Frontiers in Educational Research, 2021, 4(8); doi: 10.25236/FER.2021.040803.
Zhouyue Shen1, Linyan Huang2, Weixiao Bian3
1College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China
2College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
3College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China
As an educational system to train high-quality citizens, higher education system plays an important role in the overall layout of the country. In order to assess the health of a country's higher education system, a variety of factors must be fully taken into account. In order to quantitatively analyze and evaluate the health status of higher education in a country, we must choose an appropriate model to solve this problem. In this paper, the analytic hierarchy process comprehensively reflects the influence of various factors on the index. In this paper, in order to build a model that can evaluate the health status of the higher education system in any country, taking into account the huge differences between countries in the world, we select the common characteristics of all countries from massive data. At the same time, in order to eliminate the numerical differences of various indicators caused by the differences in the size of different countries, and try to reflect the quality of education rather than the scale, it is necessary to preprocess the relevant data.
Higher Education, Analytic Hierarchy Process (AHP), data mining
Zhouyue Shen, Linyan Huang, Weixiao Bian. Evaluation algorithm of Health status of higher Education system based on Analytic hierarchy process. Frontiers in Educational Research (2021) Vol. 4, Issue 8: 12-15. https://doi.org/10.25236/FER.2021.040803.
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