A Novel Combination Method of Conflict Evidence in Multi-Sensor Target Recognition

Yan Ming Xiong; Zhan Ping Yang

doi:10.4028/www.scientific.net/AMR.143-144.920

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144A Novel Combination Method of Conflict Evidence in...

A Novel Combination Method of Conflict Evidence in Multi-Sensor Target Recognition

Abstract:

A novel combination method is proposed in order to efficiently combine conflict evidence. The credibility of the evidence is derived by introducing a distance function, and the conflict probability is distributed to every proposition according to its credibility. Better performance is demonstrated by numerical examples compared with three other methods.

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Periodical:

Advanced Materials Research (Volumes 143-144)

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920-924

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.920

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Online since:

October 2010

Authors:

Yan Ming Xiong, Zhan Ping Yang

Keywords:

Combination Method, Conflict Evidence, Data Fusion, Evidence Theory

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References

[1] P. Smets: The combination of evidence in the transferable belief method. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 12, No. 5 (1990): 447-458.

DOI: 10.1109/34.55104

Google Scholar

[2] R.R. Yager: On the Dempster-Schafer framework and new combination rules. Information Science, Vol. 41, No. 2(1989): 93-137.

Google Scholar

[3] E. Lefevre, O. Colot, P. Vannoorenberghe: Belief function combination and conflict management. Information Fusion, Vol. 3, No. 3(2002): 149-162.

DOI: 10.1016/s1566-2535(02)00053-2

Google Scholar

[4] Q. Sun, X.Q. Ye, W.K. Gu: A new combination rules of evidence theory. Acta Electronica Sinica, Vol. 28, No. 8(2000): 117-119(in Chinese).

Google Scholar

[5] D. Dubois, H. Prade: Representation and combination of uncertainty with belief functions and possibility measures. Computational Intelligence, Vol. 4(1998): 244-264.

DOI: 10.1111/j.1467-8640.1988.tb00279.x

Google Scholar

[6] C.K. Murphy: Combining belief function when evidence conflicts. Decision Support System, Vol. 29, No. 2(2000): 1-9.

Google Scholar

[7] R. Haenni: Comments on about the belief function combination and the conflict management problem. Information Fusion, Vol. 3No. 4(2002): 237-239.

Google Scholar

[8] Y. Deng, W.K. Shi, Z.F. Zhu: Efficient combination approach of conflict evidence. Journal of Infrared and Millimeter Waves, Vol. 23, No. 1(2004): 27-32(in Chinese).

Google Scholar

[9] A.L. Jousselme, D. Grenier, E. Bosse: A new distance between two bodies of evidence. Information Fusion. Vol. 2, No. 1(2001): 91-101.

DOI: 10.1016/s1566-2535(01)00026-4

Google Scholar