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

Abstract

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.

DOI: 10.5281/zenodo.14142390