基于TOPSIS和熵权法的社会稳定预警模型构建研究

H. Xu, Hongyue Chen, Pei Ye
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摘要

:本文选取2012 - 2021年20个发展中国家和发达国家的数据作为样本,基于TOPSIS和熵权法构建社会稳定预警模型。社会稳定预警模型的评价结果由高到低分为无警、轻警、中警、重警、巨警五个等级。以白俄罗斯为例,运用社会稳定预警模型确定白俄罗斯属于警察国家,结合该模型通过政治、经济、社会等因素四个方面指出颜色革命失败的原因,并判断未来社会稳定从警政向重警政的趋势,在此基础上从政治、经济、社会等方面对白俄罗斯进行分析。本文对防范颜色革命,促进社会稳定具有一定的参考意义。
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Research on the construction of social stability early warning model based on TOPSIS and entropy weight method
: 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.
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