Risk Exploration Based on LSMT Model and AHP Fuzzy Comprehensive Evaluation Model

This paper explores the prediction and assessment methods of extreme weather risk and its impact on different regions based on the LSMT (Long- and Short-Term Memory Network) model and the AHP (Hierarchical Analysis Method) fuzzy comprehensive evaluation model. First, the LSMT model was used to predict the future extreme weather risk in some regions and assess the risk level of the regional insurance industry. Second, this paper constructs an investment location decision model, combines multidimensional indicators, uses LSMT to predict future trends, and scores regional development potential. Finally, using the AHP fuzzy comprehensive evaluation model, it constructs four primary indicators and 12 secondary indicators, and makes multi-level suggestions for the protection of landmarks.