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Fuzzy inference system for the efficiency assessment of hold baggage security control at the airport

机译:用于机场托运行李安全控制效率评估的模糊推理系统

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One of the factors determining the aviation safety and security is the baggage security control system. It constitutes protection against placing objects and materials that could be used to perform an act of unlawful interference on board of an aircraft. The aim of this work was to create a model for assessment of airport baggage security control efficiency understood as the capability of detecting items prohibited in transport. Especially the human factor and the technical factor had to be taken into account collectively in the assessment of efficiency. Including many subjective factors such as operator's assessment, tendency to make mistakes and the control process organisation method required using means adequate to the present informational uncertainty. In this case a hierarchical fuzzy inference system was used and it was implemented as the RBES computer system. Its important element is the completely new method of assessing the actual detectability of the prohibited items. The method is based on the analysis of the frequency of mistakes (called type A mistakes) consisting in not indicating a baggage, in which the screened image showed a prohibited item, as dangerous. The equally important element is including a few possible control process organisation options, so far not mentioned in the literature, in the analysis. The experiments on the model allowed to assess the baggage security control efficiency in real conditions and indicate the right control process organisation option. (C) 2015 Elsevier Ltd. All rights reserved.
机译:决定航空安全性的因素之一是行李安全控制系统。它构成了防止将可能用于进行非法干扰的物体和材料放置在飞机上的保护措施。这项工作的目的是创建一个评估机场行李安全控制效率的模型,该模型被理解为检测运输中禁止物品的能力。在评估效率时,尤其必须综合考虑人为因素和技术因素。包括许多主观因素,例如操作员的评估,犯错的倾向以及使用足以解决当前信息不确定性的手段所要求的控制过程组织方法。在这种情况下,使用了层次模糊推理系统,并将其实现为RBES计算机系统。它的重要元素是评估违禁物品实际可检测性的全新方法。该方法基于对错误频率(称为A型错误)的分析,该错误频率包括不将行李表示为危险,其中所显示的图像显示出被禁止的物品,这是危险的。同样重要的元素是在分析中包括一些迄今为止尚未在文献中提及的控制过程组织选项。该模型的实验可以评估实际条件下的行李安全控制效率,并指出正确的控制过程组织选择。 (C)2015 Elsevier Ltd.保留所有权利。

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