Research on Intelligent Decision Support System for Meteorological Disaster Risk Assessment Based on Artificial Intelligence

This paper proposes an intelligent decision support system for meteorological disaster risk assessment based on artificial intelligence, aiming to improve the prediction and response capabilities of meteorological disaster risks. The system introduces machine learning algorithms to conduct in-depth analysis of historical meteorological data and disaster events to achieve dynamic risk assessment of meteorological disasters. At the same time, through algorithm design and model simulation, the system can simulate the risk changes under different meteorological disaster scenarios and verify the reliability of simulation results through precise data analysis. In the model simulation stage, this paper trained and tested a large amount of historical data. The results show that the designed algorithm has significant advantages in disaster prediction accuracy and response strategy optimization. The system also integrates intelligent decision support functions to provide the best response plans for different meteorological disasters based on real-time data and simulation results. This study provides new technical means for the prediction and decision-making of meteorological disasters, and has broad application prospects.