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Academic Journal of Mathematical Sciences, 2022, 3(1); doi: 10.25236/AJMS.2022.030104.

Research on the evaluation of ecological civilization construction based on TOPSIS


Yuting Liu

Corresponding Author:
Yuting Liu

Department of Electrical and Electronic Engineering, University of Chongqing Technology, Chongqing, 400054, China


This paper discusses the problems related to the construction of ecological civilization based on the TOPSIS algorithm model. We also launched a mathematical modeling and other related analysis on the construction of ecological civilization in some provinces and cities in China based on the latest data in 2022. Under the consideration of various factors, we finally clarified the social security, ecological economy. The four levels of indicators are ecological security and environmental friendliness. For these four feasible evaluation indicators, we firstly list the attribute measures of single indicators, secondly find out the attribute measures of multiple indicators, and finally realize the attribute grading. Since there are many differences between regions in terms of economy and geographical location in the process of ecological civilization construction, we extensively collected and analyzed the latest data on ecological civilization construction in five provinces and cities, namely Sichuan, Chongqing, Guizhou, Hubei, and Yunnan, in recent years. We conducted a detailed and specific analysis of the problems that emerged during the study of the problem, evaluated the advantages and disadvantages of the model, and concluded that the results of the operational model were consistent with the real situation and its reference value was very reliable. In addition, we generalized the model to solve other practical problems with common features.


TOPSIS, ecological civilization construction, entropy method

Cite This Paper

Yuting Liu. Research on the evaluation of ecological civilization construction based on TOPSIS. Academic Journal of Mathematical Sciences (2022) Vol. 3, Issue 1: 23-29. https://doi.org/10.25236/AJMS.2022.030104.


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