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Article type: Research Article
Authors: Yuan, Yuan; *
Affiliations: School of Foreign Studies, Suqian University, Suqian, Jiangsu, China
Correspondence: [*] Corresponding author. Yuan Yuan, School of Foreign Studies, Suqian University, Suqian, Jiangsu, 223800, China. E-mail: [email protected].
Abstract: With the development of national economy and the increase of foreign trade, Business English has become one of the most popular majors in universities. In order to cultivate business English talents for the national society and adapt to the requirements of the times, the innovation of English teaching concepts and the reform of teaching techniques are the only way for business English majors teaching in universities. The colleges business English teaching quality evaluation is considered as a multi-attribute group decision making (MAGDM). In this paper, the EDAS technique is expanded to the single-valued neutrosophic sets (SVNSs) and the single-valued neutrosophic number EDAS (SVNN-EDAS) technique based on Euclid distance and cosine similarity measure (CSM) is constructed to manage MAGDM. The CRITIC technique is employed to achieve the weight information based on Euclid distance and CSM technique under SVNSs. Finally, the colleges business English teaching quality evaluation is employed to demonstrate the SVNN-EDAS technique and some comparative analysis is employed to demonstrate the SVNN-EDAS. Thus, the main research contribution of this work is then constructed: (1) the CRITIC technique is built to get the attribute’s weight based on Euclid distance and CSM technique; (2) the SVNN-EDAS technique is constructed under SVNNs based on Euclid distance and CSM technique; (3) an example for colleges business English teaching quality evaluation is employed to verify SVNN-EDAS technique and several decision comparative analysis are employed to verify the SVNN-EDAS.
Keywords: Multi-attribute group decision making (MAGDM), single-valued neutrosophic sets (SVNSs), EDAS technique, cosine similarity measure (CSM), teaching quality evaluation
DOI: 10.3233/JIFS-233786
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 75-89, 2024
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