Shafer G. A Mathematical Theory of Evidence. Princeton: Princeton University Press, 1976.
[2]
Smarandache F, Dezert J. Advances and Applications of DSmT for Information Fusion, Collected Works. USA: American Research Press, 2004/2006/2009, Vol.1-3
[3]
Li Xin-De, Dezert J, Huang Xin-Han, Meng Zheng-Da, Wu Xue-Jian. A fast approximate reasoning method in hierarchical DSmT (A). Acta Electronica Sinica, 2010, 38(11): 2566-2572(李新德, Dezert J, 黄心汉, 孟正大, 吴雪建. 一种快速分层递阶DSmT近似推理融合方法(A). 电子学报, 2010, 38(11): 2566-2572)
[4]
Li Xin-De, Yang Wei-Dong, Wu Xue-Jian, Dezert J. A fast approximate reasoning method in hierarchical DSmT (B). Acta Electronica Sinica, 2011, 39(3A): 31-36(李新德, 杨伟东, 吴雪建, Dezert J. 一种快速分层递阶DSmT近似推理融合方法(B). 电子学报, 2011, 39(3A): 31-36)
[5]
Li Xin-De, Yang Wei-Dong, Dezert J. An airplane image target's multi-feature fusion recognition method. Acta Automatica Sinica, 2012, 38(8): 1298-1307(李新德, 杨伟东, Dezert J. 一种飞机图像目标多特征信息融合识别方法. 自动化学报, 2012, 38(8): 1298-1307)
[6]
Li Xin-De, Pan Jin-Dong, Dezert J. A target recognition algorithm for sequential aircraft based on DSmT and HMM. Acta Automatica Sinica, 2014, 40(12): 2862-2876(李新德, 潘锦东, Dezert J. 一种基于DSmT和HMM的序列飞机目标识别算法. 自动化学报, 2014, 40(12): 2862-2876)
[7]
Lefevre E, Colot O, Vannoorenberghe P. Belief function combination and conflict management. Information Fusion, 2002, 3(2): 149-162
[8]
Yager R R. On the dempster-shafer framework and new combination rules. Information Sciences, 1987, 41(2): 93-137
[9]
Liu W R. Analyzing the degree of conflict among belief functions. Artificial Intelligence, 2006, 170(11): 909-924
[10]
Wang Dong, Li Qi, Jiang Wen, Xu Xiao-Bin, Deng Yong. New method to combine conflict evidence based on pignistic probability distance. Infrared and Laser Engineering, 2009, 38(1): 149-154(王栋, 李齐, 蒋雯, 徐晓滨, 邓勇. 基于Pignistic概率距离的冲突证据合成方法. 红外与激光工程, 2009, 38(1): 149-154)
[11]
Deng Yong, Wang Dong, Li Qi, Zhang Ya-Juan. A new method to analyze evidence conflict. Control Theory & Applications, 2011, 28(6): 839-844(邓勇, 王栋, 李齐, 章雅娟. 一种新的证据冲突分析方法. 控制理论与应用, 2011, 28(6): 839-844)
[12]
Quan Wen, Wang Xiao-Dan, Wang Jian, Zhang Yu-Xi. New combination rule of DST based on local conflict distribution strategy. Acta Electronica Sinica, 2012, 40(9): 1880-1884(权文, 王晓丹, 王坚, 张玉玺. 一种基于局部冲突分配的DST组合规则. 电子学报, 2012, 40(9): 1880-1884)
[13]
Xiong Yan-Ming, Yang Zhan-Ping, Qu Xin-Fen. Novel combination method of conflict evidence based on evidential model modification. Control and Decision, 2011, 26(6): 883-887(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. 控制与决策, 2011, 26(6): 883-887)
[14]
Lu Zheng-Cai, Qin Zheng. General framework for evidence combination and its approach to highly conflicting evidence fusion. Journal of Tsinghua University (Science and Technology), 2011, 51(11): 1161-1615, 1626(卢正才, 覃征. 证据合成的一般框架及高度冲突证据合成方法. 清华大学学报(自然科学版), 2011, 51(11): 1161-1165, 1626)
[15]
Han De-Qiang, Han Chong-Zhao, Deng Yong, Yang Yi. Weighted combination of conflicting evidence based on evidence variance. Acta Electronica Sinica, 2011, 39(3A): 153-157(韩德强, 韩崇昭, 邓勇, 杨艺. 基于证据方差的加权证据组合. 电子学报, 2011, 39(3A): 153-157)
[16]
Jiang Wen, Zhang An, Deng Yong. A novel information fusion method based on our evidence conflict representation. Journal of Northwestern Polytechnical University, 2010, 28(1): 27-32(蒋雯, 张安, 邓勇. 基于新的证据冲突表示的信息融合方法研究. 西北工业大学学报, 2010, 28(1): 27-32)
[17]
Markov A A. Extension of the limit theorems of probability theory to a sum of variables connected in a chain. Dynamic Probabilistic Systems, Volume 1: Markov Models. New York: John Wiley and Sons, 1971.
