基于关联系数靶心距的混合多属性识别

doi:10.7527/S1000-6893.2014.0299

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基于关联系数靶心距的混合多属性识别

关欣, 孙贵东, 衣晓, 郭强

海军航空工程学院电子信息工程系, 烟台 264001

收稿日期:2014-07-24 修回日期:2014-10-27 出版日期:2015-07-15 发布日期:2014-10-29
通讯作者: 衣晓男, 博士, 教授, 硕士生导师。主要研究方向: 无线传感器网络, 多源信息融合。 Tel: 0535-6635673 E-mail: yxgx_gxyx@163.com E-mail:yxgx_gxyx@163.com
作者简介:关欣女, 博士, 教授, 硕士生导师。主要研究方向: 智能信息处理, 多源信息融合。 Tel: 0535-6635676 E-mail: gxtongwin@163.com;孙贵东男, 博士研究生。主要研究方向: 信息融合理论, 智能数据挖掘。 Tel: 0535-6635676 E-mail: sdwhsgd@163.com;郭强男, 博士研究生。主要研究方向: 多源信息融合, 目标识别。 Tel: 0535-6635676 E-mail: gq19860209@163.com
基金资助:
国家自然科学基金(61032001); 教育部新世纪优秀人才支持计划(NCET-11-0872)

Hybrid multiple attribute recognition based on coefficient of incidence bull's-eye-distance

GUAN Xin, SUN Guidong, YI Xiao, GUO Qiang

Department of Electronics and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China

Received:2014-07-24 Revised:2014-10-27 Online:2015-07-15 Published:2014-10-29
Supported by:
National Natural Science Foundation of China (61032001); Program for New Century Excellent Talents in University of Ministry of Education of China (NCET-11-0872)

摘要/Abstract

摘要：

针对目标的实数型、区间型和序列类型的混合多属性数据与数据库中目标的区间多属性数据的识别决策问题,提出了基于关联系数靶心距的混合多属性识别方法。定义了混合多属性数据的度量方法,提出了一种新的灰靶形成规则,以目标混合多属性数据与数据库区间数据的关联系数作为识别决策矩阵,以此形成正负靶心,计算各模式的正负靶心距,讨论了现有靶心距决策的不足,结合一种新的靶心距识别决策方法进行识别判定。结合混合多属性数据识别仿真实验,验证了所提出的新的灰靶识别方法的有效性,并将各种靶心决策方法、灰关联识别法与本文方法进行了性能对比,突出了本文方法识别决策区分度好、稳定性高的优点。

关键词: 目标识别, 关联系数, 靶心距, 靶心决策, 混合多属性

Abstract:

A hybrid multiple attribute recognition method based on coefficient of incidence bull's-eye-distance is proposed for the recognition and decision-making problem, that is, hybrid multiple attribute data of the real, interval and sequence number could not be recognized with the interval data in the database directly. The measurements for the hybrid multiple attribute data are determined and a novel grey target forming framework is presented, in which we use the coefficient of incidence of the hybrid multiple attribute data and the interval data as the recognition and decision-making matrix and the positive and negative clouts are formed based on it. Then we calculate distance of the each mode and the positive and negative clouts. Finally we discuss the shortcomings of the existing grey target decision-making methods and present a novel bull's-eye decision-making method for recognition with the bull's-eye-distance. With the multiple attribute recognition simulation experiment, we show the effectiveness of the proposed novel grey target recognition method and compare it with bull's-eye decision-making methods and the grey association recognition method, which underlines the good distinguishing performance and stability in recognition and decision-making.

Key words: target recognition, coefficient of incidence, bull's-eye-distance, bull's-eye decision, hybrid multiple attribute

中图分类号:

关欣, 孙贵东, 衣晓, 郭强. 基于关联系数靶心距的混合多属性识别[J]. 航空学报, 2015, 36(7): 2431-2443.

GUAN Xin, SUN Guidong, YI Xiao, GUO Qiang. Hybrid multiple attribute recognition based on coefficient of incidence bull's-eye-distance[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(7): 2431-2443.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于关联系数靶心距的混合多属性识别

Hybrid multiple attribute recognition based on coefficient of incidence bull's-eye-distance

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