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军用危险品航空运输装卸保障风险预测 ac
引用本文:颉正阳,安红,陈思杨.军用危险品航空运输装卸保障风险预测 ac[J].海军航空工程学院学报,2017,32(3):313-318.
作者姓名:颉正阳  安红  陈思杨
作者单位:空军勤务学院学员一大队,江苏徐州 221000,空军勤务学院基础部,江苏徐州 221000,空军勤务学院航空军交运输指挥系,江苏徐州 221000
摘    要:针对军用危险品航空运输装卸保障过程中的风险问题,根据军用危险品航空运输装卸保障理论与实际,梳理出影响军用危险品航空运输装卸保障的因素,建立了影响因素层次模型。针对影响因素的不确定性,将模糊集理论应用到贝叶斯网络中去,建立了基于模糊贝叶斯网络的军用危险品航空运输装卸保障风险预测的数学模型。最后,将实例中的节点证据输入到模糊贝叶斯网络中,对保障风险进行推理,验证了模型的有效性和实用性。

关 键 词:风险预测  军用危险品  航空运输  装卸保障  模糊贝叶斯网络

Risk Prediction of the Loading and Unloading Guarantee of Military Dangerous Materials Air Transportation
XIE Zhengyang,AN Hong and CHEN Siyang.Risk Prediction of the Loading and Unloading Guarantee of Military Dangerous Materials Air Transportation[J].Journal of Naval Aeronautical Engineering Institute,2017,32(3):313-318.
Authors:XIE Zhengyang  AN Hong and CHEN Siyang
Institution:Air Force Logistics College Cadet Brigade , Xuzhou Jiangsu 221000, China,Air Force Logistics College Department of Basic, Xuzhou Jiangsu 221000, China and Air Force Logistics College Department of Airway Military Transportation Command System, Xuzhou Jiangsu 221000, China
Abstract:Aiming at the risk during process of the loading and unloading guarantee in military dangerous materials airtransportation, the influencing factors of the loading and unloading guarantee in military dangerous materials air transporta.tion were teased out based on the theory and reality of the loading and unloading guarantee, with building a hierarchicalmodel of the influencing factors. For the uncertainty of the influencing factors,fuzzy set theory was applied to the Bayesiannetwork, and the mathematical model of risk prediction in the loading and unloading guarantee in military dangerous mate.rials air transportation. Finally, the evidences of nodes in a case study were input into the fuzzy Bayesian network, reason.ing the risk of support and testing the validity and practicality of the model.
Keywords:risk prediction  military dangerous materials  air transportation  loading and unloading guarantee  fuzzy Bayes  ian network
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