Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers
Determining whether an imprecise dataset is imbalanced is not immediate. The vagueness in the data causes that the prior probabilities of the classes are not precisely known, and therefore the degree of imbalance can also be uncertain. In this paper we propose suitable extensions of different resamp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2012-04-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25867972.pdf |