Comprehensive Evaluation and Stepwise Regression Model of Light Pollution in Topsis Based on Entropy Weight Method

Qikai Sun; Jiaming Yao

doi:10.54097/hset.v59i.10079

Authors

Qikai Sun
Jiaming Yao

DOI:

https://doi.org/10.54097/hset.v59i.10079

Keywords:

Light pollution, Topsis, Entropy method, Regression analysis, VIF test.

Abstract

Light pollution is a phenomenon that affects our environment. It is of great significance to make a quantitative analysis of light pollution and establish an evaluation system for energy saving, environment improvement and social and economic benefits. In order to establish a reasonable evaluation system, based on a comprehensive evaluation model of light pollution risk level based on the entropy weight method of Topsis analysis, combined a multiple linear regression model to test the significance of the indicator data and performed the White's test and the VIF test for multiple covariance on the model.Then this paper used the standard inverse stepwise regression model to solve the linear regression model, constructed a comprehensive evaluation model of light pollution.

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