Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 11, 2023


Pages


DOI

Article

Construction and demonstration of early-warning evaluation index system of poverty return from the perspective of rural revitalization

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Authors

Jing Fang Affiliation:
Henan Vocational and Technical College, Zhoukou, Henan, 450046, China.


Abstract

In order to achieve comprehensive poverty eradication, this paper analyzes the general structure of the poverty return early warning mechanism and the operation idea under the perspective of rural revitalization and explores the methods and systems of emergency decision-making for poverty return early warning. At the same time, based on the dynamics and scientific quantifiability, we have constructed the poverty return early warning indicator system, established the alarming degree of poverty return early warning, and combined the principal component analysis method and fuzzy comprehensive evaluation method. The empirical design is carried out on the basis of the design of the poverty return warning evaluation index system; the weight coefficients are derived from the principal component factors, and the fuzzy comprehensive score is calculated. The results show that the overall poverty return risk score is S={0.21, 0.27, 0.19, 0.18, 0.15}, and the risk early warning fuzzy evaluation value is 0.27, which is 87.4 points, and belongs to mild risk.


Keywords

Rural revitalization, Principal component analysis, Fuzzy comprehensive evaluation, Return to poverty early warning mechanism, Evaluation index system, 68T05


Citation

Fang, J. (2023). Construction and demonstration of early-warning evaluation index system of poverty return from the perspective of rural revitalization. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01090

Published by: Engineering Journals

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