基于冲突表示的冲突证据融合方法  

Conflict Evidence Fusion Method Based on Conflict Representation

作　　者：张燕君[1] 龙呈[1] 李达[1] 

机构地区：[1]燕山大学信息科学与工程学院河北省特种光纤与光纤传感重点实验室秦皇岛066004

出　　处：《模式识别与人工智能》2013年第9期853-858,共6页Pattern Recognition and Artificial Intelligence

基　　金：河北省科学技术研究与发展计划应用基础研究计划重点研究基础资助项目(No.11963545D)

摘　　要：为有效解决冲突证据的组合问题,文中提出一种证据组合方法.该方法首先在一种新的冲突表示的基础上,量化证据之间的关联性,进而计算各个证据的权重,并与平均权重进行比较,识别出冲突证据或较低可信度证据.对冲突证据或较低可信度证据进行折扣修正,最大限度地利用原始证据源信息,最后利用D-S组合规则进行组合.仿真实例结果表明,该方法与其它典型方法相比体现出良好效果,收敛快、可靠性高.In order to effectively solve the conflict evidence combination problems, an evidence combination method is proposed. Based on a new conflict representation and the association of quantitative evidence, the weight of each evidence is calculated. Then compared with average weight, the conflict evidence or low credibility of evidence is identified and the discount correction is made, and the use of the original evidence source information is maximized. Finally, the D-S combination rule is employed. The experimental results show that the proposed method has good performance, fast convergence and reliability compared with other typical methods.

关 键 词：组合方法 冲突表示 证据折扣 信息融合 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]