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Academic Journal of Mathematical Sciences, 2023, 4(4); doi: 10.25236/AJMS.2023.040407.

Birth Population Prediction and Influencing Factors Analysis Based on Gray Verhulst Mathematical Model

Author(s)

Jing Ran

Corresponding Author:
Jing Ran
Affiliation(s)

Mathematics Teaching Department, Sichuan University Jinjiang College, Meishan, Sichuan, 620000, China

Abstract

This study is based on the grey Verhulst mathematical model and utilizes the birth population data of Chengdu City from 2013 to 2022 to predict the future five-year birth population in Chengdu City. Four factors influencing the birth population are selected: per capita disposable income, average proportion of elderly population, number of kindergartens, and number of hospitals and health clinics. The entropy weight method and grey relational analysis method are employed to calculate the grey weighted relational degree, thereby analyzing the impact of each factor on the birth population.

Keywords

Grey Verhulst Model, Grey Correlation Analysis, Entropy Weight Method, Birth Population

Cite This Paper

Jing Ran. Birth Population Prediction and Influencing Factors Analysis Based on Gray Verhulst Mathematical Model. Academic Journal of Mathematical Sciences (2023) Vol. 4, Issue 4: 45-50. https://doi.org/10.25236/AJMS.2023.040407.

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