Computer Science ›› 2014, Vol. 41 ›› Issue (10): 286-290.doi: 10.11896/j.issn.1002-137X.2014.10.060
Previous Articles Next Articles
CUI Jia-wei and LI Bi-cheng
[1] Shafer G.A Mathematical Theory of Evidence[M].Princeton:Princeton University Press,1976 [2] 李弼程,黄洁,高世海,等.信息融合技术及其应用[M].北京:国防工业出版社,2010:8-10 [3] 江涛.基于D-S证据理论的信息融合算法[J].计算机科学,2013,0(11):120-124 [4] 梅莹,丁晓明.证据理论在软件需求工程中的应用研究[J].计算机科学,2012,9(11):237-239 [5] Xiao Z,Yang X L,Pang Y,et al.The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory[J].Know-ledge-Based Systems,2012,6:196-206 [6] Zadeh L A.A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination[J].AI Magazine,1986,2(7):85-90 [7] Florea M C,Jousselme A-L,Bossé ,et al.Robust combination rules for evidence theory[J].Information Fusion,2009,10(2):183-197 [8] Yager R R.On the Dempster.Shaler framework and new combination rules[J].Information Science,1990,1(2):93-137 [9] 李弼程,王波,魏俊.一种有效的证据理论合成公式[J].数据采集与处理,2002,7(1):33-36 [10] 李军伟,程咏梅,梁彦,等.基于局部冲突分配策略的DST算法研究[J].控制与决策,2010,5(10):1484-1488 [11] Jousselme A-L,Grenier D,Bosse E.A new distance between two bodies of evidence[J].Information Fusion,2001,2:91-101 [12] 熊彦铭,杨战平,屈新芬.基于模型修正的冲突证据组合新方法[J].控制与决策.2011,6(6):883-887 [13] Han De-qiang,Deng Yong,Han Chong-zhao,et al.Weighted evidence combination based on distance of evidence and uncertainty[J].Journal of Infrared and Millimeter Waves,2012,30(5):396-400 [14] Rolf H.Are Alternatives to Dempster’s rule of combination real alternative? Comments on "about the belief function combination and the conflict management problem"[J].Information Fusion,2002,3(3):237-239 [15] Liu W.Analyzing the degree of confiict among belief functions[J].Artificial Intelligence,2006,170:909-924 [16] 蒋雯,张安,邓勇.改进的二元组冲突表示方法[J].红外与激光工程,2009,8(5):936-940 [17] 蒋黎明,何加浪,张宏.D-S证据理论中一种新的冲突证据融合方法[J].计算机科学,2011,8(4):236-238 [18] 肖建于,童敏明,范祺,等.Dempster组合规则适用性分析[J].计算机工程,2013,0(2):249-252 [19] Karlsson A.Dependable and generic high-level information fu-sion-methods and algorithms for uncertainty management[R].Sweden:School of Humanities and Informatics,University of Skovde |
No related articles found! |
|