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为了明确影响煤矿生产物流安全的众多因素、准确预测煤矿生产物流的安全状态,提出一种基于灰色理论的煤矿生产物流安全状态指标构建方法。根据煤矿生产物流各子系统的运行状况,建立了主观层次型评价指标;在运用灰色聚类减少指标相关性的同时,通过灰色关联分析,筛选优化指标体系。这种方法不仅避免了人为主观性的干扰,而且实现了指标体系的精简优化。为下一步开展煤矿生产物流安全状态评价打下基础。
In order to clearly identify the many factors that affect the safety of coal production logistics and accurately predict the safety status of coal mine production logistics, a gray theory based approach to construct safety indicators of coal production logistics is proposed. According to the operation status of each subsystem of coal mine production logistics, subjective level evaluation index was established. While using gray clustering to reduce the correlation of indicators, the index system was screened and optimized by gray relational analysis. This method not only avoids the subjective interference, but also realizes the simplification and optimization of the index system. Which laid the foundation for the next step to carry out the evaluation of coal mine production logistics safety status.