中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (7): 48-52.doi: 10.16265/j.cnki.issn1003-3033.2017.07.009

• 安全系统学 • 上一篇    下一篇

HVB惯性度的MPHMADM评价

牛莉霞 副教授, 刘谋兴, 李乃文 教授, 黄敏 副教授   

  1. 辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105
  • 收稿日期:2017-03-06 修回日期:2017-05-08 发布日期:2020-11-26
  • 作者简介:牛莉霞 (1983—),女,山西吕梁人,博士,副教授,主要从事组织行为、人因工程与系统工程方面的教学、科研工作。E-mail:nlx8941@126com。
  • 基金资助:
    国家自然科学基金青年项目资助(51504126,51404125);辽宁省教育厅项目(LJYR007);教育部人文社会科学基金青年基金资助(12YJCZH192)。

Evaluation of HVB' inertia degree based on MPHMADM

NIU Lixia, LIU Mouxing, LI Naiwen, HUANG Min   

  1. School of Business Management, Liaoning Technology University,Huludao Liaoning 125105,China
  • Received:2017-03-06 Revised:2017-05-08 Published:2020-11-26

摘要: 为有效评价矿工习惯性违章行为(HVB),在多期混合多属性决策方法(MPHMADM)基础上,从矿工个体、组织管理、作业环境安全度3方面确定矿工HVB惯性度驱动因素及不同因素属性。首先引入动态混合加权聚合算子(DHWA),集成煤矿不同时期的HVB惯性度评价值;然后采用逼近理想解排序法(TOPSIS),对HVB惯性度驱动因素进行惯性度评价并排序;最后以大安山煤矿为例进行方法应用,结果表明:MPHMADM评价结果与管理专家实际评价结果一致。根据排序结果,HVB干预可重点从组织管理方面入手,其次是矿工个体、作业环境安全度。

关键词: 习惯性违章行为(HVB), 惯性度, 驱动因素, 多期混合多属性决策(MPHMADM);模糊数

Abstract: In order to evaluate HVB effectively, driving factors of HVB' inertia degree and their attributes were identified by using the method of MPHMADM from three aspects-the miner individual, organization management and safety degree of working environment. The dynamic hybrid weighted aggregation (DHWA) was used to integrate HVB' inertia degree values for different periods of coal mine. The technique for order performance by similarity to ideal solution (TOPSIS) was used to evaluate and sort driving factors of HVB' inertia degree. Example analysis of Daanshan Coal Mine shows that the result of MPHMADM evaluation is consistent with the result of management experts'evaluation, and that HVB intervention should be made from the aspect of organization management, followed by miner individual, and safety degree of working environment .

Key words: habitual violation behavior(HVB), inertia degree, driving factor, multi-period hybrid multi-attribute decision making(MPHMADM), fuzzy number

中图分类号: