ABSTRACT
The TOPSIS method ranks a limited number of evaluation objects according to their closeness to the idealized objective. A commonly used and effective method in decision analysis, also known as the distance method between good and bad solutions. Applying the TOPSIS method to the evaluation standards and evaluation system of colleges and universities will help to promote the construction of colleges and universities, establish a classification system, implement the strategic concept of classification management, and push the classification evaluation and classification management of colleges and universities to a higher platform for the follow-up development direction. and reform objectives to provide performance evaluation. In this paper, Topsis method is used to evaluate and analyze five indicators, including income index, resource collection ability, academic index, internationalization index, and get the evaluation result.
- HWANG, C.L.,YOON,K. S. Multiple attribute decision making [M]. Berlin: Spring − Verlag,1981: 10.Google Scholar
- New trends in the reform of scientific research evaluation in British universities-based on the analysis of the "Scientific Research Excellence Framework 2021" [J]. Hu Ke, Chen Wuyuan, Duan Shifei. China Higher Education Research. 2019 (08)Google Scholar
- The classification management system and policy of colleges and universities: foreign experience and enlightenment [J]. Lei Jiabin. Research on Higher Education in China. 2019(07)Google Scholar
- Conflict and Harmony among the Subjects of University Evaluation in the Era of Interests Game [J]. Song Bo, Qiu Junping. Development and Evaluation of Higher Education. 2019 (01)Google Scholar
- Classification and evaluation: indicator design, operating procedures and application of results—Taking the classification and evaluation of universities in Shanghai as an example [J]. Zhang Xing. Educational Development Research. 2020(19)Google Scholar
- Zhang, L., Peng, H., Tang, L., Cao, X., Yue, X.-G. A control system of multiple stepmotors based on STM32 and CAN bus (2020) PervasiveHealth: Pervasive Computing Technologies for Healthcare, pp. 624-629. DOI: 10.1145/3436286.3436750Google ScholarDigital Library
- Zhang, L., Tang, L., Peng, H., Fang, X., Yue, X.-G. Drying control system for persimmon based on single-chip computer and PID (2020) PervasiveHealth: Pervasive Computing Technologies for Healthcare, pp. 618-623. DOI: 10.1145/3436286.3436749Google ScholarDigital Library
- Liu, W., Yue, X.-G., Tchounwou, P.B. Response to the covid-19 epidemic: The chinese experience and implications for other countries (2020) International Journal of Environmental Research and Public Health, 17 (7), art. no. 2304. DOI: 10.3390/IJERPH17072304Google Scholar
- Tu, W.-J., Yue, X.-G., Liu, W., Crabbe, M.J.C. Valuation impacts of environmental protection taxes and regulatory costs in heavy-polluting industries (2020) International Journal of Environmental Research and Public Health, 17 (6), art. no. 2070. DOI: 10.3390/ijerph17062070Google Scholar
- Zhang, J., Lu, C., Wang, J., Yue, X.-G., Lim, S.-J., Al‐makhadmeh, Z., Tolba, A. Training convolutional neural networks with multi‐size images and triplet loss for remote sensing scene classification (2020) Sensors (Switzerland), 20 (4), art. no. 1188. DOI: 10.3390/s20041188Google Scholar
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