[1] Lee E S,Zhu Q.An interval dempster-shafer approach[J].Computers & Mathematics with Applications,1992,24(7):89-95.
[2] Denœux T.Reasoning with imprecise belief structures[J].International Journal of Approximate Reasoning,1999,20(1):79-111.
[3] Denœux T.Modeling vague beliefs using fuzzy-valued belief structures[J].Fuzzy Sets and Systems,2000,116(2):167-199.
[4] Smets P.Data fusion in the transferable belief model[A].Proceedings of the Third International Conference on Information Fusion[C].IEEE,2000.21-33.
[5] Wang Y M,Yang J B,Xu D L,et al.On the combination and normalization of interval-valued belief structures[J].Information Sciences,2007,177(5):1230-1247.
[6] 陈圣群,王应明.区间值信念结构下冲突证据组合[J].系统工程理论与实践,2014,(1):256-261. Chen Shengqun,Wang Yingmin.Conflicting evidence combination of interval-valued belief structures[J].Systems Engineering Theory&Practice,2014,(1):256-261.(in Chinese)
[7] 康兵义,李娅,邓勇,等.基于区间数的基本概率指派生成方法及应用[J].电子学报,2012,40(6):1092-1096. Kang Yibing,Li Ya,Deng Yong,et al.Determination of basic probability assignment based on interval numbers and its application[J].Acta Electronica Sinica,2012,40(6):1092-1096.(in Chinese)
[8] Smarandache F,Dezert J.An introduction to DSm theory of plausible,paradoxist,uncertain,and imprecise reasoning for information fusion[J].Octogon Mathematical Magazine,2007,15(2):681-722.
[9] Shafer G.A Mathematical Theory of Evidence[M].Princeton:Princeton University Press,1976.
[10] Dubois D,Prade H.A Set-Theoretic View of Belief Functions[M].Springer Berlin Heidelberg,2008.375-410.
[11] Smets P.Analyzing the combination of conflicting belief functions[J].Information Fusion,2007,8(4):387-412.
[12] Murphy C K.Combining belief functions when evidence conflicts[J].Decision support systems,2000,29(1):1-9.
[13] Smets P,Kennes R.The transferable belief model[J].Artificial Intelligence,1994,66(2):191-234.
[14] Yager R R.On the dempster-shafer framework and new combination rules[J].Information Sciences,1987,41(2):93-137.
[15] Dubois D,Prade H.Representation and combination of uncertainty with belief functions and possibility measures[J].Computational Intelligence,1988,4(3):244-264.
[16] Lefevre E,Colot O,Vannoorenberghe P.Belief function combination and conflict management[J].Information fusion,2002,3(2):149-162.
[17] Dezert J.Foundations for a new theory of plausible and paradoxical reasoning[J].Information and Security,2002,9:13-57.
[18] Smarandache F,Dezert J.Advances and Applications of DSmT for Information Fusion (Collected works)[M].American Research Press,2009.
[19] Dezert J,Smarandache F.Proportional conflict redistribution rules for information fusion[A].Advances and Applications of DSmT for Information Fusion (Collected works second volume)[C].Rehoboth,American Research Press,2006,3-66.
[20] Dambreville F,Celeste F,Dezert J,et al.Probabilistic PCR6 fusion rule[J].Advances and Applications of DSmT for Information Fusion,2009,3:137-160.
[21] Smarandache F,Deserts J.A simple proportional conflict redistribution rule[J].Multispace & Multistructure.Neutrosophic Transdisciplinarity (100 Collected Papers of Science),2010,4:304.
[22] Smarandache F,Dezert J.On the consistency of PCR6 with the averaging rule and its application to probability estimation[A].16th International Conference on Information Fusion[C].IEEE,2013,1119-1126.
[23] 李新德,黄心汉,孟正大,等.一种快速分层递阶DSmT近似推理融合方法(A)[J].电子学报,2010,38(11):2566-2572. Li Xinde,Huang Xinhan,Meng Zhengda,et al.A fast approximate reasoning method in hierarchical DSmT(A)[J].Acta Electronica Sinica,2010,38(11):2566-2572.(in Chinese)
[24] 李新德,杨伟东,吴雪建.一种快速分层递阶DSmT近似推理融合方法(B)[J].电子学报,2011,39(A3):31-36. Li Xinde,Yang Weidong,Wu Xuejian,et al.A fast approximate reasoning method in hierarchical DSmT(B)[J].Acta Electronica Sinica,2011,39(A3):31-36.(in Chinese) |