Exploring T-spherical fuzzy sets for enhanced evaluation of vocal music classroom teaching

Article type: Research Article

Authors: Lu, Yani

Affiliations: College of Music, Guangxi Arts University, Nanning, Guangxi 530022, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: College of Music, Guangxi Arts University, Nanning, Guangxi 530022, China. E-mail: [email protected].

Abstract: 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.

Keywords: Multiple attribute group decision making, Dice similarity measures (DSMs), generalized Dice similarity measures (GDSMs), T-spherical fuzzy sets, vocal music classroom teaching quality evaluation

DOI: 10.3233/KES-230151

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 27, no. 3, pp. 259-271, 2023