基于HFACS的非煤地下矿山人因事故分析

Analysis of Human Factors in Underground Non-Coal Mine Accidents Based on HFACS

摘要: 通过HFACS模型，总结出非煤地下矿山人因事故的五个一级指标和二十三个二级指标，运用层次分析法对测评指标进行两两比较，描述了各个一级指标和二级指标的所占权重，采用专家打分取平均值的方法构造判断矩阵，用Matlab软件计算矩阵的最大特征值，一致性指标，得出层次分析排序的结果有满意的一致性，权系数的分配是合理的。因判断矩阵依赖于判断专家的知识结构、判断水平、个人喜好等主观因素影响，通过改进的模糊一致性判断矩阵构造方法进行修正，来验证专家的打分方法是否符合实际情况，经分析得到专家给出的优先矩阵有满意的模糊一致性，使可信度和实用性大大增强。

Abstract: With HFACS model, we summarize 5 first level indexes and 23 second level indexes of human factors in underground non-coal mine accidents. We compare all the indexes by using the analytic hierarchy process (AHP) to describe the weight of each index. Next, we invoke average scoring given by experts to construct judgment matrix and calculate maximum of matrix eigenvalue and consistency index with the help of Matlab; we get a good consistency from analytic hierarchy pro- cess and the weight of each index is reasonable. Whereas, judgment matrix depends on expert’s knowledge, level, personal preferences and some other subjective factors, hence, we plan to improve the construction method of the fuzzy consistent judgment matrix to verify whether the scoring method from the experts accords with the actual situation. Finally, we find that the prior fuzzy matrix given by experts has good consistency and greatly raise the credibility and practicability.