Abstract: Based on the combination weighting method and grey correlation method, a new TOPSIS evaluation model is proposed, and the compressive strength of rock burst was evaluated. The influence factors affecting rock burst, including uniaxial compressive strength of rock burst strength σ_c, tensile strength σ_t, the maximum shear stress σ_θ and elastic energy index ｗ_et and other factors were reflected in the model, and the σ_θ /σ_c, σ_c /σ_t and ｗ_et were taken as the evaluation indexes. Based on combination weighting method, we use triangular fuzzy function and entropy method to obtain the subjective and objective weights, and distribute them to these indicators, and then use related functions to characterize the correlation between samples and positive and negative ideal points, the ideal points are different rock burst intensity correlation coefficient can be calculated. The relative coefficients of the positive ideal points for different compressive strength of rock burst can be calculated. According to the maximum correlation coefficient, the prediction result of rock burst is in good agreement with the actual situation in the field.