Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/310220 
Year of Publication: 
2022
Citation: 
[Journal:] Logistics [ISSN:] 2305-6290 [Volume:] 6 [Issue:] 1 [Article No.:] 7 [Year:] 2022 [Pages:] 1-15
Publisher: 
MDPI, Basel
Abstract: 
Background: Coal production and marketing enterprises can significantly reduce transportation costs and improve their competitiveness by choosing appropriate road transportation companies. Methods: Based on this, a trapezoidal fuzzy SWARA-COPRAS method is proposed to select coal transportation companies. The trapezoidal fuzzy SWARA method is used to determine the index weight of coal transportation companies. The ranking of coal transportation companies is determined using the trapezoidal fuzzy COPRAS method. Results: Taking a coal production and marketing enterprise in Hubei, China as an example, the application of the trapezoidal fuzzy SWARA-COPRAS method is illustrated, and the coal transportation companies are sorted and analyzed for sensitivity. Conclusions: Compared with the results of other methods, the effectiveness and practicability of the trapezoidal fuzzy SWARA-COPRAS method are verified.
Subjects: 
COPRAS method
multi-criteria decision making
SWARA method
transportation company
trapezoidal fuzzy set
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
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