ZADEH L A.Review of Shafer’s a mathematical theory ofevidence[J].AI Magazine,1984,5(3):81-83.
[2]
YAGER R R.On the Dempster-Shafer framework and newcombination rules[J].Information Science,1987,41(2):93-138.
[3]
LEFEVRE E,COLOT O,VANNOORENBERGHE P.Belief function combination and conflict management[J].Information Fusion,2002,3(2):149-162.
[4]
MURPHY C K.Combing belief functions when evidenceconflicts[J].Decision Support System,2000,29(1):1-9.
[5]
邓勇,施文康,朱振福.一种有效处理冲突证据的组合方法[J].红外与毫米波学报,2004,23(1):27-32.DENG Yong,SHI Wen-kang,ZHU Zhen-fu.Efficientcombination approach of conflict evidence[J].Journal ofInfrared Millimeter and Waves,2005,23(1):27-32.(inChinese)
[6]
张山鹰,潘泉,张洪才.证据推理冲突问题研究[J].航空学报,2001,22(4):369-372.ZHANG Shan-ying,PAN Quan,ZHANG Hong-cai.Conflict problem of Dempster-Shafer evidence theory[J].Acta Aeronautica et Astronautica Sinica,2001,22(4):369-372.(in Chinese)
[7]
RAKOWSKY U K.Fundamentals of the Dempster-Shafertheory and its applications to reliability[J].InternationalJournal of Reliability,Quality and Safety Engineering,2007,14(6):579-601.
胡昌华,司小胜,周志杰,等.新的证据冲突衡量标准下的D-S改进算法[J].电子学报,2009,37(7):1578-1583.HU Chang-hua,SI Xiao-sheng,ZHOU Zhi-jie,et al.Animproved D-S algorithm under the new measure criteria ofevidence conflict[J].Acta Electronica Sinica,2009,37(7):1578-1583.(in Chinese)
[10]
康健,李一兵,谢红,等.D-S证据理论与信息熵结合的新算法[J].弹箭与制导学报,2011,31(1):197-200.KANG Jian,LI Yi-bing,XIE Hong,et al.An algorithmcombining D-S evidence theory with information entropy[J].Journal of Projectiles,Rockets,Missiles andGuidance,2011,31(1):197-200.(in Chinese)
[11]
朱永生,王成栋,张优云.基于证据加权调整方法的神经网络及其在故障诊断中的应用[J].机械工程学报,2002,38(6):66-71.ZHU Yong-sheng,WANG Cheng-dong,ZHANG You-yun.Study of neural network based on method of weightedbalance of evidence and its application to fault diagnosis[J].Chinese Journal of Mechanical Engineering,2002,38(6):66-71.(in Chinese)