The evaluation of rural residents’ life quality based on BP-TOPSIS model

doi:10.14088/j.cnki.issn0439-8114.2022.22.039

Abstract

Abstract: On the basis of the establishment of the evaluation system, the index weights were determined by AHP and entropy weight method, and then the evaluation results by TOPSIS were input into BP neural network for training. The model was used to evaluate the quality of life of rural residents in Jiangsu Province from 2005 to 2019. The results showed that the quality of life of rural residents in Jiangsu Province was improved in recent years, but there were still some potential problems. However, the overall development trend was good. The model could scientifically and effectively evaluate the quality of life of rural residents, and the evaluation results could provide a reference for the formulation and revision of policies related to rural people’s livelihood.

Key words: quality of life, BP neural network, entropy weight TOPSIS method, analytic hierarchy process （AHP）

CLC Number:

F327

TIAN Ming-hao. The evaluation of rural residents’ life quality based on BP-TOPSIS model[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(22): 229-233.

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