基于熵权的多传感器目标识别方法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (3): 500-502,510.

基于熵权的多传感器目标识别方法

万树平

江西财经大学信息管理学院, 江西, 南昌, 330013

收稿日期:2007-08-28 修回日期:2008-01-10 出版日期:2009-03-20 发布日期:2010-01-03
作者简介:万树平(1974- ),男,讲师,博士,主要研究方向为信息隔合,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);江西省教育厅科技项目基金(GJJ08350)资助课题

Multi-sensor target recognition based on entropy weight

WAN Shu-ping

Coll. of Information Technology, Jiangxi Univ. of Finance and Economics, Nanchang 330013, China

Received:2007-08-28 Revised:2008-01-10 Online:2009-03-20 Published:2010-01-03

摘要/Abstract

摘要： 针对具有多个特征指标的多目标识别问题,提出了一种基于熵权的多传感器信息融合方法。该方法根据熵论的基本原理定义熵权,通过引入优异度、次异度的概念,采用相对接近度来评判距离的大小,从而给出目标识别规则。该方法利用熵权避免了特征指标权重选取的主观性,提高了目标识别结果的客观性和准确性。工件识别实例验证了算法的有效性和可操作性。

Abstract: Aimming at the problem of multi-target recognition with many characteristic indexes,a new fusion method for the fuzzy muti-sensor data is proposed according to the entropy weight.The method defines the entropy weight according to the theory of entropy,introduces the notations of the optimal and suboptimal membership degrees and uses the relative approach degree to measure the distance.Hence the rule of target recognition is given.The method may avoid the subjectivity of the weight of characteristic indexes and improve the objectivity and accuracy of target recognition.The example of parts recognition proves that the method is both effective and exercisable.

中图分类号:

TP274.2

万树平. 基于熵权的多传感器目标识别方法[J]. Journal of Systems Engineering and Electronics, 2009, 31(3): 500-502,510.

WAN Shu-ping. Multi-sensor target recognition based on entropy weight[J]. Journal of Systems Engineering and Electronics, 2009, 31(3): 500-502,510.

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