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多源信息的加权证据理论融合识别方法

向阳辉 张干清 庞佑霞 陈蕾 谢邵辉

向阳辉, 张干清, 庞佑霞, 陈蕾, 谢邵辉. 多源信息的加权证据理论融合识别方法[J]. 机械科学与技术, 2016, 35(3): 381-385. doi: 10.13433/j.cnki.1003-8728.2016.0310
引用本文: 向阳辉, 张干清, 庞佑霞, 陈蕾, 谢邵辉. 多源信息的加权证据理论融合识别方法[J]. 机械科学与技术, 2016, 35(3): 381-385. doi: 10.13433/j.cnki.1003-8728.2016.0310
Xiang Yanghui, Zhang Ganqing, Pang Youxia, Chen Lei, Xie Shaohui. A Weighted Fusion Method for Recognizing Multi-source Information Based on Weighted Evidence Theory[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(3): 381-385. doi: 10.13433/j.cnki.1003-8728.2016.0310
Citation: Xiang Yanghui, Zhang Ganqing, Pang Youxia, Chen Lei, Xie Shaohui. A Weighted Fusion Method for Recognizing Multi-source Information Based on Weighted Evidence Theory[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(3): 381-385. doi: 10.13433/j.cnki.1003-8728.2016.0310

多源信息的加权证据理论融合识别方法

doi: 10.13433/j.cnki.1003-8728.2016.0310
基金项目: 

国家自然科学基金项目(51475049)、校人才引进科研基金项目(12003,12004)、湖南省"十二五"重点建设学科资助项目及湖南省教育厅资助科研项目(15C0123,12A016,14C0094)资助

详细信息
    作者简介:

    向阳辉(1981-),讲师,硕士,研究方向为故障诊断、决策识别,xiangyanghui@163.com

A Weighted Fusion Method for Recognizing Multi-source Information Based on Weighted Evidence Theory

  • 摘要: 为了有效融合待识别系统的多源证据信息,提高模式识别的准确性,提出了一种多源证据信息加权融合的模式识别方法。该方法基于不同来源证据对辨识框架中各命题识别具有不同可靠性这一事实,将各证据对各命题识别的正确率转换成加权系数,通过研究证据理论的加权改进,构建加权融合的识别体系,保证各证据在模式识别过程中存在的不确定性经过融合后能够最大限度削弱,从而从理论上降低了模式识别的不确定性。实例分析表明,多源信息加权融合后的识别结果可信度明显增大、识别正确率显著提高,充分验证了该融合识别方法能够有效提高模式识别的准确性。
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出版历程
  • 收稿日期:  2014-05-09
  • 刊出日期:  2016-03-05

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