[1] 周莉,唐文静,郭伟震.基于改进D-S证据组合规则的目标识别算法[J].北京邮电大学学报,2016,39(5):47-50. ZHOU Li,TANG Wen-jing,GUO Wei-zhen.Target-recognition algorithm based on improved D-S evidence combination rule[J].Journal of Beijing University of Posts and Telecommunications,2016,39(5):47-50.(in Chinese)
[2] 罗志增,蒋静坪.基于D-S理论的多信息融合方法及应用[J].电子学报,1999,27(9):100-102. LUO Zhi-zeng,JIANG Jing-ping.Multi sensor data fusion based on Dempster Shafer evidential reasoning and its application[J].Acta Electronica Sinica,1999,27(9):100-102.(in Chinese)
[3] 李剑峰,乐光新,尚勇.基于改进型D-S证据理论的决策层融合滤波算法[J].电子学报,2004,32(7):1160-1164. LI Jian-feng,YUE Guang-xin,SHANG Yong.Decision-level fusion filtering algorithm based on advanced D-S theory of evidence[J].Acta Electronica Sinica,2004,32(7):1160-1164.(in Chinese)
[4] 陈维高,贾鑫,朱卫纲,唐晓婧.基于机动特征辅助的MFR状态预测方法[J].电子学报,2018,46(6):1404-1409. CHEN Wei-gao,JIA Xin,ZHU Wei-gang,TANG Xiao-jing.MFR state prediction method based on aircraft maneuvering features assistance[J].Acta Electronica Sinica,2018,46(6):1404-1409.(in Chinese)
[5] 孙全,叶秀清,顾伟康.一种新的基于证据理论的合成公式[J].电子学报,2000,28(8):117-119. SUN Quan,YE Xiu-qing,GU Wei-kang.A new combination rules of evidence theory[J].Acta Electronica Sinica,2000,28(8):117-119.(in Chinese)
[6] 杨善林,李永森,马溪骏,陈增明.基于技术进步和信息不对称的证据合成研究[J].系统工程学报,2007,22(3):268-292. YANG Shan-lin,LI Yong-sen,MA Xi-jun,CHEN Zeng-ming.Study of evidence combination based on technology progress and information asymmetry[J].Journal of Systems Engineering,2007,22(3):268-292.(in Chinese)
[7] 杨风暴,王肖霞.D-S证据理论的冲突证据合成方法[M].北京:国防工业出版社,2010.
[8] 张山鹰,潘泉,张洪才.一种新的证据推理组合规则[J].控制与决策,2000,15(5):540-545. Zhang Shan-ying,Pan Quan,Zhang Hong-cai.A new kind of combination rule of evidence theory[J].Control and Decision,2000,15(5):540-545.(in Chinese)
[9] 刑清华,雷英杰,刘付显.一种按比例分配冲突度的证据推理组合规则[J].控制与决策,2004,19(12):1387-1390. XING Qing-hua,LEI Ying-jie,LIU Fu-xian.One combination rule of evidence theory based on distributing conflict in proportion[J].Control and Decision,2004,19(12):1387-1390.(in Chinese)
[10] Haenni R.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(4):237-239.
[11] Deng Y,Shi W K,Zhu Z F,et al.Combining belief functions based on distance of evidence[J].Decision Support Systems,2004,38(3):489-493.
[12] Han De-qiang,Deng Yong,Han Chong-zhao,et al.Weighted evidence combination based on distance of evidence and uncertainty measure[J].Journal of Infrared and Millimeter Waves,2011,30(5):396-400.
[13] Murphy C K.Combining belief functions when evidence conflicts[J].Decision Support System,2000,29(1):1-9.
[14] 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)
[15] Smarandache F,Dezert J.Advances and Applications of DSmT for Information Fusion[M].Re-hoboth:American Research Press,2004.
[16] Marcos N,Azcarraga A.Belief-evidence fusion in a hybrid intelligent system[A].Proceeding of the Seventh International Conference on Inform-ation Fusion[C].Stockholm,2004.322-329.
[17] 王加阳,周勇.冲突证据的融合方法研究[J].计算机应用研究,2008,25(7):2046-2049. WANG Jia-yang,ZHOU Yong.Research on fusion of conflict evidence[J].Application Research of Computers,2008,25(7):2046-2049.(in Chinese)
[18] 周莉,郭伟震,张维华.基于证据排序融合的局部冲突信息再分配算法[J].北京邮电大学学报,2018,41(2):109-113. ZHOU Li,GUO Wei-zhen,ZHANG Wei-hua.Local conflict information redistribution algorithm based on evidence ranking fusion[J].Journal of Beijing University of Posts and Telecommunications,2018,41(2):109-113.(in Chinese)
[19] 胡昌华,司小胜,周志杰,王鹏.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,WANG Peng.An improved D-S algorithm under the new measure criteria of evidence conflict[J].Acta Electronica Sinica,2009,37(7):1578-1583.(in Chinese)
[20] 韩德强,杨艺,韩崇昭.DS证据理论研究进展及相关问题探讨[J].控制与决策,2014,29(1):1-11. HAN De-qiang,YANG Yi,HAN Chong-zhao.Advances in DS evidence theory and related discussions[J].Control and Decision,2014,29(1):1-11.(in Chinese)
[21] Xindong Wu,Vipin Kumar.数据挖掘十大算法[M].北京:清华大学出版社,2013. |