期刊文献+

基于高冲突修正的D-S证据融合方法 被引量:4

D-S Evidence Fusion Method Based on High Conflict Correction
下载PDF
导出
摘要 对冲突证据使用D-S证据理论进行融合前,应确定证据之间冲突的程度。为此,基于信任度和虚假度对冲突进行衡量与修正。计算证据的信任度和虚假度,分别对其进行排序,将具有较小信任度和较大虚假度的证据判定为高冲突证据并加权修正,再使用Dempster组合规则进行证据融合。实验结果表明,该方法可以正确判断高冲突证据,避免融合结果与事实相悖的情况,同时提高收敛的速度和精度。 Before using D-S(Dempster-Shafer) theory for evidence fusion,the extent of the conflict among evidences should be determined. Aiming at this problem,this paper proposes a conflict measure and correction method based on trust degree and false degree. It calculates both trust degree and false degree of each evidence and sorts them respectively. The evidence with smaller trust degree and larger false degree is called high conflict evidence and done weighted correction. Then the Dempster combination rule is used for evidence fusion. Experiment results show that the proposed method can correctly judge the high conflict evidence and solve the problem that the fusion result contradicts the fact, while improving the speed and precision of convergence.
出处 《计算机工程》 CAS CSCD 北大核心 2018年第1期79-83,90,共6页 Computer Engineering
基金 国家自然科学基金(61373148 61502151) 教育部人文社科基金(14YJC860042) 山东省自然科学基金(ZR2014FL010) 山东省优秀中青年科学家奖励基金(BS2013DX033) 山东省社会科学规划研究项目(16CXWJ01 16CFXJ05) 山东省高等学校科技计划项目(J15LN02 J15LN22)
关键词 D-S证据理论 高冲突证据 组合规则 信任度 虚假度 D-S (Dempster-Shafer) evidence theory high conflict evidence combination rule trust degree false degree
  • 相关文献

参考文献9

二级参考文献95

  • 1许丽佳.DS理论在信息融合中的改进[J].系统工程与电子技术,2004,26(6):717-720. 被引量:24
  • 2邢清华,雷英杰,刘付显.一种按比例分配冲突度的证据推理组合规则[J].控制与决策,2004,19(12):1387-1390. 被引量:42
  • 3郭华伟,施文康,邓勇,陈智军.证据冲突:丢弃,发现或化解?[J].系统工程与电子技术,2007,29(6):890-898. 被引量:55
  • 4Dezert J, Smarandache F. On the generation of hyper-powersets for the DSmT[C]. Proc of Fusion 2008 Conf. Cairns, 2003: 1118-1125.
  • 5Sharer G. A mathematical theory of evidence [M]. Princeton: Princeton University Press, 1976.
  • 6Yager R. On the Dempster-Shafer framework and new combination rules[J]. Information Sciences, 1987, 41 (2) : 93-138.
  • 7Dubois D, Prade H. Representation and combination of uncertainty with belief functions and possibility measures[J]. Computational Intelligence, 1998, 4 (3) : 244-264.
  • 8Floretin Smarandache, Jean Dezert. Advances and applications of DSmT for information fusion (collected works) [M]. New York: American Research Press Rehoboth, 2006.
  • 9Murphy C K. Combining belief functions when evidence conflicts[J]. Decision Support Systems, 2000, 29 (1): 1-9.
  • 10Zadeh L. A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination[J]. AI Magazine, 1986, 7(2): 85-90.

共引文献715

同被引文献32

引证文献4

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部