基于Vague集的多属性采煤工艺选取

Multi-attribute mining craft selection on the base of Vague sets

针对采煤工艺优选的决策信息具有多属性和模糊性等特点,提出采用Vague集理论建立决策模型,给出的记分函数全面考虑了未知度对决策的影响,属性因素的权重利用模糊层次分析法确定,为了提高决策的准确性和安全性,模型采用由多名专家参与,通过方案综合记分值和精确度值最终实现决策分析.利用模型对内蒙古某煤矿进行了实例分析,结果表明该方法具有较强的适用价值,可为采煤工艺优选的决策提供理论依据.

Because the decision information of mining craft selection is multi-attribute and fuzzy, proposed to build decision model by using Vague sets theory, the score function given considers the influence of hesitancy degree on the decision, the weight of attribute factors is determined by using fuzzy hierarchy analysis method, in order to improve accuracy and safety of the decision, many experts are contained in the model, the decision analysis is finally got by using comprehensive score value and accuracy degree value. At last, analyzed a coal mine in Inner mongolia by using the model, analysis results indicated that this method is practical, it provides theory base for the decision of mining craft purification technology.