煤企安全投入评价的G-INFNs-MCGDM方法及应用

doi:10.16265/j.cnki.issn1003-3033.2017.02.025

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (2): 139-144.doi: 10.16265/j.cnki.issn1003-3033.2017.02.025

煤企安全投入评价的G-INFNs-MCGDM方法及应用

赵宝福¹ 教授, 张超¹ 经济师, 贾宝山² 教授, 翟翠霞¹ 教授, 任海芝¹ 教授, 郭建威³ 讲师

1 辽宁工程技术大学工商管理学院,辽宁葫芦岛 125105
2 辽宁工程技术大学安全科学与工程学院,辽宁阜新 123000
3 辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛 125105

收稿日期:2016-11-01 修回日期:2017-01-08 出版日期:2017-02-28 发布日期:2020-11-22
作者简介:赵宝福 (1957—),男,辽宁昌图人,教授,博士生导师,工商管理学院院长,长期从事企业管理、产业资源与配置等方面的教学科研和管理工作。E-mail: zhaobaofu2008@163.com。
基金资助:
国家自然科学基金资助(51404128);国家“十二五”科技支撑计划项目(2011ZX05041-003);辽宁省社会科学基金资助( L12DJY064);国家科技支撑计划项目(2013BAH12F01)。

G-INFNs-MCGDM method for evaluating safety input in coal enterprises and its application

ZHAO Baofu¹, ZHANG Chao¹, JIA Baoshan², ZHAI Cuixia¹, REN Haizhi¹, GUO Jianwei³

1 School of Business Administration, Liaoning Technical University, Huludao Liaoning 125105, China
2 School of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China
3 School of Electronics & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China

Received:2016-11-01 Revised:2017-01-08 Online:2017-02-28 Published:2020-11-22

摘要/Abstract

摘要： 为提高煤炭资源利用效率、保障企业安全生产正常运行,提出将灰色(G)理论、直觉正态模糊数(INFNs)及多准则群决策(MCGDM)相结合,用以合理确定安全投入结构的G-INFNs-MCGDM方法。首先,基于关联直觉正态模糊Bonferroni混合几何(R-INFNBHG)算子计算灰关联主权重、辅助权重及多维复合评价权重。然后,通过平衡多维复合权重与专家均值评价权重得到优化多维复合评价权重。由各层因素的优化多维复合评价权重计算总体评价权重,并依此对安全投入进行排序分析。以某煤企为例,计算分析结果表明,该煤企应当重视安全投入效率;工业卫生及教育宣传投入对其安全投入整体水平有显著影响;G-INFNs-MCGDM方法能够统筹灰关联主权重及各类辅助权重,协调多维复合权重与专家均值评价权重,因此有助于优化安全投入结构。

关键词: 煤炭企业, 安全投入, 直觉正态模糊数(INFNs), 灰色(G), 多准则群决策(MCGDM)

Abstract: For the sake of improving utilization efficiency of resources and ensuring the safety in production, G-INFNs-MCGDM method was established for determining the reasonable structure of safety inputs by combining the G theory,INFNs and MCGDM. Firstly, the grey incidence weights, auxiliary weights and multi-dimensional compound weights were calculated by using the Relational INFNs Bonferroni Hybrid Geometric (R-INFNBHG) operator. Secondly,the multi-dimensional compound weights and average weights of expert evaluation were used to calculate the optimal multi-dimensional compound weights.The weights of factors in overall evaluation were calculated by optimal multi-dimensional evaluation weights of each hierarchy, and the safety inputs were sorted and analyzed by using weights of factors in overall evaluation. The method was applied to a certain coal enterprise in China.The results show that the coal enterprise should pay attention to safety inputs efficiency,that both industrial hygiene input and education input have an important effect on the overall safety input,and that the G-INFNs-MCGDM can orchestrate grey incidence weights and auxiliary weights and coordinate the multi-dimensional compound weights and average weights of expert evaluation, so it helps to optimize the structure of safety inputs.

Key words: coal enterprises, safety input, intuitionistic normal fuzzy numbers(INFNs), gray (G), multi-criteria group decision making(MCGDM)

中图分类号:

X915.4

赵宝福, 张超, 贾宝山, 翟翠霞, 任海芝, 郭建威. 煤企安全投入评价的G-INFNs-MCGDM方法及应用[J]. 中国安全科学学报, 2017, 27(2): 139-144.

ZHAO Baofu , ZHANG Chao , JIA Baoshan , ZHAI Cuixia , REN Haizhi , GUO Jianwei. G-INFNs-MCGDM method for evaluating safety input in coal enterprises and its application[J]. China Safety Science Journal, 2017, 27(2): 139-144.

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煤企安全投入评价的G-INFNs-MCGDM方法及应用

G-INFNs-MCGDM method for evaluating safety input in coal enterprises and its application

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