Semiconductor Optoelectronics, Volume. 42, Issue 1, 121(2021)

Data Fusion Target Classification Based on Improved D-S Evidence Theory

ZHOU Wenwen*, WAN Xiaodong, and LI Wen
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    References(6)

    [2] [2] Dempster A P. Upper and lower probabilities induced by a multi-valued mapping[J]. Annals of Mathematical Statistics, 1967, 38(2): 325-339.

    [3] [3] Shafer G. A Mathematical Theory of Evidence[M]. Princeton: Princeton University Press, 1976.

    [4] [4] Yager R R. On the dempster-shafer framework and new combination rules[J]. Information Science, 1987, 41(2): 93-137.

    [5] [5] Murphy C K. Combining belief functions when evidence conflicts[J]. Decision Support Systems, 2000, 29(1): 1-9.

    [7] [7] Jousselme A L, Grenier D, Bosse L. A new distance between two bodies of evidence[J]. Information Fusion, 2001, 2(2): 91-101.

    [12] [12] Liu Weiru. Analyzing the degree of conflict among belief functions[J]. Artificial Intelligence, 2006, 170(11): 909-924.

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    ZHOU Wenwen, WAN Xiaodong, LI Wen. Data Fusion Target Classification Based on Improved D-S Evidence Theory[J]. Semiconductor Optoelectronics, 2021, 42(1): 121

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    Paper Information

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    Received: Nov. 5, 2020

    Accepted: --

    Published Online: Mar. 18, 2021

    The Author Email: Wenwen ZHOU (zhouww00@163.com)

    DOI:10.16818/j.issn1001-5868.2021.01.022

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