Author(s)

Hengfeng Shen ¹, Henghua Shen ², Ning Wang ¹

Affiliation(s)

¹ Guangzhou Huashang College, Guangzhou, 522000, China
² Capital University of Economics and Business, Jieyang, 522000, China

Corresponding Author

Ning Wang

ABSTRACT

Since ancient times, social stability has always been an issue that people attach importance to, and changes in political, economic, cultural and other factors have brought new challenges and made the country fragile for social stability, so the study of maintaining social stability has become particularly important. This paper establishes an early warning model of social stability, first based on the topsis entropy weight method to calculate the comprehensive score of social stability in 215 countries, and at the same time encode the data based on the score to form three social stability grades of strong, medium and weak, and then establish the C4.5 decision tree model, after hyperparameter optimization through PSO, the optimal parameter social stability early warning model is established. The advantage of the decision tree model is that it plots the decision-making process for each metric. The decision tree chart can clearly display the threshold of each indicator when dividing the social stability level, which is conducive to early warning of the indicators of the social stability index system.

KEYWORDS

Social stability, Early warning model, Topsis, Decision tree

CITE THIS PAPER

Hengfeng Shen, Henghua Shen, Ning Wang. An Early Warning Model for Social Stability Based on the PSO-C4.5 Decision Tree Model. Advances in Computer, Signals and Systems (2023) Vol. 7: 110-118. DOI: http://dx.doi.org/10.23977/acss.2023.070416.

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