组合赋权可变集模型在煤与瓦斯突出评价中的应用

Application of combination weights variable set model for coal-gas outburst evaluation

为准确预测煤与瓦斯突出,采用可变集理论构建煤与瓦斯突出的两级优选评价模型,将影响突出的各项指标临界值组成边界隶属等级,并选取合理的模型参数,以实现评价结果的矢量性。模型采用基于Pareto准则的组合赋权方法,综合熵权法与数据包络分析法(DEA)2种权重计算方法,既保留了客观性,又兼顾了对象间的可区分性,依据样本数据的评价结果,对突出程度进行量化分级。为验证模型及突出程度分级的可靠性,选取实际数据进行评价。结果表明,该模型适于对煤矿进行煤与瓦斯突出危险评价。

In order to accurately predict the coal-gas outburst,variable sets theory is used to build a two-stage variable preferred assessment model of coal-gas outburst.In the model,the critical values is used that affect the coal-gas outburst to form a boundary membership,and a reasonable model parameter is selected to ensure the evaluation of the vector results.The model adopts the combination weighting method based on Pareto principle,integrating entropy weight method and data envelopment analysis（DEA） method,it not only retains the objectivity,but also takes into the distinguish ability of research subjects.Then,according to the evaluation results of sample data,a quantitative grade is given for the outburst degree.To validate the reliability of the model and the quantitative grade,the actual data is selected to predict.The results show that the model can be applied to predict coal-gas outburst.