A Hybrid Approach for Educational Development Assessment in Higher Education with Trapezoidal Fuzzy Neutrosophic Analysis: Towards Optimized Decision-Making and Strategic Improvement

Abstract

The rapid advancement of technology has significantly driven social 
development, leading to transformative changes across various sectors of society. As a 
result, there are increasing demands for higher standards of management in the 
education sector. Consequently, reforming education management has become an urgent 
necessity. In China, higher education plays a pivotal role as the primary platform for 
cultivating and supplying talent to society. With the emergence of new challenges and 
heightened societal expectations, ensuring high-quality teaching and implementing 
effective management reforms in higher education have become critical priorities. The 
evaluation of innovative development models in higher education management can be 
approached through multiple-attribute decision-making (MADM) techniques. Among 
the recent advancements in this domain, the MULTIMOORA method and average 
models have been applied to address MADM problems. To better represent the inherent 
uncertainty in decision-making processes, trapezoidal fuzzy neutrosophic sets (TFNSs) 
have emerged as an effective tool. These sets enable a more nuanced expression of 
uncertain information, making them particularly suitable for evaluating innovative 
development modes in higher education management. This study proposes a novel 
decision-making framework: the trapezoidal fuzzy neutrosophic number 
MULTIMOORA (TFNN-MULTIMOORA) model. Additionally, the average technique is 
employed to determine attribute weights within the TFNS framework. To validate the 
effectiveness and applicability of the proposed TFNN-MULTIMOORA technique, a 
numerical example focusing on the evaluation of innovative development modes in 
higher education management is presented, along with comparative analyses. 

DOI: 10.5281/zenodo.14549808