Multi-source information fusion based on rough set theory: A review

Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary subject, and is referred to as, multi-sensor information fusion which was originated in the 1970s. Nowadays, the types and updates of data are becoming more multifarious and frequent, which bring new challenges for infor...

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Vydáno v:	Information fusion Ročník 68; s. 85 - 117
Hlavní autoři:	Zhang, Pengfei, Li, Tianrui, Wang, Guoqiang, Luo, Chuan, Chen, Hongmei, Zhang, Junbo, Wang, Dexian, Yu, Zeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2021
Témata:	Cluster ensembles Homogeneous and heterogeneous MSIF Incremental learning Multi-source information fusion Multi-view rough sets Parallel computing Rough set theory Rough set theory Parallel computing Incremental learning Homogeneous and heterogeneous MSIF Multi-source information fusion Multi-view rough sets Cluster ensembles
ISSN:	1566-2535
On-line přístup:	Získat plný text
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