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Information Fusion in a Multi-Source Incomplete Information System Based on Information Entropy

Information Fusion in a Multi-Source Incomplete Information System Based on Information Entropy

Authors :
Xiaoyan Zhang
Mengmeng Li
Source :
Entropy; Volume 19; Issue 11; Pages: 570, Entropy, Vol 19, Iss 11, p 570 (2017)
Publication Year :
2017
Publisher :
MDPI AG, 2017.

Abstract

As we move into the information age, the amount of data in various fields has increased dramatically, and data sources have become increasingly widely distributed. The corresponding phenomenon of missing data is increasingly common, and it leads to the generation of incomplete multi-source information systems. In this context, this paper’s proposal aims to address the limitations of rough set theory. We study the method of multi-source fusion in incomplete multi-source systems. This paper presents a method for fusing incomplete multi-source systems based on information entropy; in particular, by comparison with another method, our fusion method is validated. Furthermore, extensive experiments are conducted on six UCI data sets to verify the performance of the proposed method. Additionally, the experimental results indicate that multi-source information fusion approaches significantly outperform other approaches to fusion.

Details

ISSN :
10994300
Volume :
19
Database :
OpenAIRE
Journal :
Entropy
Accession number :
edsair.doi.dedup.....135bd6166bc735286d95c5f2b10bbdcb
Full Text :
https://doi.org/10.3390/e19110570