Abstract: The existing mine safety evaluation methods adopt relatively simple evaluation indicators and cannot quantitatively analyze the uncertainty degree of various indicators, resulting in significant limitations in practical engineering applications. To address these problems, a comprehensive mine safety evaluation method based on entropy weight and set pair analysis method is proposed. First, a comprehensive mine safety evaluation index system consisting of 19 indicators was constructed based on four factors: human, machine, environment, and management. Then, the entropy weight method was used to automatically determine the weights according to the degree of dispersion of the safety evaluation data, which could effectively avoid subjective interference while ensuring both simplicity of calculation and objectivity and accuracy. Finally, expert scoring was used to obtain the scores of each safety evaluation indicator, and set pair analysis method was applied to calculate the degree of connection between the indicator scores and different risk levels. The weighted average method was further adopted to obtain the average connection degree between each evaluation object and different risk levels. Based on the maximum membership degree theory, the final mine safety risk level was determined. The application results showed that the calculated risk level of Xiaobaodang Mine using this method was low, which was consistent with the actual situation. The main unsafe factors of the mine were high worker fatigue rate during actual operations, low compliance rate of technical standards, slow equipment updates, and incomplete emergency management measures and untimely safety inspections. The method can provide a reference for improving mine safety in the future.