Natural Disaster Public Opinion Risk Management Based on Fuzzy Theory

Based on the relevant theoretical foundation, a preliminary natural disaster public opinion risk evaluation index system is formulated, which consists of 4 first-level indicators, 15 second-level indicators, and 49 third-level indicators, and correlation analysis is utilized to screen the preliminary evaluation indexes, and after the screening of the indexes, the final system consists of 4 first-level indicators, 14 second-level indicators, and 23 third-level indicators.Indicator system.Taking a certain province as the research object, we synthesize the hierarchical analysis algorithm and fuzzy theory to explore the risk of natural disaster public opinion in a certain province.The natural disaster public opinion risk assessment result based on fuzzy theory is 69.48, while the corresponding affiliation matrix 0.2195 0.