[18]
Norris J R. Markov Chains. Cambridge: Cambridge University Press, 1999.
[19]
Zadeh L A. Review of books: a mathematical theory of evidence. The AI Magazine, 1984, 5(3): 81-83
[20]
Papoulis A, Pillai S U. Probability, Random Variables and Stochastic Processes (4th Edition). Xi'an: Xi'an Jiaotong University Press, 2012.(帕普里斯 A,佩莱 S U. 概率、随机变量与随机过程(第4版). 西安: 西安交通大学出版社. 2012.)
[21]
Deng Xin-Yang, Deng Yong, Zhang Ya-Juan, Liu Qi. A belief Markov model and its application. Acta Automatica Sinica, 2012, 38(4): 666-672(邓鑫洋, 邓勇, 章雅娟, 刘琪. 一种信度马尔科夫模型及应用. 自动化学报, 2012, 38(4): 666-672)
[22]
Jousselme A L, Maupin P. Distances in evidence theory: comprehensive survey and generalizations. International Journal of Approximate Reasoning, 2012, 53(2): 118-145
[23]
Jousselme A L, Grenier D, Bossé E. A new distance between two bodies of evidence. Information Fusion, 2001, 2(2): 91-101
[24]
Li X D, Dezert J, Smarandache F, Huang X H. Evidence supporting measure of similarity for reducing the complexity in information fusion. Information Sciences, 2011, 181(10): 1818-1835
[25]
Smets P. Data Fusion in the transferable belief model. In: Proceedings of the 3rd International Conference on Information Fusion. Paris, France: IEEE, 2000. 21-33
[26]
Wen C L, Wang Y C, Xu X B. Fuzzy information fusion algorithm of fault diagnosis based on similarity measure of evidence. Advances in Neural Networks, Lecture Notes in Computer Science vol. 5264, Berlin: Springer Berlin Heidelberg, 2008. 506-515
[27]
Liu Z G, Dezert J, Pan Q, Mercier G. Combination of sources of evidence with different discounting factors based on a new dissimilarity measure. Decision Support Systems, 2011, 52(1): 133-141
[28]
Smets P, Kennes R. The transferable belief model. Artificial Intelligence, 1994, 66(2): 191-243
[29]
Smets P. Decision making in the TBM: the necessity of the pignistic transformation. International Journal of Approximate Reasoning, 2005, 38(2): 133-147
[30]
Murphy C K. Combining belief functions when evidence conflicts. Decision Support Systems, 2000, 29(1): 1-9
[31]
Li Wen-Li, Guo Kai-Hong. Combination rules of D-S evidence theory and conflict problem. Systems Engineering-Theory & Practice, 2010, 30(8): 1422-1432(李文立, 郭凯红. D-S证据理论合成规则及冲突问题. 系统工程理论与实践, 2010, 30(8): 1422-1432)
[32]
Li Xin-De, Wang Feng-Yu. A method of evidence reasoning based on ISODATA clustering and improved similarity measure. Acta Automatica Sinica, 2015, 41(3): 575-590(李新德, 王丰羽. 一种基于ISODATA聚类和改进相似度的证据推理方法. 自动化学报, 2015, 41(3): 575-590)
[33]
Yang J B, Xu D L. Evidential reasoning rule for evidence combination. Artificial Intelligence, 2013, 205: 1-29
[34]
Hu Li-Fang, Guan Xin, Deng Yong, He You. Cause-analysis for conflicting evidences in the generalized power space. Control Theory & Applications, 2011, 28(12): 1717-1722(胡丽芳, 关欣, 邓勇, 何友. 广义幂集空间中证据冲突的原因分析. 控制理论与应用, 2011, 28(12): 1717-1722)