Computer Science ›› 2016, Vol. 43 ›› Issue (12): 58-62.doi: 10.11896/j.issn.1002-137X.2016.12.010

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Evidence Combination Rule Based on Vector Conflict Representation Method

LI Jun-wei and LIU Xian-xing   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to solve the counter-intuitive behaviors gotten by Dempster combination rule when combining high conflict evidence ,a new improved Dempster combination rule based on vector conflict representation(VCRD) method was proposed.Firstly,the deficiencies of conflicting belief and Jousselme distance are analyzed by the way of examples.Then,the conflicting degree between the evidence is measured by using similarities and differences of evidence vector,and the evidence can be amended according to the weight computed by utilizing the conflicting degree between them.Finally,the modified functions are combined by Dempster combination rule.The theoretical analysis and experimental results show that compared with Dempster combination rule and other improved methods by the results of numerical examples,VCRD combination rule exhibits the ability in combining highly conflicting evidences rationally and reducing the decision risk.

Key words: Evidential conflict,Combination rule,Conflict representation,Conflicting belief,Weight coefficient

[1] Chen Ke-wen,Zhang Zu-ping,Long Jun.Multisource informa-tion fusion:key issues,research progress and new trends[J].Computer Science,2013,40(8):6-13(in Chinese) 陈科文,张祖平,龙军.多源信息融合关键问题、研究进展与新动向[J].计算机科学,2013,40(8):6-13
[2] Dong G G,Kuang G Y.Target recognition via information aggregation through Dempster-Shafer’s evidence theory[J].IEEE Geoscience and Remote Sensing Letters,2015,12(6):1247-1251
[3] Chen Y,Cremers A B,Cao Z G.Interactive color image segmentation via iterative evidential labeling[J].Information Fusion,2014,20(15),292-304
[4] Kou Guang,Tang Guang-ming,Xu Zi-liang.Research on revi-sing conflict evidence of D-S evidence theory in network security situation awareness[J].Computer Science,2015,42(7):200-203(in Chinese) 寇广,汤光明,徐梓椋.网络安全态势感知中D-S证据理论冲突证据的修正研究[J].计算机科学,2015,42(7):200-203
[5] Zadeh L A.A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination[J].AI Magazine,1986,7(2):85-90
[6] Yager R R.On the Dempster-Shafer framework and new combination rules[J].Information Sciences,1987,41(2):93-137
[7] 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) 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
[8] Smarandache F,Dezert J.Information fusion based on new proportional conflict redistribution rules[C]∥Proceedings of the International Conference on Information Fusion.Philadelphia,2005:907-914
[9] Quan Wen,Wang Xiao-dan,Wang Jian,et al.New combination rule of DST based on local conflict distribution strategy[J].Acta Electronica Sinica,2012,40(9):1880-1884(in Chinese) 权文,王晓丹,王坚,等.一种基于局部冲突分配的DST组合规则[J].电子学报,2012,40(9):1880-1884
[10] Hu Chang-hua,Si Xiao-sheng,Zhou Zhi-jie,et al.An improved D-S algorithm under the new measure criteria of evidence conflict[J].Acta Electronica Sinica,2009,37(7):1578-1583(in Chinese) 胡昌华,司小胜,周志杰,等.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
[11] Liu Zhun-ga,Cheng Yong-mei,Pan Quan,et al.Combination ofweighted belief functions based on evidence distance and conflicting belief[J].Control Theory & Applications,2009,26(12):1439-1442 (in Chinese) 刘准钆,程咏梅,潘泉,等.基于证据距离和矛盾因子的加权证据合成法[J].控制理论与应用,2009,26(12):1439-1442
[12] Li Jun-wei,Cheng Yong-mei,Liang Yan,et al.Research of DST algorithm based on local conflict distribution strategy[J].Control and Decision,2010,25(10):1484-1488(in Chinese) 李军伟,程咏梅,梁彦,等.基于局部冲突分配策略的DST算法研究[J].控制与决策,2010,25(10):1484-1488
[13] Cao Jie,Guo Lei-lei.Evidence combination rule based on local conflict distribution strategy[J].Application Research of Computers,2013,30(7):2033-2035(in Chinese) 曹洁,郭雷雷.一种基于局部冲突分配的证据组合规则[J].计算机应用研究,2013,30(7):2033-2035
[14] Jousselme A L,Grenier D,Bosse E.A new distance between two bodies of evidence[J].Information Fusion,2001,2(2):91-101
[15] Lin Guo-ping,Liang Ji-ye,Qian Yu-hua.Multigranulation view based fusing strategy of D-S evidence[J].Computer Science,2014,41(2):45-48(in Chinese) 林国平,梁吉业,钱宇华.基于多粒度视角下的D-S证据理论融合策略[J].计算机科学,2014,1(2):45-48
[16] Jiang Wen,Zhang An,Deng Yong.A novel information fusion method based on our evidence conflict representation[J].Journal of Northwestern Polytechnical University,2010,28(1):27-32 (in Chinese) 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[J].西北工业大学学报,2010,28(1):27-32
[17] Song Ya-fei,Wang Xiao-dan,Lei Lei,et al.Measurement of evidence conflict based on correlation coefficient[J].Journal of Communications,2014,35(5):95-100 (in Chinese) 宋亚飞,王晓丹,雷蕾,等.基于相关系数的证据冲突度量方法[J].通信学报,2014,35(5):95-100
[18] Zhang Z J,Liu T H,Chen D,et al.Novel algorithm for identifying and fusing conflicting data in wireless sensor networks[J].Sensors,2014,14(6):9562-9581
[19] Dempster A P.Upper and lower probabilities induced by a multivalued mapping[J].Annals of Mathematical Statistics,1967,38(2):325-339
[20] Shafer G.A mathematical theory of evidence[M].Princeton:Princeton University Press,1976

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