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Opinion Formation for Decision Making Process in Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance

机译:决策过程中的意见形成,指挥,控制,通信,计算机,智力,监视和侦察

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Our life consists of decision making processes, ranging from the easy one to the hard one. In a crucial and critical situation where national politics, economics, socio-culture, and defense-security comes into the equation, the decision making could be a quite difficult task. Adding a time limit to it makes the task extremely stressful, so it can be handled only by certain people. “Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance” (C4ISR) is a framework for developing a system of systems that enables information delivery from gathered and processed data, to national defence leader and his supporting staffs to have a complete situational awareness in order to preserve the national security. The data collected by the C4ISR system is then processed and concluded to obtain the information regarding the situation being observed. The conclusions then become a foundation to the national leader as the decision maker, to choose the most suitable act in order to maintain the national stability. A C4ISR's decision should be considered carefully before it is finalized, because of its impactful consequences. This paper proposes an opinion formation model based on Hegselmann-Krause (HK) model, to be implemented in the decision making process to enable the decision maker to see the direction of the data assimilation would be. It is prospectful to help decision maker to act accordingly to the information, and at the same time, shortening data processing in the decision making.
机译:我们的生活包括决策过程,从轻松的一个到艰难的过程。在国家政治,经济学,社会文化和国防安全进入等式的一个至关重要的情况下,决策可能是一项相当艰巨的任务。向其添加时间限制使任务极其压力,因此它可以仅由某些人处理。 “指挥,控制,通信,计算机,智力,监视和侦察”(C4ISR)是开发系统系统的框架,使信息能够从收集和处理的数据提供信息,以与国防领导者和他的支持员工进行完整为了保护国家安全的情况,态势意识。然后处理并结束由C4ISR系统收集的数据以获得有关所观察到的情况的信息。然后结论成为国家领导人作为决策者的基础,选择最合适的行为,以保持国家稳定。由于其有影响力的后果,应在最终确定之前仔细考虑C4ISR的决定。本文提出了一种基于Hegselmann-Krause(HK)模型的意见形成模型,在决策过程中实施,使决策者能够看到数据同化的方向。它是帮助决策者相应地行事,同时缩短决策中的数据处理是未来的。

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