Paper Info
Title
A group decision-making algorithm considering interaction and feedback mechanisms for dynamic supplier selection under q-rung orthopair fuzzy information
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.
Year
DOI
Venue
2022
10.1002/int.22860
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Keywords
DocType
Volume
dynamic supplier selection, interaction and feedback mechanism, multicriteria group decision-making, q-rung orthopair fuzzy set
Journal
37
Issue
ISSN
Citations 
10
0884-8173
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zaoli Yang100.34
Tingting Zhang200.34
Salman Ahmad300.34
Shivam Gupta400.34