计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (16): 147-149.DOI: 10.3778/j.issn.1002-8331.2010.16.043

• 数据库、信号与信息处理 • 上一篇    下一篇

Vague集在多传感器信息融合中的应用

董九英   

  1. 江西财经大学 信息管理学院,南昌 330013
  • 收稿日期:2009-05-27 修回日期:2009-08-14 出版日期:2010-06-01 发布日期:2010-06-01
  • 通讯作者: 董九英

Application of Vague set in multi-sensor information fusion

DONG Jiu-ying   

  1. College of Information Technology,Jiangxi University of Finance and Economics,Nanchang 330013,China
  • Received:2009-05-27 Revised:2009-08-14 Online:2010-06-01 Published:2010-06-01
  • Contact: DONG Jiu-ying

摘要: 采用Vague集来表达传感器的模糊测量信息,提出了一种基于Vague集的多传感器信息融合方法。该方法利用Vague值的记分函数,构造传感器测量值的有序加权平均对,再结合诱导有序加权平均算子确定传感器的权重,根据综合记分函数给出了信息融合方法。仿真实例验证了方法的有效性和具有较高的可信度。

关键词: 多传感器, 数据融合, Vague集, 记分函数, 诱导有序加权平均算子

Abstract: Vague set is used to represent the fuzzy measurement information of sensors,a new fusion method for multi-sensor data is proposed based on Vague set.The method uses the score function to construct the ordered weighted average pairs,combines the induced ordered weighted average operator to determine the weights of sensors.The fusion method is given by the overall score function.The simulated example proves that the method is effective and has high credit degree.

Key words: multi-sensor, data fusion, Vague set, score function, Induced Ordered Weighted Average operator(IOWA)

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