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A Virtual Model For Currency Tracking Using Fuzzy Inference Rule In A Unique Identity Environment

机译:在唯一身份环境中使用模糊推理规则的货币跟踪虚拟模型

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In this technological era, large number of banking transactions is done by the customer itself through online. Tracking of all these transactions & maintaining the records of currency with respect to every individual citizen is a very difficult task. Even though many financial institutions devised their plan for better monitoring and coordination, we try to propose a mechanism to enhance the existing system using Unique Identity and Fuzzy Inference Rules. The idea is to synchronize the database related to all financial transaction of all financial institute (e.g. Bank, Insurance ,Tax etc.) using UID system . The UID System provides unique identification number with the help of UID A (Unique Identity Authority) to individual citizen. In this paper, a virtual model is described to track down suspicious account using Fuzzy Inference rule in UID system. The advantage of this model is to easily identify the source of black money and also to prevent corruption in any growing nations.
机译:在这项技术时代,客户本身通过在线完成了大量银行交易。 跟踪所有这些交易与维护每一个公民的货币记录是一项非常艰巨的任务。 尽管许多金融机构设计了更好的监测和协调计划,但我们试图提出一种机制,使用独特的身份和模糊推理规则来提高现有系统。 这些想法是使用UID系统将与所有金融机构的所有金融交易(例如银行,保险,税项等)同步数据库。 UID系统在UID A(唯一身份权限)到单个公民的帮助下提供唯一的标识号。 在本文中,描述了一种虚拟模型来使用UID系统中的模糊推理规则跟踪可疑帐户。 该模型的优势是轻松识别黑钱的来源,也可以防止任何不断增长的国家的腐败。

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