Target Recognition Fusion Based on Improved Evidence Theory

WANG Pin; SHANG Chao-xuan; HAN Zhuang-zhi

doi:10.3969/j.issn.1671-637x.2015.09.010

Journals >Electronics Optics & Control >Volume 22 >Issue 9 >Page 46 > Article

Electronics Optics & Control
Vol. 22, Issue 9, 46 (2015)

Target Recognition Fusion Based on Improved Evidence Theory

WANG Pin, SHANG Chao-xuan, and HAN Zhuang-zhi

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2015.09.010 Cite this Article

WANG Pin, SHANG Chao-xuan, HAN Zhuang-zhi. Target Recognition Fusion Based on Improved Evidence Theory[J]. Electronics Optics & Control, 2015, 22(9): 46 Copy Citation Text

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References

[7] LEFEVRE E, COLOT O, VANNOORENBERGHE P. Belief function combination and conflict management ［J］. Information Fusion, 2002, 3(3): 149-162.

[8] SMETS P, KENNES R. The transfer belief model ［J］. Artificial Intelligence, 1994, 66(3): 191-234.

[9] YAGER R R. On the Dempster Shafer framework and new combination rules ［J］. Information Science, 1989, 41(2): 93-137.

[11] MURPHY C K. Combining belief functions when evidence conflicts ［J］. Decision Support Systems, 2000, 29(1): 1-9.

CLP Journals

[1] HE Peng, PAN Qian, WANG Jiaxing. Target Recognition Based on Evidence Belief Entropy and Similarity[J]. Electronics Optics & Control, 2022, 29(11): 24

WANG Pin, SHANG Chao-xuan, HAN Zhuang-zhi. Target Recognition Fusion Based on Improved Evidence Theory[J]. Electronics Optics & Control, 2015, 22(9): 46

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