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