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A method for combining conflicting evidences with improved distance function and Tsallis entropy
作者: Hanwen Li , Fuyuan Xiao
DOI:
10.1002/INT.22273
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3
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wiley.com
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参考文章
(68)
1.
Constantino Tsallis,
Possible generalization of Boltzmann-Gibbs statistics
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2.
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Combining belief functions based on distance of evidence
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Anne-Laure Jousselme, Dominic Grenier, Éloi Bossé,
A new distance between two bodies of evidence
Information Fusion.
,vol. 2, pp. 91- 101 ,(2001) ,
10.1016/S1566-2535(01)00026-4
4.
CE Shennon, Warren Weaver,
A mathematical theory of communication
Bell System Technical Journal.
,vol. 27, pp. 379- 423 ,(1948) ,
10.1002/J.1538-7305.1948.TB01338.X
5.
Chao Fu, Dong-Ling Xu,
Determining attribute weights to improve solution reliability and its application to selecting leading industries
Annals of Operations Research.
,vol. 245, pp. 401- 426 ,(2016) ,
10.1007/S10479-014-1657-8
6.
Ronald R. Yager,
On the Dempster-Shafer framework and new combination rules
Information Sciences.
,vol. 41, pp. 93- 137 ,(1987) ,
10.1016/0020-0255(87)90007-7
7.
Zhenjiang Zhang, Tonghuan Liu, Dong Chen, Wenyu Zhang,
Novel algorithm for identifying and fusing conflicting data in wireless sensor networks.
Sensors.
,vol. 14, pp. 9562- 9581 ,(2014) ,
10.3390/S140609562
8.
Lotfi A Zadeh,
A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination
Ai Magazine.
,vol. 7, pp. 85- 90 ,(1986) ,
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9.
Catherine K. Murphy,
Combining belief functions when evidence conflicts
decision support systems.
,vol. 29, pp. 1- 9 ,(2000) ,
10.1016/S0167-9236(99)00084-6
10.
Arthur P. Dempster,
Upper and Lower Probabilities Induced by a Multivalued Mapping
Classic Works of the Dempster-Shafer Theory of Belief Functions.
,vol. 38, pp. 57- 72 ,(1967) ,
10.1007/978-3-540-44792-4_3
来源期刊
International Journal of Intelligent Systems
John Wiley & Sons, Ltd
2020 年,
Volume: 35, Issue: 11,
Page: 1814-1830
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