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Information combination operators for data fusion: a comparative review with classification
Abstract
In most data fusion systems, the information extracted from each sensor (either numerical or symbolic) is represented as a degree of belief in an event with real values, taking in this way into account the imprecise, uncertain, and incomplete nature of the information. The combination of such degrees of belief is performed through numerical fusion operators. A very large variety of such operators has been proposed in the literature. We propose in this paper a classification of these operators issued from the different data fusion theories with respect to their behavior. Three classes are thus defined. This classification provides a guide for choosing an operator in a given problem. This choice can then be refined from the desired properties of the operators, from their decisiveness, and by examining how they deal with conflictive situations.
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Cited by
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Lahat, D., Adali, T., & Jutten, C. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2460697 · Cited by 1,296
FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion
Sun, Y., Zuo, W., Yun, P., Wang, H., & Liu, M. (2021) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2020.2993143 · Cited by 270
Meng, H., Huang, D., Wang, H., Yang, H., AI-Shuraifi, M., & Wang, Y. (2013) · Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge · doi:10.1145/2512530.2512532 · Cited by 225
A survey of methods for 3D histology reconstruction
Pichat, J., Iglesias, J. E., Yousry, T., Ourselin, S., & Modat, M. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.02.004 · Cited by 207
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Wang, P., Yang, L. T., Li, J., Chen, J., & Hu, S. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.002 · Cited by 127
Metadata
- Authors
- Bloch, I.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
- Published
- 1996
- Volume
- 26
- Issue
- 1
- Pages
- 52-67
- ISSN
- 1083-4427 (ISSN-L)
- OpenAlex
- W2307710359
- Cited by
- 639
- References
- 0
- FWCI
- 48.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bloch, I. (1996). Information combination operators for data fusion: a comparative review with classification. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. https://doi.org/10.1109/3468.477860
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