Neutrosophic Sets and Systems
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.
Recommended Citation
Ge, Bin. "A Hybrid Approach for Educational Development Assessment in Higher Education with Trapezoidal Fuzzy Neutrosophic Analysis: Towards Optimized Decision-Making and Strategic Improvement." Neutrosophic Sets and Systems 79, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol79/iss1/27
