运用Vague集进行多传感器目标识别
万树平
【期刊名称】《传感器与微系统》 【年(卷),期】2011(030)001
【摘要】针对具有多个特征指标的多传感器目标识别问题,采用 Vague 集表达目标特征的不确定信息,提出了一种新的多传感器目标识别方法.定义两 Vague 集之间的加权 Hamming 距离和相似度,建立了Vague 集表达的多传感器目标识别模型,通过最小化各目标类型的 Vague 度优化模型客观地确定了各特征的权重,利用相似度给出目标识别算法.实例分析表明方法的有效性.%Aiming at the problem of multi-sensor object recognition with multiple characteristics, Vague set is used to represent the fuzzy measurement information of object characteristic. A new method of multi-sensor object recognition is proposed. The method defines the weighted Hamming distance and similarity degree between two Vague sets, and constructs the model of object recognition represented by Vague set. The weights of characteristics are objectively determined by the optimization model of minimizing the Vague degree of each object type. The algorithm of object recognition is given according to the similarity degree. The example analysis shows that the method is effective. 【总页数】3页(58-59,78)
【关键词】多传感器目标识别;Vague集;加权Hamming距离;相似度 【作者】万树平
运用Vague集进行多传感器目标识别
