摘要
为提取传感器获得的较粗糙的原始信息,运用粗集理论进行目标识别信息的处理,提出了一种采用关系表存储原始信息,通过简化关系表删去冗余信息,从而达到提取有用信息的处理方法。根据此方法,实例中通过对生成的规则进行优选,得到了简单准确的目标识别规则。此理论在信息处理中的应用,较好地满足了目标识别中原始信息处理的需求。
To mine the original crude information caught by sensors, the rough set theory is used to process the information of target identification, and a mining algorithm is established, which stores the original information with table, deletes redundant information by simplifying the table, and finally mines the useful information. Based on this algorithm, the made rules are chosen, and the simple and accurate rule of target identification is gotten by this example. The application of RS theory in information processing meets the need of original information processing in target identification.
出处
《情报指挥控制系统与仿真技术》
2005年第4期19-23,共5页
Information Command Control System and Simulation Technology
关键词
粗集
信息处理
目标识别
rough set
information processing
track identification
