Journal
IEEE ACCESS
Volume 8, Issue -, Pages 199111-199119Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3035025
Keywords
Z-numbers; MABAC method; third-party logistics suppliers; fuzzy number; multi criteria decision making (MCDM)
Categories
Funding
- Fund for Shanxi 1331 Project Key Innovative Research Team 2017
- Discipline Group Construction Plan for Serving Industries Innovation, Shanxi, China
- Discipline Group Program of Intelligent Logistics Management for Serving Industries Innovation 2018
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As third-party logistics providers occupy an increasingly important position in the operation strategies of various enterprises, choosing a partner that suits them and can bring benefits to them has become an important decision-making issue for each enterprise. A lot of studies have been done with classical fuzzy methods, but there are relatively few studies that consider information reliability. The emergence of Z-numbers makes up for this deficiency, including the restriction on the evaluation object and the corresponding degree of confidence. In this article, making decisions based on Z-numbers can better transform language values into fuzzy numbers. By integrating the existing Multi-Attributive Border Approximation area Comparison (MABAC) method and Z-numbers, a new method for the selection of third-party logistics providers is provided. Finally, the feasibility and effectiveness of the approach are verified by comparing with the classical Multi Criteria Decision Making methods. The Z-number is a relatively new concept that can flexibly represent the confidence of information, which will be a relatively important research direction in the future.
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