Study on logistics system safety based on neural network and fuzzy probability

被引：0
|
作者：
Li, B [1 ]
Chen, DF [1 ]
Zhang, XC [1 ]
Li, WF [1 ]
机构：
[1] Wuhan Univ Technol, Inst Logist Engn, Wuhan, Hubei, Peoples R China
来源：
DCABES 2004, Proceedings, Vols, 1 and 2 | 2004年
关键词：
safety; neural network; fuzzy probability; fault tree; logistics;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Based on man-machine the fault tree. of Logistics System safety is obtained. When calculating Logistics system accident probability, the traditional fault tree can't handle the imprecise incidents efficiently, this paper wields the related knowledge of fuzzy probability and fault tree to simulate. A neural network model is used to distribute the system reliability due to date being fuzzy, nonlinear and inclusive of noise. It is no doubt that this will make the probability calculation for Logistics system accident more reliable and accurate.
引用
收藏
页码：780 / 783
页数：4
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