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Article type: Research Article
Authors: Sun, Shaoye; *
Affiliations: Yantai Institute of Technology, Yantai, Shandong, China
Correspondence: [*] Corresponding author. Shaoye Sun. E-mail: [email protected].
Abstract: In recent years, the lack of coordination in cross-border logistics has been one of the challenges and challenges faced by cross-border e-commerce. As the primary link in cross-border logistics, the selection of logistics service providers is an important foundation for promoting the development of cross-border e-commerce, and also a key link in improving the competitiveness of cross-border e-commerce enterprises. How to choose suitable and effective cross-border e-commerce logistics service providers has important theoretical significance and practical application value. The cross-border e-commerce logistics service providers evaluation is a multiple-attributed decision-making (MADM) problem. In this paper, the Type-2 neutrosophic number cross-entropy (T2NN-CE) technique is designed with help of cross-entropy and Type-2 neutrosophic number (T2NN). Furthermore, Then, T2NN-CE technique is built to solve the MADM. Finally, a numerical example for cross-border e-commerce logistics service providers evaluation is given and some comparisons are conducted to illustrate advantages of the designed T2NN-CE technique. The research contribution of the paper is outlined: (1) The T2NN-CE is managed under T2NNs; (2) the T2NN-CE method is implemented for MADM under T2NNs; (3) the T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is constructed and were compared with some existing techniques; (4) Through the comparison, it is known that T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is effective.
Keywords: Multiple-attributed decision-making (MADM), Type-2 neutrosophic number (T2NN), cross entropy, cross-border e-commerce logistics service providers evaluation
DOI: 10.3233/JIFS-238592
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 6747-6762, 2024
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