Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 10-12.
Previous Articles Next Articles
LIU Zhe-xi, HONG Chun-zhe, YANG Jian-hong and YANG De-bin
[1] Smets P.The combination of evidence in the transferable belief model[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(5):447-458 [2] Smarandache F,Dezert J.Advances and Applications of DSmTfor Information Fusion(Collected works),second volume:Collected Works[M].Ann Arbor:Infinite Study,2006:89-112 [3] Murphy C K.Combining belief functions when evidence conflicts[J].Decision Support Systems,2000,9(1):1-9 [4] Jousselme A L,Grenier D,Bossé .A new distance between two bodies of evidence[J].Information Fusion,2001,2(2):91-101 [5] 熊彦铭,杨战平.冲突证据组合中的模型修正新方法[J].火力与指挥控制,2012,37(8):35-38 [6] Yang Y,Han D,Han C.Discounted combination of unreliableevidence using degree of disagreement[J].International Journal of Approximate Reasoning,2013,4(8):1197-1216 [7] 张燕君,龙呈,李达.基于冲突表示的冲突证据融合方法[J].模式识别与人工智能,2013,26(9):853-858 [8] Jousselme A L,Liu C,Grenier D,et al.Measuring ambiguity in the evidence theory[J].IEEE Transactions on Systems,Man and Cybernetics,Part A:Systems and Humans,2006,36(5):890-903 [9] 韩德强,邓勇,韩崇昭,等.利用不确定度的冲突证据组合[J].控制理论与应用,2011,28(6):788-792 [10] 肖建于,童敏明,朱昌杰,等.基于pignistic 概率距离的改进证据组合规则[J].上海交通大学学报,2012,46(4):636-641 [11] 黄建招,谢建,李良,等.基于冲突系数和 pignistic 概率距离的改进证据组合方法[J].传感器与微系统,2013,32(9):21-24 [12] Liu W.Analyzing the degree of conflict among belief functions[J].Artificial Intelligence,2006,170(11):909-924 |
No related articles found! |
|