Academic Journal of Mathematical Sciences, 2023, 4(2); doi: 10.25236/AJMS.2023.040204.
Hailing Xu1, Hongyue Chen2, Pei Ye3
1Big Data School, Guangzhou City University of Technology, Guangzhou, Guangdong, 510850, China
2International Business School, Guangzhou City University of Technology, Guangzhou, Guangdong, 510850, China
3Management School, Guangzhou City University of Technology, Guangzhou, Guangdong, 510850, China
This paper selects the data of 20 developing countries and developed countries from 2012 to 2021 as samples, and constructs a social stability early warning model based on TOPSIS and entropy weight method. The evaluation results of the social stability early warning model are divided into five grades from high to low: no police, light police, middle police, heavy police and huge police. Choose belarus as a case, the use of social stability early warning model determine belarus belongs to the police countries, combined with the model through political, economic, social and other factors four aspects points out the cause of the color revolution failure, and judge in addition to the future social stability from the police to heavy police trend, based on this to belarus from political, economic, social and other aspects. This paper has some reference significance for preventing color revolution and promoting social stability.
TOPSIS, Entropy Weight Method, Early Warning Model of Social Stability, Color Revolution
Hailing Xu, Hongyue Chen, Pei Ye. Research on the construction of social stability early warning model based on TOPSIS and entropy weight method. Academic Journal of Mathematical Sciences (2023) Vol. 4, Issue 2: 26-34. https://doi.org/10.25236/AJMS.2023.040204.
[1] Huang Yinghong. On the diversification of modes of political change—Take the comparison of political change experience in ten countries or regions as an example [J]. Journal of Sun Yat-sen University (Social Science edition), 2012, 52 (04): 148-156.
[2] Yang Zhi. Research on social stability index System and Evaluation Index system in the Transition period [J]. Legal Commentary, 2014, 32 (03): 138-145.
[3] Huang X. Research on the construction of virtual simulation resource system for vocational education based on deep learning[C]// 2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM). 0.
[4] Luo Xinyang. Early-warning mechanism for urban social stability [J]. Journal of Ningbo Radio and Television University, 2005 (04): 76-79.
[5] Ellis L . Why Financial Stability Matters, and What We Can Do About It[J]. corporateName=Reserve Bank of Australia, 2014.
[6] Kan Daoyuan. The new trend and new characteristics of "color revolution" and its political influence —— Also on preventing major political security and ideological risks [J]. Ideological and Theoretical Education Guide, 2019 (07): 16-21.