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 Sa = (0.2195, 0.3385, 0.1444, 0.1264, 0.1713), according to the principle of maximum affiliation degree, concludes that the natural disaster public opinion risk of the province is at the level of IV, and in order to improve the natural disaster public opinion risk management, the target strategy is proposed. This study has important reference value to promote the rationalization of natural disaster public opinion risk management, so that it can better prevent natural disaster public opinion risk.