[1] YAGER R R. On the Dempster-Shafer Framework and New Combination Rules[J]. Information Sciences, 1987, 41[2]:93-137.
[2] Murphy C K. Combining belief functions when evidence conflicts[J]. Decision Support Systems, 2000, 29(1):1-9. [3] Ibrahim J G, Chen M, Gwon Yetal. The power prior: theory and applications[J]. Statistics in Medicine, 2015, 34(28): 3724-3749.
[4] SMARANDACHE F, DEZERT J. Advances and Applications of DSmT for Information Fusion Vol.3[M] .American Research Press,Rehoboth,2009.
[5] Bhalla D, Bansal R K, Gupta H O. Integrating AI Based DGA Fault Diagnosis Using Demper-Shafer Theory[J]. International Journal of Electronical Power&Energy System，2013，48(10): 31-38.
[6] TIMO S, HEIKKI N K, HANNU K. Neural Networks in process fault diagnosis[J]. IEEE Trans. On SMC, 1991，21(4):815-825.
[7] Climente-Alarcon V, Antonino-Daviu J A, RieraGuasp M. Induction motor diagnosis by advanced notch FIR filters and the Wigner-Ville distribution[j]. IEEE Transactions on Industrial Electronics, 2014，61(8): 4217-4227.
[8] Liu W. Analyzing the Degree of Conflict Among Belief Functions[J]. Artificial Intelligence, 2006, 171(11): 909-924.
[9] Jousselem AL, Liu C, Grenier D, et al. Measuring Ambiguity in the Evidence Theory[J]. IEEE Trans. on Systems, Man and Cybernetics-part A : Systems and Humans, 2006, 36(5):890-903.
[10] Liu P D, Wang Y M. Multiple attribute group decision making methods based on intuitionistic linguistic power generalized aggregation operators[J]. Applied Soft Computing, 2014, 17(1): 90-104.
[11] Smets P. The combination of evidence in the transferable belief model[J]. IEEE Trans. On Pattern Analysis and Machine Intelligence, 1990, 12(5): 447-485.
[12]Haenni R. Are alternatives to Dempster’s rule of combination real alternatives Comments on about the belief function combination an the conflict management problem[J]. Information Fusion, 2001, 3(3): 237-239.
[13]Hua Zhongsheng, Gong Bengang, Xu Xiaoyan. ADS-AHPApproach for Multi-attribute Decision Making Problem with Incomplete Information [J]． Expert System withApplication, 2008, 34( 3) : 2221-2227．
[14]Carbajal J C, McLennan A, Tourky R. Truthful implementation and preference aggregation in restricted domains[J]. Journal of Economic Theory, 2013, 148(3): 1074-1101.
[15] Liu P D, Wang Y M. Multiple attribute group decision making methods based on intuitionistic linguistic power generalized aggregation operators[J]. Applied Soft Computing, 2014, 17(1): 90-104.
[16] Xu Z S. Group decision making based on multiple types of linguistic preference relations[J]. Information Sciences， 2008, 178(2): 452-467.
[17] 安春莲,黄静,吴耀云.基于证据理论的多源信息融合模型[J]. 电子信息对抗技术,2017,(01):23-26. doi:10.3969/j.issn. 1674-2230.2017.01.005.
AN Chunlian, HUANG Jing, WU Yaoyun. A Multi-Source Information Fusion Model Based on Evidence Theory[J]. Electronic Information Warfare Technology, 2011, 19(06)：133-140. (in Chinese)
[18] Friedman N, Dan G, Goldszmidt M. Bayesian Network Classifiers[J]. Wiley Encyclopedia of Operations Research & Management Science, 2011 ,29(2-3):598-605.
