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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
- 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.
- Subjects :
- Computer science
020209 energy
General Physics and Astronomy
incomplete information system
lcsh:Astrophysics
Context (language use)
02 engineering and technology
Machine learning
computer.software_genre
lcsh:QB460-466
0202 electrical engineering, electronic engineering, information engineering
Information system
lcsh:Science
rough set theory
Fusion
Information Age
business.industry
information entropy
multi-source information fusion
Missing data
lcsh:QC1-999
lcsh:Q
020201 artificial intelligence & image processing
Artificial intelligence
Rough set
Data mining
business
computer
lcsh:Physics
Multi-source
Information integration
Subjects
Details
- ISSN :
- 10994300
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Entropy
- Accession number :
- edsair.doi.dedup.....135bd6166bc735286d95c5f2b10bbdcb
- Full Text :
- https://doi.org/10.3390/e19110570