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

被引:0
|
作者
Arifin, Muhammad Syamsul [1 ]
Widyotriatmo, Augie [1 ]
Sumari, Arwin Datumaya Wahyudi [2 ]
Juliastuti, Endang [1 ]
机构
[1] Bandung Inst Technol, Instrumentat & Control Res Grp, Bandung, Indonesia
[2] Coordinating Minist Polit Legal & Secur Affair Re, Jakarta, Indonesia
关键词
C4ISR; decision making; graph theory; opinion formation; social network;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
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页码:90 / 95
页数:6
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