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Divergence Measure of Belief Function and Its Application in Data Fusion

Divergence measure is widely used in many applications. To efficiently deal with uncertainty in real applications, basic probability assignment (BPA) in Dempster-Shafer evidence theory, instead of probability distribution, is adopted. As a result, an open issue is that how to measure the divergence...

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Hlavní autoři: Yutong Song, Yong Deng
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2019-01-01
Edice:IEEE Access
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On-line přístup:https://ieeexplore.ieee.org/document/8784148/
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