煤矿安全预评价的可变模糊识别方法

Variable Fuzzy Recognition Method for Safety Pre-evaluation of Coal Mine

煤矿安全预评价涉及诸多不确定信息,用传统评价方法难以获得可靠的评价结果。为此,将可变模糊模式识别模型与方法引入煤矿安全领域,提出了煤矿安全预评价的可变模糊识别方法。可变模糊识别方法首先根据指标特征值与指标标准特征值矩阵确定样本的级别上下限,然后利用可变模糊模式识别模型对样本进行识别,得到样本在各级别下的相对隶属度,进而计算级别特征值,并以此为依据进行评价。将该方法应用于黄陵双龙煤矿,得出该矿井的安全等级。结果表明:可变模糊识别方法较文献中方法可更准确地给出安全性等级评价结果,为煤矿安全预评价提供一条新的途径。

The safety pre-evaluation of coal mine involves a lot of uncertain information,it is difficult to obtain the reliable evaluation result by traditional methods.Therefore,the model and corresponding method of variable fuzzy pattern recognition was introduced into the field of coal mine safety,variable fuzzy recognition method of coal mine safety pre-evaluation was presented.Firstly the upper and lower bound of rank of samples was calculated by matrix of index feature value and index standard feature value.Then relative membership degree of samples was calculated by model of variable fuzzy pattern recognition.Further,rank feature value was obtained,and evaluation was made.Lastly,the method was applied to the safety evaluation of Shuanglong mine in Huangling,and its safety rank was gained.The results show that variable fuzzy recognition method can more accurately work out the safety rank of coal mine than the method in literature.This work provides a new approach for safety pre-evaluation of coal mine.