With the increasing global climate change and the increasing impact of extreme weather on property owners and the insurance industry, the risks of category II groups in extreme weather have attracted more and more attention. This paper constructs a complete insurance risk assessment system from the meteorological, local basic conditions and humanities and art dimensions. The entropy weight method and ahp are used to solve the objective weight and subjective weight respectively, and then the comprehensive weight of each index is solved according to the least square optimization combination algorithm. Taking New York City as an example, this paper uses the constructed evaluation system to score it, and puts forward relevant suggestions for the municipal government according to the scores.

Yuhao Zhang, Qihui Jing, Guangchen Zhang. Insurance risk assessment system foradaptation to extreme weather. Academic Journal of Business & Management (2024) Vol. 6, Issue 6: 213-219. https://doi.org/10.25236/AJBM.2024.060632.

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