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基于模糊认知图的通用航空事故机理分析
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中图分类号:

X949

基金项目:

中国民航飞行学院面上资助项目(J2021-015);中国民航飞行学院青年基金资助项目(Q2020-029);民航局安全能力资助项目(14002600100017J003);四川省教育厅科研资助项目(18ZB0683);中国民用航空飞行学院"十九大"专项研究资助项目(SJD2018-27);民航飞行技术与飞行安全科研基金资助项目(F2015KF01)


Analysis on the cause prediction of general aviation accidents based on fuzzy cognitive map
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    摘要:

    随着通用航空业迅猛发展,通用航空事故数逐年增多,为了更有效地预测和防止事故发生,减少生命财产的损失,对事故原因预测显得尤为重要。通过对2006—2015年10年间通用航空事故原因的统计与分类,建立起模糊认知图预测模型,依据模糊认知图的计算方法得到系统达到稳定之后各个影响因素的状态值,通过关联度的计算,得到通用航空事故影响因素的排序,最终得到导致通用航空事故的主要因素。使用实例进行验证对比分析后发现该方法对于通用航空事故原因预测是可行的,通过该方法可以成功地预测通用航空事故发生的主要原因。

    Abstract:

    With the rapid development of general aviation industry, the number of general aviation accidents increases year by year.In order to effectively predict and prevent accidents,reduce the loss of life and property, it is particularly important to predict the cause of accidents.Through the statistics and classification of the causes of general aviation accidents in the ten years from 2006 to 2015, the fuzzy cognitive map prediction model is established.According to the calculation method of fuzzy cognitive map, the state values of each factor can be obtained after the system reaches the stability.By calculating the correlation degree, the order of influencing factors of general aviation accidents is obtained, and finally the main factors leading to general aviation accidents are obtained.It is found that this method is feasible to predict the causes of general aviation accidents after verification and analysis with examples, and the main causes of general aviation accidents can be successfully predicted by this method.

    参考文献
    [1] 王一姮. 通用航空公司安全运行保障能力模型研究[D]. 天津:中国民航大学, 2014. Wang Y H. Research on model of safe operation assurance capability of general aviation airline[D]. Tianjin:Civil Aviation University of China, 2014. (in Chinese)
    [2] 王春林, 罗凤娥. 通用航空运行保障体系建设[C]//第十三届中国科协年会第22分会场[XC半字线.tif;Z*5;Y*5,JZ]中国通用航空发展研讨会论文集, 天津:中国科技,2011. Wang C L, Luo F E. Construction of general aviation operation security system[C]//Proceedings of the 22nd session of the 13th China association for science and technolog annual conference-China general aviation development symposium, Tianjing:China A ssociation for Science and Technology, 2011.
    [3] 陈勇刚. 我国通用航空安全管理体系建设研究[J]. 中国安全生产科学技术, 2012, 8(6):216-220. Chen Y G. Study on safety management system of general aviation in China[J]. Journal of Safety Science and Technology, 2012, 8(6):216-220. (in Chinese)
    [4] Shyur H J. A quantitative model for aviation safety risk assessment[J]. Computers & Industrial Engineering, 2008, 54(1):34-44.
    [5] Papageorgiou E I, Salmeron J L. A review of fuzzy cognitive maps research during the last decade[J]. IEEE Transactions on Fuzzy Systems, 2013, 21(1):66-79.
    [6] Stylios C D, Groumpos P P. Modeling complex systems using fuzzy cognitive maps[J]. IEEE Transactions on Systems, Man, Cybernetics-Part A:Systems and Humans, 2004, 34(1):155-162.
    [7] Kosko B. Fuzzy cognitive maps[J]. International Journal of Man-Machine Studies, 1986, 24(1):65-75.
    [8] 韩慧健, 韩佳兵, 张锐. 基于模糊认知图的物流需求预测模型研究[J]. 系统工程理论与实践, 2019, 39(6):1487-1495. Han H J, Han J B, Zhang R. Study on logistics demand forecasting model based on fuzzy cognitive map[J]. Systems Engineering-Theory & Practice, 2019, 39(6):1487-1495. (in Chinese)
    [9] 贺强, 徐艺, 马尧. 基于FCM的无人机飞行安全风险评估[J]. 民航学报, 2018, 2(1):31-34. He Q, Xu Y, Ma Y. UAS flight safety risk assessment based on fuzzy cognitive maps[J]. Journal of Civil Aviation, 2018, 2(1):31-34. (in Chinese)
    [10] 邱慧, 黄解宇, 董亚兰. 基于灰色系统模型的山西省物流需求预测分析[J]. 数学的实践与认识, 2016, 46(13):66-70. Qiu H, Huang X Y, Dong Y L. Prediction analysis of logistics demand in Shanxi Province based on grey system model[J]. Mathematics in Practice and Theory, 2016, 46(13):66-70. (in Chinese)
    [11] 陈勇刚. 基于灰熵分析法的航空公司维修安全质量影响因素分析[J]. 安全与环境学报, 2013, 13(1):267-270. Chen Y G. Analysis of the influential factors of safety and quality maintenance of airline based on the grey relation entropy method[J]. Journal of Safety and Environment, 2013, 13(1):267-270. (in Chinese)
    [12] 朱晓丽. 通用航空公司安全保障能力指标体系构建[D]. 广汉:中国民用航空飞行学院, 2017.Zhu X L. Build on index system of safe assurance capability of general aviation airline[D].Guanghan:Civil Aviation Flight University of China,2017. (in Chinese)
    [13] 崔军辉, 魏瑞轩, 崔建汝, 等. 基于FCM的UAV事故成因预测方法[J]. 系统工程理论与实践, 2015, 35(12):3258-3264. Cui J H, Wei R X, Cui J R, et al. Prediction method of UAV accident causations based on FCM[J]. Systems Engineering-Theory & Practice, 2015, 35(12):3258-3264. (in Chinese)
    [14] 周长春. 航空安全管理[M]. 成都:西南交通大学出版社, 2011. Zhou C C. Aviation safety management[M]. Chengdu:Southwest Jiaotong University Press, 2011. (in Chinese)
    [15] Lin R J. Using fuzzy dematel to evaluate the green supply chain management practices[J]. Journal of Cleaner Production, 2013, 40:32-39.
    [16] 林松, 刘小弟, 朱建军, 等. 基于模糊认知图的航天商业发射服务竞价影响因素分析[J]. 运筹与管理, 2019, 28(3):158-165. Lin S, Liu X D, Zhu J J, et al. Analysis of the influencing factors of the bidding for aerospace commercial launching service based on fuzzy cognitive map[J]. Operations Research and Management Science, 2019, 28(3):158-165. (in Chinese)
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赵赶超,陈勇刚,雷晶晶.基于模糊认知图的通用航空事故机理分析[J].重庆大学学报,2022,45(11):117-126.

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  • 收稿日期:2019-08-11
  • 在线发布日期: 2022-12-01
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