Multi-criteria group decision-making method for green supplier selection based on distributed interval variables
Bibliographic Data
| ID | 15066402 |
|---|---|
| Authors | Jiayan Huang (0000-0001-9074-6305, Zhejiang Gongshang University), Nanyue Jiang (Lithuanian Centre for Social Sciences), Ji Chen (0000-0002-9476-1737, Zhejiang Gongshang University, corresponding author), Tomas Balezentis (0000-0002-3906-1711, Lithuanian Centre for Social Sciences), Dalia Streimikiene (0000-0002-3247-9912, Lithuanian Centre for Social Sciences) |
| Year | 2022 |
| Volume | 35 |
| Issue | 1 |
| Pages | 746-761 |
| Publication date | 2022-12-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2021.1931916 |
| OpenAlex | W3174567987 |
| Language | EN |
| Citations received | 1 |
| References cited | 42 |
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
Data mining · Information fusion · Operations research · Computer Science · Engineering · Fuzzy Systems and Optimization · Mathematics · Multi-Criteria Decision Making · Sustainable Supply Chain Management · Artificial Intelligence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0.33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |