Fuzzy comprehensive evaluation of rock burst risk based on combined subjective and objective weighting

During deep coal mining, the rock mass is subjected to high in-situ stress and strong mining disturbances. Its mechanical properties are more sensitive than those of shallow rock mass, which can easily induce rock burst disasters, seriously restricting the safety and efficient production of the mine. To address this problem, this study takes the 718 working face of Hongyang No. 3 Mine as the engineering background, integrates theoretical analysis, mathematical modeling, and field application to deeply analyze the main factors of rock burst. And establishes a rock burst risk evaluation mathematical model based on subjective and objective combination weighting. The research results show that the main control factors for rock burst include natural geological factors, mining technology factors and organizational management factors, with weights of 0.62322, 0.23949 and 0.13729 respectively. Among these, rock burst tendency, coal pillar width, and prevention and control investment are identified as the most influential factors. Based on the analytic hierarchy process and the entropy weight method, the subjective and objective weights are combined, and the comprehensive weights are obtained. On this basis, a multi-level fuzzy comprehensive evaluation model for rock burst risk is constructed. After evaluation, the 718 working face is classified as a medium rock burst risk level, which is consistent with field observations, thereby verifying the reliability and applicability of the proposed model. This study effectively integrates expert experience, test results, and actual on-site conditions, overcomes the one-sidedness of a single weighting method, and thereby provides a scientific basis for the quantitative risk evaluation and optimization of rock burst prevention strategies under similar mining conditions.