International Journal of New Developments in Education, 2022, 4(5); doi: 10.25236/IJNDE.2022.040507.
Tongzhenzhi Su
Institute of Control Science and Engineering, North China Electric Power University, Baoding, Hebei, China
Higher education is of great significance in a country, both for the value of the industry and for the economy. First, we use the decision tree and AHP to establish an evaluation model based on the weight of criteria layer, which can evaluate the health degree of any country. Meanwhile, we conduct sensitivity analysis on the weight results. Then, we apply our model in the United States, Japan and South Korea for evaluation, compare the evaluation results of the TOPSIS evaluation model, further verify the correctness of the model, and obtain the evaluation scores of higher education health of the three countries. In the process of modeling, the correlation between various factors is emphasized, and quantifiable values are used as the link as far as possible. Through the relationship between each layer in the decision tree, we combine it with the weight to ensure research direction of the problem and the predicted index. This research method helps us to determine the best research direction in the evaluation of the higher education system with many influencing factors, and eliminates the interference of too many factors, so that our analysis and proposed policies are more targeted. Intuitive graphs also help us analyze the problem more effectively.
Decision tree; AHP; TOPSIS model
Tongzhenzhi Su. Research on Higher Education Evaluation Based on Decision Tree and AHP. International Journal of New Developments in Education (2022) Vol. 4, Issue 5: 32-36. https://doi.org/10.25236/IJNDE.2022.040507.
[1] Xu Wenjing, Peng Liwei. Research on the Influence of American "Information Literacy Framework for Higher Education" on Information Literacy Education [J]. Library Journal, 2022, 41(02): 103-111+127.
[2] Liu Shilong, Wang Zhenglei. An Empirical Study on the Impact of my country's Economic Policy Adjustment on the Development of Higher Education——Constructing a Higher Education Quality Evaluation Model Based on the Entropy Weight TOPSIS Method [J]. China Market, 2022(04): 71-74.
[3] Pan Xingxia, Xu Yuanyuan, Zhao Ye. Regional differences, spatial effects and influencing factors of our country's higher education development [J]. Educational Monthly Academic, 2020(11): 9-18.
[4] Zhong Huirong, Gu Xueping. Black start scheme evaluation and sensitivity analysis based on fuzzy analytic hierarchy process [J]. Power system automation, 2010, 34(16): 34-37+49.
[5] Unknown. Gapminder [DB/OL]. https://www.gapminder.org/about/press-room/contact/, unknown.
[6] Unknown. Ranking of high-quality internationalpa-pers [EB/OL]. https://tieba.baidu.com/p/7175653004, 2020-12-31
[7] Yangjieni. Statistical analysis of China's GDP and the added value of the three major industries in 2020 [EB/OL]. https://www.huaon.com/channel/chinadata/681699.html,2021-01-18.
[8] Zhao Yezhu. Review of "Strategic Framework for European Cooperation in Education and Training" [J]. Comparative Education Research, 2011(07): 51-55.