TOPSIS-Based Multi-Criteria Decision-Making Using 2-Tuple Linguistic Neutrosophic Numbers: A Comprehensive Evaluation of Industry-Education Integration in Applied Undergraduate Universities

The quality evaluation of university-industry integration aims to assess the effectiveness of collaboration between universities and industries by evaluating the quality of talent cultivation, curriculum design, and practical teaching. This evaluation ensures a close alignment between education and industry needs. It not only focuses on enhancing students' professional skills but also assesses the sustainability and innovation of collaborative projects, promoting educational reform in universities, improving students' employability, and supplying highly qualified talent to society and industry. The quality evaluation of industry-education integration in applied undergraduate universities is a multiple-attribute group decision-making (MAGDM) approach. The TOPSIS and average approach are put forward by MAGDM. 2-tuple linguistic neutrosophic numbers (2TLNNs) could excavate the uncertainty more effectively and deeply for quality evaluation of industry education integration in applied undergraduate universities. In this study, the Opinion Weight Criteria Method (OWCM) is put forward weight numbers along with 2TLNNs and 2TLNN combined TOPSIS (2TLNN-CTOPSIS) approach based on 2TLNN Hamming distance (2TLNNHD) and 2TLNN Euclidean distance (2TLNNED) is put forward MAGDM. At last, numerical examples for quality evaluation of industry-education integration in applied undergraduate universities were put forward and some comparisons are put forward to illustrate the 2TLNN-CTOPSIS approach.