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计算机工程

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基于高冲突修正的D-S证据融合方法

孟媛媛 1,2,徐连诚 1,2,任敏 1,3,王燕飞 1,2   

  1. (1.山东师范大学 信息科学与工程学院,济南 250358; 2.山东省分布式计算机软件新技术重点实验室,济南 250358; 3.山东财经大学 数学与数量经济学院,济南 250014)
  • 收稿日期:2016-12-16 出版日期:2018-01-15 发布日期:2018-01-15
  • 作者简介:孟媛媛(1991—),女,硕士研究生,主研方向为证据融合、计算机取证分析、数据挖掘;徐连诚,副教授、博士;任敏,副教授、博士研究生;王燕飞,硕士研究生。
  • 基金资助:

    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)。

D-S Evidence Fusion Method Based on High Conflict Correction

MENG Yuanyuan  1,2,XU Liancheng  1,2,REN Min  1,3,WANG Yanfei  1,2   

  1. (1.School of Information Science and Engineering,Shandong Normal University,Jinan 250358,China; 2.Shandong Provincial Key Laboratory for Novel Technology of Distributed Computer Software,Jinan 250358,China; 3.School of Mathematic and Quantitative Economics,Shandong University of Finance and Economics,Jinan 250014,China)
  • Received:2016-12-16 Online:2018-01-15 Published:2018-01-15

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。

关键词: D-S证据理论, 高冲突证据, 组合规则, 信任度, 虚假度

Abstract:

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.

Key words: D-S(Dempster-Shafer) evidence theory, high conflict evidence, combination rule, trust degree, false degree

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