摘要
多源信息融合的一个主要应用方向是目标识别,但是各传感器测量到的目标属性值常常是相关的、不独立的,因此对各属性信息的融合比较困难。基于多属性决策模型(MADM )和D S证据理论提出了加权融合的方法,并给出了权重系数的计算方法和权重灵敏性分析方法,介绍了利用条件概率加权进行目标识别的方法。
Target recognition is an important branch of application in multi-source information fusion. The attribute informations measured by each sensor are often correlated and dependent and therefore it is frequently a hard task to fuse data from different sensors. A novel weighted combination method based on the MADM and D-S evidence theory was put forward and the methods of establishing weight coefficients and analyzing their sensitivity were given in this paper. Moreover, the weighted conditional probability is also introduced into target recognition.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2005年第3期338-342,共5页
Acta Armamentarii
基金
河南省自然科学基金资助 (0 2 110 5 0 5 0 0 )
关键词
控制理论
信息融合
目标识别
多属性决策模型
证据理论
control theory
data fusion
target recognition
multi-attribute decision model
evidence theory
