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以隧道瓦斯突出评价为研究对象。选取地质构造、煤层厚度、隧道埋深、瓦斯含量、瓦斯压力、瓦斯放散初速度和煤的坚固性系数作为指标,建立隧道瓦斯突出评价标准;用关联函数确定指标权重;结合模糊集重心理论与最短距离识别准则,构建属性识别模型,对隧道瓦斯突出进行评价。评价结果与可拓评价结果一致,从而验证了该方法的实用性。研究表明,基于模糊集重心理论的属性识别模型用于隧道瓦斯突出评价是可行的,为隧道瓦斯突出评价提供了一种新方法。
The tunnel gas outburst evaluation as the research object. According to geological structure, thickness of coal seam, tunnel depth, gas content, gas pressure, initial velocity of coal gas emission and coal solidity coefficient, the assessment standard of gas outburst in tunnel is set up. The weight of indicator is determined by the correlation function. The shortest distance identification criteria, building attribute identification model, to evaluate the tunnel gas outburst. The evaluation results are consistent with the extension evaluation results, thus verifying the practicability of the method. The research shows that the attribute recognition model based on fuzzy set centroid theory is feasible for tunnel gas outburst evaluation, and provides a new method for gas outburst assessment in tunnels.