Abstract
The problem of light pollution, which arises from the excessive or poor use of artificial light sources, has become a global issue. Identifying and solving the light pollution problem will have a positive impact on human and ecological environment. In this paper, the entropy-TOPSIS method addresses the degree of influence of each factor on light pollution and finds appropriate improvement measures based on the characteristics of data that may affect light pollution factors. The entropy-weighting method is used to score different areas with different degrees of light pollution, and then the weights of each factor are obtained, and the TOPSIS method is used to score the degree of light pollution in each area based on the superiority and inferiority distances. Finally, the light pollution evaluation model is obtained.
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