Abstract: With the gradual improvement of people's living standards, their pursuit of art is also constantly increasing. Vocal music is not only an important course in the training process of music majors but also an important factor in improving personal qualities and expanding one's own abilities. In the process of vocal teaching, there are many factors that affect the quality of teaching, among which the teacher-student factor is one of the important influencing factors. How to enhance the role of teacher-student factors in improving the quality of vocal teaching has become one of the main directions for the development of vocal teaching. The vocal teaching quality evaluation could be looked as the multiple-attribute group decision-making (MAGDM). Spherical fuzzy sets (SFSs) could portray the uncertainty and fuzziness during the vocal teaching quality evaluation more effectively and deeply. In this paper, based on bidirectional projection, we shall propose the spherical fuzzy bidirectional projection (SFBP) technique and spherical fuzzy weighted bidirectional projection (SFWBP) technique. First of all, the definition of SFSs is introduced. Furthermore, the SFBP technique and SFWBP technique with SFSs are proposed based on the bidirectional projection. Based on the developed SFWBP technique, the MAGDM technique is organized and all computing steps are organized. Finally, a numerical example for vocal teaching quality evaluation is employed to verify the SFWBP technique and some comparisons are employed to verify advantages of SFWBP technique with SFSs.

Lei Huang. “Modified SFWBP Framework for Vocal Teaching Quality Evaluation Based on the MEREC Technique”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.6 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150612

@article{Huang2024,
title = {Modified SFWBP Framework for Vocal Teaching Quality Evaluation Based on the MEREC Technique},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150612},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150612},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Lei Huang}
}