Frontiers in Educational Research, 2023, 6(6); doi: 10.25236/FER.2023.060616.
Tianhao Jiang, Ying Feng, Fengling Zhu
Nanjing University of Aeronautics and Astronautics, Nanjing, China
In order to solve the problem of evaluating the quality of a country's higher education, this thesis establishes a higher education evaluation system. By selecting eight indicators such as higher education capital investment, higher education gross enrollment rate and higher education fairness and etc. And then using the grey clustering evaluation model and analytic hierarchy process, whereby this thesis designs a higher education evaluation system, which can comprehensively and objectively evaluate the quality of a country's higher education. Next, the thesis collects data and then uses the established evaluation system to evaluate the higher education level of the United States, Germany, China and India, and comes to the conclusion that the higher education quality of the United States, Germany is excellent and China is middle and India is poor, which is basically consistent with the public understanding. For that reason, system proves that it has achieved good results.
Mathematical modeling, Higher Education Quality Evacuation System, Grey Clustering Evaluation Model, Analytic Hierarchy Process, Central Point Mixing Possibility Degree Function
Tianhao Jiang, Ying Feng, Fengling Zhu. Higher education evaluation system based on grey clustering evaluation model. Frontiers in Educational Research (2023) Vol. 6, Issue 6: 74-78. https://doi.org/10.25236/FER.2023.060616.
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