探讨t球模糊集对声乐课堂教学的强化评价

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2023-08-31 DOI:10.3233/kes-230151
Yani Lu
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引用次数: 0

摘要

声乐是一门相对复杂的技能和技能课程,它不仅在高校音乐教育中占有重要的地位,而且对培养学生的音乐水平和艺术修养也有重要的作用。在高校声乐教学过程中,如何提高教学质量已成为教师的重要任务和目标。声乐课堂教学质量评价是一个经典的多属性群体决策问题。在t球模糊集(T-SFSs)下,提出了一些新的骰子相似测度(DSM)和广义骰子相似测度(GDSM)。然后,利用加权广义骰子相似测度(WGDSM)求解带有T-SFSs的MAGDM。最后,以声乐课堂教学质量评价为例,验证了gdsm的有效性。
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Exploring T-spherical fuzzy sets for enhanced evaluation of vocal music classroom teaching
Vocal music is a relatively complex skill and skill course, which not only plays an important role in music education in universities, but also cultivates students’ musical level and artistic cultivation. In the process of teaching vocal music in universities, how to improve the quality of teaching has become an important task and goal for teachers. The vocal music classroom teaching quality evaluation is a classical multiple-attribute group decision-making (MAGDM) problem. In this paper, some novel Dice similarity measures (DSM) and some generalized Dice similarity measures (GDSM) are proposed under T-spherical fuzzy sets (T-SFSs). Then, the weighted generalized Dice similarity measures (WGDSM) is used to solve the MAGDM with T-SFSs. Finally, an illustrative example for vocal music classroom teaching quality evaluation is given to demonstrate the efficiency of the GDSMs.
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