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Web Based Approach for Discovering and Prevention of Customs Violations by Application of Emotional Model

机译:基于Web的情感模型海关违法行为发现与预防方法

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The problem of fraud in the application of customs regimes is particularly relevant at the moment, which requires timely measures to protect the financial interests of the countries. An approach for prevention and discovering of the frauds in customs operations, based on emotional model, is proposed and experimental Web application is developed. The emotional model is briefly described/presented. Monitoring on customs operations is based on perceptual information (information collected during the operation), which is captured and stored, in our case as emotions (information with different aspects related to every customs operation). By using the rules of the emotional model information about feelings and mood is calculated. As an addition to the emotional model, a decision helping module is proposed and realized - a filler which generate alert in case of overlapping of value/values of emotions, feelings or mood. On this way the complicated task of monitoring of all customs operations is reduced to monitor some of them, where the doubt level increase and/or there are sure symptoms for to qualify the customs operation as a fraud. Developed Web application is presented, its usefulness is discussed and tasks for the future development are defined.
机译:海关制度实施中的欺诈问题目前尤其重要,这需要及时采取措施保护各国的财政利益。提出了一种基于情感模型的海关欺诈预防和发现方法,并开发了实验性的Web应用程序。本文简要介绍了情感模型。海关操作监控基于感知信息(操作期间收集的信息),在我们的案例中,这些信息被捕获并存储为情绪(与每个海关操作相关的不同方面的信息)。通过使用情绪模型的规则,计算出关于情绪和情绪的信息。作为对情绪模型的补充,提出并实现了一个决策帮助模块——一个填充器,在情绪、感觉或情绪的值/值重叠时生成警报。通过这种方式,监控所有海关业务的复杂任务减少到监控其中一些业务,怀疑程度增加和/或存在确定的症状,以将海关业务定性为欺诈。介绍了开发的Web应用程序,讨论了它的有用性,并定义了未来开发的任务。

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