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Architecture of Computing with Words Based Information Technology for Proactive Aviation Security Control

机译:基于词的信息技术计算的主动航空安全控制体系结构

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Level of aviation security (AS) of an airport depends on the state of the system for countering acts of unlawful interference by intruders into airports (SCAUI), which includes airport security officers, as well as and technical devices for inspection of passengers, hand luggage, and baggage, security systems to protect the airport's controlled areas. In this article, we introduce basic principles of the information technology (IT), whose application allows to increase the airport AS by improving the quality of proactive control over the state of SCAUI. The developed IT is built on the basis of the client-server architecture and the SCAUI model. The authors propose to perform proactive control by consecutively solving direct and inverse problems. The direct problem is a problem of assessing the overall level of the AS based on the verbal assessments of individual factors. The inverse problem is the problem of identifying those factors, which have predominant influence on the AS. At the core of the SCAUI model and all computing involved in solving both direct an inverse problems lie ideas from the computing with words domain. Each word is represented as an interval type-2 fuzzy set, and their aggregation is performed using linguistic weighted average.
机译:机场的航空安全(AS)级别取决于打击入侵者对机场的非法干扰行为(SCAUI)的系统状态,其中包括机场安全员以及用于检查乘客,手提行李的技术设备以及行李,安全系统以保护机场的管制区域。在本文中,我们介绍了信息技术(IT)的基本原理,其应用可以通过提高对SCAUI状态的主动控制的质量来增加机场的AS。开发的IT是基于客户端-服务器体系结构和SCAUI模型构建的。作者建议通过连续解决正向和逆向问题来执行主动控制。直接的问题是根据各个因素的口头评估来评估AS的整体水平。反问题是确定那些对AS有主要影响的因素的问题。 SCAUI模型的核心以及解决这两个直接问题的所有计算都来自字域计算的思想。每个单词都表示为一个间隔2型模糊集,并且使用语言加权平均值对其进行汇总。

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