矿井地质灾害评价的信息熵与未确知测度法

Information entropy and unascertained measure methods of mine geological disasters evaluation

为弥补现有矿井地质灾害评价方法存在的不足,引入基于信息熵与未确知测度的评价方法,对定性指标量化的方法进行改进,建立了基于信息熵与未确知测度的矿井地质灾害度评价模型。利用信息熵算法来确定评价指标的权重,排除人为因素的干扰;利用置信度识别准则对矿井地质灾害程度进行识别,使识别结果更精确。结果表明:信息熵与未确知测度模型计算过程简单、识别精度高,适用于矿井地质灾害评价。

Aimed at overcoming the deficiency of methods applied to existing mine geological hazard assessment, this paper introduces an evaluation method based on information entropy and unascertained measure. The method involves improving the method of quantifying qualitative indexes and developing the model designed for the mine geological hazard degree evaluation, based on information entropy and unaseertained measure. The determination of evaluation indexes＇ weights by information entropy algorithm allows the elimination of human factors interference and the identification of mine geological hazard degree, depending on confidence recognition criterion produces more accurate identification results. The result proves that information entropy and unascertained measure model with a more simple calculation process and a higher recognition accuracy is applicable to the mine geological hazard assessment.