Abstract
Overall, it is crucial for insurance companies to develop a new insurance model that can effectively handle natural disaster-related compensation. Firstly, in this paper, data related to the losses caused by natural disasters in countries around the world are collected and pre-processed. Secondly, a new insurance evaluation system under natural disasters is established by using Analytic Hierarchy Process and Delphi method. Through the analysis, it is concluded that when the risk factors exceed the threshold, the insurance company should bear the relevant risks. Then, this study analyzes various customer behaviors when insurance companies face the influence of decision. Eventually, in order to propose the final insurance model and improve the accuracy of the new insurance evaluation system, natural disaster data from 146 countries in 2022 were selected. In addition, 35 factor variables related to natural disasters were added to improve the accuracy of parameters estimated by regression equations, resulting in an optimal goodness of fit of 0.99. Through the establishment of a new insurance evaluation system, this paper can provide theoretical support and technical reference for the government to manage the insurance market under natural disasters in a more efficient and effective way.
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