A group decision-making algorithm considering interaction and feedback mechanisms for dynamic supplier selection under q-rung orthopair fuzzy information

Zaoli Yang*, Tingting Zhang, Salman Ahmad, Shivam Gupta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Supplier selection is vital for enterprises to operate stably and achieve and sustain a competitive advantage. However, from the initial establishment to the gradual development and maturity of the enterprise, the supplier selection criteria change dynamically, and decision-makers are hardly in agreement in each stage, which creates challenges for enterprises when choosing suitable suppliers. As such, this paper proposes a multicriteria group decision-making method based on an interaction and feedback mechanism (IFM) and q-rung orthopair fuzzy sets theory. We introduce an IFM to achieve consensus among different decision-makers. We then develop the q-rung orthopair fuzzy weighted partitioned Bonferroni mean (q-ROFWPBM) operator to address the aggregation problem of dynamic multicriteria. A group decision-making algorithm combining the IFM and q-ROFWPBM operator is proposed to analyze the Hongxing Erke supplier selection. The results show that the proposed method can not only account for large differences of opinion among decision-makers during group decision-making but also consider the dynamic changes of supplier selection criteria in different stages of enterprise development and help enterprises choose suppliers suitable for their own development characteristics.

Original languageEnglish
Pages (from-to)6729-6772
Number of pages44
JournalInternational Journal of Intelligent Systems
Volume37
Issue number10
Early online date1 Mar 2022
DOIs
Publication statusPublished - 31 Oct 2022

Keywords

  • dynamic supplier selection
  • interaction and feedback mechanism
  • multicriteria group decision-making
  • q-rung orthopair fuzzy set

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