

Addressing the multi-criteria group decision making problem with interval attribute values and attribute weights, this paper proposes a decision method based on attribute distribution information. The selection of green suppliers is taken as an example for decision analysis. First, in the case of group decision-making, the quantitative values of the evaluation attributes of green suppliers are imputed by decision-makers, and the relevant distributions are constructed for each attribute. Next, combined with the ranges of attribute values, the random interval values are used to describe the information represented by each attribute to overcome the loss caused by the aggregation of individual expert information into group information. We then propose the distributed interval weighted arithmetic average (DIWAA) operator and corresponding operation rules, which realizes the fusion of qualitative data and quantitative judgment. Thus, the proposed approach allows ensuring reasonable results of the multi-criteria analysis. We also construct a ranking method for alternatives based on distributed interval comprehensive scores. Finally, we verify the feasibility and effectiveness of the proposed method for the task of green supplier selection through numerical experiments.

Suggested Citation

  • Jiayan Huang & Nanyue Jiang & Ji Chen & Tomas Balezentis & Dalia Streimikiene, 2022. "Multi-criteria group decision-making method for green supplier selection based on distributed interval variables," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 746-761, December.
    • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:746-761
    DOI: 10.1080/1331677X.2021.1931916
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    Cited by:

    1. Sumin Yu & Xiaoting Zhang & Zhijiao Du & Yanyan Chen, 2023. "A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection," Mathematics, MDPI, vol. 11(9), pages 1-32, April.

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