A Novel Approach to Assessing Art Education Teaching Quality in Vocational Colleges Based on Double-Valued Neutrosophic Numbers and Multi-Attribute Decision-Making with Tree Soft Sets

Abstract

To promote stable and sustainable growth in vocational education, it is crucial to innovate 
and adapt the teaching methods of art education to align with modern educational trends. A 
comprehensive analysis of the art education curriculum is necessary to drive reform and modernize 
teaching methodologies, ensuring the continued relevance and effectiveness of art instruction. By 
updating art education, students can enhance their aesthetic appreciation, develop a refined 
understanding of high-quality artworks, and experience consistent growth in their artistic development. 
Moving beyond traditional teaching models is essential for the ongoing advancement of art education 
in vocational colleges. The evaluation of teaching quality in these institutions is approached using a 
well-established Multi-Attribute Decision Making (MADM) framework. Recently, the CoCoSo 
method, combined with average techniques, has been applied to address the complexities of MADM. 
To manage uncertain or ambiguous information during the evaluation process, Double-Valued 
Neutrosophic Sets (DVNSs) have also been utilized. This study introduces the integration of the 
CoCoSo method with DVNSs, leading to the development of the Double-Valued Neutrosophic Number 
CoCoSo (DVNN-CoCoSo) method for MADM. We used the Tree Soft Set (TSS) with the CoCoSo 
method to deal with the main and sub criteria to obtain the relation between them (DVNN-TSS
CoCoSo). To illustrate the practical application of this approach, a numerical example is provided to 
assess the quality of art education in vocational colleges. The DVNN-TSS-CoCoSo method offers a 
significant improvement in evaluating teaching quality, marking an important step toward refining 
evaluation processes and enhancing educational strategies in vocational settings. 

DOI: 10.5281/zenodo.14248915