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Conclusions and Future Work

  • Sarah VluymansEmail author
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 807)

Abstract

In this book, we have presented fuzzy rough set based classification methods for various challenging types of data. We have studied class imbalanced data, semi-supervised data, multi-instance data and multi-label data. Fuzzy rough set theory allows to model the uncertainty present in data both in terms of vagueness (fuzziness) and indiscernibility or imprecision (roughness).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Applied Mathematics, Computer Science and StatisticsGhent UniversityGentBelgium

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