Evaluation of Higher Education System Based on Fuzzy Comprehensive Evaluation

Abstract

In order to study issues related to the health and sustainability of the national higher education system, establish an
assessment system and advise countries where there is still room for improvement in the higher education system, we have
established a fuzzy comprehensive evaluation model based on the entropy right law and a smooth time series analysis model.
The entropy right method is used to solve the weight of each index from the data itself, and to get the national level of higher
education health status. In terms of national higher education sustainability, we have transformed the sustainability of the
national higher education system into a mathematical problem for evaluating the rating of the future higher education system,
and established a smooth time series analysis model. Taking CLO as an example, the development of the foundation of higher
education is put forward, and it is predicted that CLO countries will realize the leap from middle grade to good grade in five
years, but there are still challenges to be faced in implementing it. Finally, we analyzed the sensitivity of the model, considered
the impact of the sample of selected indicators on the evaluation results, and considered the 10 indicators we selected. At the
same time, we also took into account the analysis of the extraction of the main components of the number of evaluation grade
errors, through analysis, we selected the four main components of the health assessment contribution rate of up to 96.7%, with
a strong credibility. Combining the health evaluation model of higher education system and the sustainability evaluation model
of higher education system established in this paper, the selected ARM, CLO, MNG, DEU, RUS, USA. The higher education
systems in the S.A. countries were evaluated for: poor, average, excellent, good.