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Soft Computing
Published in: Soft Computing 24/2019

05-08-2019 | Foundations

Information structures and uncertainty measures in a hybrid information system with images

Author: Guangji Yu

Published in: Soft Computing | Issue 24/2019

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Abstract

This paper detects information structures and uncertainty measures in a hybrid information system with images. New hybrid distance in a hybrid information system with images is first developed. Then, the fuzzy \(T_{\mathrm{cos}}\)-equivalence relation, induced by this system by using Gaussian kernel, is obtained, where Gaussian kernel is founded on this new hybrid distance. Next, information structures of this system are described by set vectors, and dependence between information structures is studied by using inclusion degree. Finally, uncertainty measures of a hybrid information system with images are investigated by means of its information structures. These results will be helpful to establish a configuration of granular computing and understand the essence of uncertainty in a hybrid information system with images.
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Metadata
Title
Information structures and uncertainty measures in a hybrid information system with images
Author
Guangji Yu
Publication date
05-08-2019
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 24/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04259-x

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