Because of the complicated non-linear relation between the coalmine gas outburst and its affecting factors,it is difficult to establish an accurate detection model with traditional mathematical method.The fuzzy neural network and D-S evidence theory were organically combined to suggest an evaluation strategy for the coalmine gas outburst risk level.After perprocessing the evaluation parameters data flow,the first-step fused result was obtained by using fuzzy neural network and normalized as a basic probability assignment function.Each output value was taken as the basic belief assignment value,then through D-S evidence theory fusion to get the second fused result.The simulation results show that the model is reliable and precise and the security level can be accurately predicted with the proposed method.