Evaluation of mine ventilation safety based on GLM-Grey Clustering-Fuzzy method

Mine ventilation system is complex nonlinear system, which is random, fuzzy and changeable in characteristics. In order to carry out the risk degree assessment of mine ventilation safety effectively, based on the GLM-Grey Clustering-Fuzzy theory, the new evaluation model was established. Every indicator of the risk degree assessment of mine ventilation’s cumulative effect weight and influence weight were calculated by using the SAS statistical analysis and grey clustering, further gained the risk degree assessment of mine ventilation, at the same time, and analyzed the sensitive factor of each index, obtained the effective measures on preventing the risk of index. The results indicates that this model can obtain the risk degree assessment of mine ventilation more accurately, and that provide a scientific reference for mine ventilation management.