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Article type: Research Article
Authors: Gong, Meng; *
Affiliations: Shangqiu College, Shangqiu, Henan, China
Correspondence: [*] Corresponding author. Meng Gong, Shangqiu College, Shangqiu, 476000, Henan, China. E-mail: ai20220909@163.com.
Abstract: With the increasing maturity and widespread application of computer multimedia technology, many universities have attempted to use multimedia technology for English teaching in order to solve some of the difficulties and contradictions faced in current college English teaching practices. Practice has proven that multimedia teaching of college English not only increases the amount of information in classroom teaching, but also improves the effectiveness of classroom teaching. At the same time, due to deviations in understanding, lack of conditions, and improper operation in work, the normal functioning of multimedia teaching is also restricted, which affects the effectiveness of multimedia teaching in college English. How to carry out multimedia teaching of college English is indeed an important topic that needs further research. The fuzzy comprehensive evaluation of multimedia teaching effectiveness in college English is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and GRA method has been used to cope with MADM issues. The double-valued neutrosophic sets (DVNSs) are used as a tool for characterizing uncertain information during the fuzzy comprehensive evaluation of multimedia teaching effectiveness in college English. In this manuscript, the double-valued neutrosophic number Exponential TODIM-GRA (DVNN-ExpTODIM-GRA) method is built to solve the MADM under DVNSs. In the end, a numerical case study for fuzzy comprehensive evaluation of multimedia teaching effectiveness in college English is given to validate the proposed method.
Keywords: Multiple attribute decision making (MADM), double-valued neutrosophic sets (DVNSs), ExpTODIM method, GRA method, multimedia teaching effectiveness
DOI: 10.3233/JIFS-233116
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 4, pp. 5697-5707, 2023
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