Attribute Recognition System for Assessing Gas Outburst Risk in Tunnels in Non-Coal Strata

As the gas source in non-coal strata is relatively difficult to be determined, the gas emission in non-coal formation has the characteristics of randomicity and inhomogeneity. As a result, it is more difficult to prevent gas outburst in non-coal strata. A system for assessing gas outburst risk in tunnels in non-coal strata is established using attribute recognition method. Based on the principle of typicality and operability, eight factors controlling gas outburst in non-coal strata were selected as the risk evaluation indices. The attribute measure functions were constructed to calculate single index attribute measures for each evaluation index. The Fuzzy Analytical Hierarchy Process was applied to determine weights for evaluation indices. Then, a confidence criterion was applied to recognize the risk level of gas outburst in tunnels after the multiple indices synthetic attribute measure was obtained. The proposed system was applied to assess the gas outburst risk in a tunnel in non-coal strata. The risk assessment results were in agreement with the practical situations, indicating that the gas outburst risk assessment system proposed in this paper was with applicability. The gas outburst risk assessment system proposed in this paper is of great importance for assessing the risk and preventing the occurrence of gas outburst in tunnels in non-coal strata.