[1] Shafer G. A Mathematical Theory of Evidence. Princeton:Princeton University Press,1967.
[2] 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.
[4] Yager R R. On the Dempster-Shafer framework and new combination rules[J]. Information Science,1987,41(2):93-137.
[5] Yamada K. A new combination of evidence based on compromise[J]. Fuzzy Sets and Systems,2008,159(13):1689-1708.
[6] Lefevre E, Colot O, Vannoorenberghe P. Belief functions combination and conflict management[J]. Information Fusion,2002,3(2):149-162.
[7] Han D Q, Han C Z, Yang Y. A modified evidence combination approach based on ambiguity measure Proceedings of the 11th International Conference on Information Fusion[C]. Cologne, Germany,2008,1346-1351.
[8] Torra V, Narukawa Y, Inuiguchi M, et al. Modeling Decisions for Artificial Intelligence,2009,5861:217-230.
[9] Murphy C K. Combining belief functions when evidence conflicts[J]. Decision Support Systems,2000,29(1): 1-9.
[10] 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.
[11] Jousselme A L, Liu C S, Grenier D, et al. Measuring ambiguity in the evidence theory[J]. IEEE Transactions on Systems, Man and Cybernetics, Part A,2006,36(5):890-903.
[12] Jousselme A L, Grenier D, Bosse E. A new distance between two bodies of evidence[J]. Information Fusion,2001,2(2):91-101.
[13] Smets P. The combination of evidence in the transferable belief mode[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(5):447-458.
[14] Klir G J, Lewis H W. Remarks on “Measuring Ambiguity in the Evidence Theory”[J]. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans,2008,38(4):995-999.