煤矿井下工人安全特质综合评价模型

Study on the Comprehensive Evaluation Model of Coal Mine Workers' Safety Characteristics

根据人因事故在煤矿事故致因中占比很大的现状,针对不同的主体数量描述了两种对煤矿井下工人安全特质进行综合评价的模型:一是结合模糊综合评价和BP神经网络的适用于单个员工评价的模糊神经网络综合评价模型;二是结合层次分析法和灰靶决策方法的适用于多个员工优选的灰靶比较模型。结果发现,模糊神经网络综合评价模型和灰靶比较模型分别针对个体和群体评价提供了客观、定量的方法。

According to the present situation that human accidents account for a large part,aiming at different number of subjects,this paper describes two kinds of comprehensive evaluation model of safety characteristics coal miners. One is fuzzy neural network model applying to a single employee evaluation,which combines fuzzy comprehensive evaluation and BP neural network. The other is comparison model of grey target suiting to optimize multiple employees,which links AHP and decision method of grey target. The analytical result shows that fuzzy neural network evaluation model and the grey target model respectively provide objective and quantitative methods for individual and group assessment.