An Effective Triangular Fuzzy Neutrosophic Approach for Decision-Making in Efficiency Evaluation of Resource Allocation in University Innovation and Entrepreneurship Education

The evaluation of the efficiency of resource allocation in innovation and entrepreneurship education in universities aims to assess the effectiveness of the use and distribution of resources in this field. By analyzing the allocation of funds, human resources, curriculum design, and practical bases, the evaluation determines whether these resources effectively promote students' innovation abilities and entrepreneurial awareness. Efficient resource allocation should maximize educational investment and student outcomes, improve the quality of education, and enhance societal adaptability, thereby providing strong support for cultivating innovative talent. The efficiency evaluation of resource allocation in university innovation and entrepreneurship education is multiple-attribute decision-making (MADM). Recently, the simple multi-attribute rating technique (SMART) method has been established to cope with MADM issues. The triangular fuzzy neutrosophic sets (TFNSs) are established as a tool for characterizing uncertain data during the efficiency evaluation of resource allocation in university innovation and entrepreneurship education. In this manuscript, the triangular fuzzy neutrosophic number SMART (TFNN-SMART) method is established to solve the MADM under TFNSs. In the end, a numerical case study for efficiency evaluation of resource allocation in university innovation and entrepreneurship education is given to validate the proposed method.