Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (9): 2067-2070.

• 电子技术 • 上一篇    下一篇

Vague集在多传感器目标识别中的应用

万树平   

  1. 江西财经大学信息管理学院, 江西, 南昌, 330013
  • 收稿日期:2008-08-25 修回日期:2008-10-29 出版日期:2009-09-20 发布日期:2010-01-03
  • 作者简介:万树平(1974- ),男,副教授,博士,主要研究方向为信息融合、数据处理.E-mail:shupingwan@163.com
  • 基金资助:
    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

Application of Vague sets for multi-sensor target recognition

WAN Shu-ping   

  1. Coll. of Information Technology, Jiangxi Univ. of Finance and Economics, Nanchang 330013, China
  • Received:2008-08-25 Revised:2008-10-29 Online:2009-09-20 Published:2010-01-03

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。

Abstract: 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.

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