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[1]毕娟,李希建.基于博弈论组合赋权灰靶模型的煤矿安全综合评价[J].中国安全生产科学技术,2019,15(7):113-118.[doi:10.11731/j.issn.1673-193x.2019.07.018]
　BI Juan,LI Xijian.Comprehensive evaluation of coal mine safety based on grey target model with combination weighting of game theory[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(7):113-118.[doi:10.11731/j.issn.1673-193x.2019.07.018]
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基于博弈论组合赋权灰靶模型的煤矿安全综合评价
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年7期
页码:
113-118
栏目:
职业安全卫生管理与技术
出版日期:
2019-07-31

文章信息/Info

Title:
Comprehensive evaluation of coal mine safety based on grey target model with combination weighting of game theory
文章编号:
1673-193X(2019)-07-0113-06
作者:
毕娟1; 2; 3;  李希建1; 2; 3
（1.贵州大学 矿业学院，贵州 贵阳 550025；
2.复杂地质矿山开采安全技术工程中心，贵州 贵阳 550025；
3.贵州大学 瓦斯灾害防治与煤层气开发研究所，贵州 贵阳 550025）
Author(s):
BI Juan1; 2; 3;  LI Xijian1; 2; 3
(1. Mining College, Guizhou University, Guiyang Guizhou 550025, China;
2. Engineering Center for Safe Mining Technology Under Complex Geologic Condition, Guiyang Guizhou 550025, China;
3. Institute of Gas Disaster Prevention and Coalbed Methane Development of Guizhou University, Guiyang Guizhou 550025, China)
关键词:
煤矿安全; 安全评价; 博弈论组合赋权; 灰靶模型
Keywords:
coal mine safety;  safety evaluation;  combination weighting of game theory;  grey target model
分类号:
TD791
DOI:
10.11731/j.issn.1673-193x.2019.07.018
文献标志码:
A
摘要:
为了合理准确地评价煤矿安全现状，建立了基于博弈论组合赋权耦合灰靶决策的煤矿安全评价模型。运用层次分析法、熵权法和神经网络算法单独计算出各个指标的权重，再根据最优线性组合系数确定博弈论组合赋权。以河南义马煤业5组矿井安全现状为例，运用博弈论组合赋权耦合灰靶决策计算矿井偏离靶心度，同时将该模型的评价结果与层次分析法耦合灰靶决策模型、熵权灰靶决策模型和神经网络算法耦合灰靶决策模型的评价结果进行对比分析。结果表明：博弈论组合赋权耦合灰靶决策模型的评价结果与煤矿实际安全情况基本一致，且该模型相较其他模型的评价结果更加精准简便。
Abstract:
In order to evaluate the current status of coal mine safety reasonably and accurately, an evaluation model of coal mine safety based on the coupling of combination weighting of game theory and grey target decisionmaking was established. The analytic hierarchy process method (AHP), entropy weight method (EN) and neural network algorithm (ANN) were used to calculate the weights of each index separately, and the combination weights of game theory were determined according to the optimal linear combination coefficient. Taking the safety status of five groups of mines in Yima coal industry of Henan Province as example, the degrees of deviation from target of the mines were calculated by using the coupling of combination weighting of game theory and grey target decisionmaking. At the same time, the evaluation results of this model were compared with those of AHP coupled with grey target decisionmaking model, entropy weight grey target decisionmaking model and neural network algorithm coupled with grey target decisionmaking model. The results showed that the evaluation results of the combination weighting of game theory coupled with grey target decisionmaking model were basically consistent with the actual safety situation of coal mines, and they were more simple and accurate than those of other models.

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备注/Memo

备注/Memo:
收稿日期： 2019-04-21
* 基金项目： 国家自然科学基金面上项目(51874107)；贵州省科技计划项目(黔科合平台人才［2018］5781号)
作者简介： 毕娟，硕士研究生，主要研究方向为矿井通风网络优化、矿山技术等。
通信作者： 李希建，博士，教授，主要研究方向为煤矿安全技术及矿井瓦斯防治等。
更新日期/Last Update: 2019-08-07