| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 03036 | |
| Number of page(s) | 4 | |
| Section | Digital Development and Environmental Management of Energy Supply Chain | |
| DOI | https://doi.org/10.1051/e3sconf/202021403036 | |
| Published online | 07 December 2020 | |
Supply Chain Quality Performance Evaluation Model Based on Intuitionistic Fuzzy PROMETHEE
1 Department of Management Engineering and Equipment Economy, Naval University of Engineering, Wuhan, China
2 Department of Management Engineering and Equipment Economy, Naval University of Engineering, Wuhan, China
a e-mail: 1158387625@qq.com
b e-mail: 13397191239@189.cn
Aiming at the ambiguity and uncertainty in subjective group decision-making of supply chain quality performance evaluation, the traditional preference ranking organization methods for enrichment evaluation (PROMETHEE) is extended to a fuzzy environment, and a new intuitive fuzzy PROMETHEE model is proposed. The model uses intuitionistic fuzzy numbers to express the decision-maker’s semantic evaluation information, and establishes a trust function based on the evaluation information to determine the decision-maker’s weight. Then, use the method of maximizing the net flow to obtain the attribute weight. Finally, gather the evaluation information to obtain the decision group’s pros and cons. The validity and feasibility of the model is verified by an example.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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