A Novel Conflict Management Method Based on Uncertainty of Evidence and Reinforcement Learning for Multi-Sensor Information Fusion

Dempster–Shafer theory (DST), which is widely used in information fusion, can process uncertain information without prior information; however, when the evidence to combine is highly conflicting, it may lead to counter-intuitive results. Moreover, the existing methods are not strong enough to proces...

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Detalles Bibliográficos

Principais autores:	Fanghui Huang, Yu Zhang, Ziqing Wang, Xinyang Deng
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-09-01
Series:	Entropy
Assuntos:	multi-sensor information fusion negation of evidence reinforcement learning uncertainty degree correlation coefficient
Acceso en liña:	https://www.mdpi.com/1099-4300/23/9/1222
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