Neutrosophic Sets and Systems
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.
Recommended Citation
He, Heng. "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." Neutrosophic Sets and Systems 78, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol78/iss1/13
