Innovative Assessment of Dance Teaching Effectiveness Using the ELECTRE Approach and Neutrosophic HyperSoft Sets for Comprehensive Performance Analysis

The evaluation of dance teaching quality in universities is a process of assessing the effectiveness of dance courses through multiple dimensions. The focus is on examining students' improvement in dance skills, artistic expression, mastery of theoretical knowledge, teaching methods, and the learning environment. By using scientific evaluation methods, such as multi-attribute decision-making models, the quality of teaching is quantified and optimized, promoting students' overall development and the improvement of teaching practices. The evaluation of dance teaching quality is often considered a multiple attribute group decision-making (MAGDM) problem. In this paper, the ELECTRE method is proposed to address MAGDM using single-valued neutrosophic sets (SVNSs). We used the HyperSoft set (HSS) with the SVNSs to deal with various values in the criteria. First, the score function of SVNSs and the average method are applied to determine the attribute weights. Second, the optimal solution is identified by ELECTRE method. Finally, a numerical example of the dance teaching quality evaluation is provided to demonstrate the effectiveness of the proposed method.