摘要
针对具有多个特征指标的多目标识别问题,提出了一种基于Vague集的多传感器信息融合方法。该方法定义熵权客观地得到了特征的权重,将目标的各特征值转化为Vague值表达,根据Vague值的距离,给出目标识别方法。工件识别实例验证了算法的有效性和实用性。
Aiming at the recognition problem of multi-targets which have many characteristic indexes, a new fusion method for the fuzzy multi-sensor data based on Vague sets is proposed. The method defines the entropy weight to objectively obtain the weights of characteristic indexes and transforms the characteristic values of objects into Vague value representation. The method of object recognition is given according to the distance between Vague values. The example of parts recognition proves that the method is both effective and practicable.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第9期2067-2070,共4页
Systems Engineering and Electronics
基金
国家自然科学基金(10626029)
江西省自然科学基金(0611082
2007GQS0074)
江西省教育厅科技项目(GJJ08350)资助课题
