模糊推理和聚类分析的信息融合应用研究  被引量:3

Application Research of Informational Fusion on Fuzzy theory and Cluster analysis

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作  者:郭向勇[1] 傅国强[1] 吕利昌[1] 赵怡滨[1] 曹璞[1] 

机构地区:[1]深圳职业技术学院信息技术应用研究所,广东深圳518055

出  处:《微计算机信息》2010年第13期128-129,95,共3页Control & Automation

摘  要:针对采用多传感器信息融合在可视化远程监控系统中的应用,提出了一种基于聚类分析和模糊推理算法。运用多传感器信息融合模型建立二级数据处理单元系统,对环境信息进行多方面监测。聚类分析和模糊推理算法为准确地判断环境状态提供依据,进而达到校园公共环境的监控和预警。The multi-sensor informational fusion of remote vision and control systems theory critically concludes that fuzzy and cluster theories are inaccurate and conflicting. The article concludes that multi-sensor fusion which is monitored under strict conditions, provides the reliable source of information which can be obtained so as to provide accurate information for its purpose under ambience conditions. The examined system possesses features of strong controlling capability in decision making process, and achieves the aim of control and early warning detection.

关 键 词:多传感器 信息融合 数据冗余 模糊推理 聚类分析 

分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]

 

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