Abstract
This chapter deals with object reduction in rough set theory. We introduce a concept of object reduction that reduces the number of objects as long as possible with keeping the results of attribute reduction in the original decision table.
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UCI machine learning repository. http://archive.ics.uci.edu/ml/index.php
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Akama, S., Kudo, Y., Murai, T. (2020). Object Reduction in Rough Set Theory. In: Topics in Rough Set Theory. Intelligent Systems Reference Library, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-030-29566-0_3
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DOI: https://doi.org/10.1007/978-3-030-29566-0_3
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Online ISBN: 978-3-030-29566-0
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