基于Vague集的多传感器目标识别方法  

Method based on Vague set for multi-sensor object recognition

作　　者：万树平[1] 

机构地区：[1]江西财经大学信息管理学院,南昌330013

出　　处：《控制与决策》2009年第7期1097-1099,1103,共4页Control and Decision

基　　金：国家自然科学基金项目(10626029);江西省自然科学基金项目(0611082);江西省教育厅科技项目(GJJ08350)

摘　　要：采用Vague集来表达传感器的模糊测量信息,提出一种基于Vague集的多传感器信息融合方法.建立Vague集表达的多目标模型数据库,并定义两Vague值之间的贴近度,利用多目标规划模型客观地确定各特征的权重,根据综合贴近度给出目标识别算法.实例分析表明了算法的有效性.Vague set is used to represent the fuzzy measurement information of sensors, a fusion method for multisensor data is proposed based on Vague set. The database model of multiple objects based on Vague set is constructed, and the similarity degree between two Vague values is defined. By applying the model of multi-objective programming, the weights of characteristics are objectively obtained. The recognition algorithm of object is given according to the overall similarity degree. The example analysis shows the effectiveness of the method.

关 键 词：多传感器 数据融合 VAGUE集 贴近度 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]