Attribute synthetic evaluation model for predicting risk of coal and gas outburst

Based on attribute mathematics theory, we propose an attribute synthetic evaluation model for predicting the risk of coal and gas outburst in this paper. Six indexes are chosen to evaluate coal and gas outburst in the model, including the gas pressure of coal seam, the initial speed of methane diffusion, the firmness coefficient, types of the coal damage, comprehensive index of D and K. The attribute measurement functions of each index are constructed based on the attribute mathematics theory, while the calculation methods of the single index attribute measurement and comprehensive attribute measurement are provided, respectively. Meanwhile, the weight of each index is given with the method of similarity figure and similarity weight, while the evaluation results are determined by the reliability code. According to the application results of the model in some coal mines in Pan County, Guizhou province, the evaluation results are basically consistent with the actual situation, which is proved that the evaluation model can be used in outburst prediction.