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基于ANP-MEA模型的煤矿工人不安全行为评价 被引量:10

Evaluation of Unsafe Behavior of Coal Mine Workers Based on ANP-MEA Model
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摘要 为更好的解决煤矿工人不安全行为评价模型中关联性和模糊性问题,从管理因素、作业环境、机械设备、员工自身素质、班组因素5个层次构建煤矿工人不安全行为评价指标体系,采用网络层次分析法研究指标之间的相互联系,并计算指标权重。将网络层次分析法与物元可拓模型相结合,对煤矿员工不安全行为影响因素进行评价。运用该评价模型对L煤矿员工不安全行为进行等级评定,结果表明,L煤矿员工不安全行为评价等级为Ⅱ级,员工不安全行为状态为良好,评定结果与煤矿实际相一致,说明该模型具有一定的可行性与科学性。 In order to solve the problem of relevance and fuzziness in coal mine workers' unsafe behavior evaluation model better,this paper constructs the evaluation index system of coal mine workers' unsafe behavior from five aspects including management factors, working environment, mechanical equipment, staff quality and team and group factors. We use analytic network process to study the interaction among indicators, and determine the weight of indicators. The analytic network process and matter-element extension model are combined to evaluate the factors that affect the unsafe behavior of coal mine workers. Applying this evaluation model to assess the unsafe behavior of workers in L Coal Mine, the results show that the grade of unsafe behavior of employee in L Coal Mine is Grade Ⅱ, the employee unsafe behavior status is good, and the result of assessment is consistent with the actual Coal Mine, which indicates that the model has a certain feasibility and scientific.
作者 安景文 赵嘉丽 王金鹤 张冉冉 AN Jingwen;ZHAO Jiali;WANG Jinhe;ZHANG Ranran(Department of Management,China University of Mining and Technology(Beifing),Beijing 100083,China)
出处 《煤矿安全》 CAS 北大核心 2018年第8期303-306,309,共5页 Safety in Coal Mines
关键词 煤矿 班组因素 不安全行为 网络层次分析 物元可拓 coal mine factors of team and group unsafe behavior analytic network process matter-element extension
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