Fuzzy-Rough Sample Selection

@inproceedings{AnarakiFuzzyRoughSS,
  title={Fuzzy-Rough Sample Selection},
  author={Javad Rahimipour Anaraki and Chang Wook Ahn}
}
Rough set theory (RST) is one of the most successful mathematical tools for modeling uncertainty and vagueness. During recent years, many feature selection methods have been proposed based on RST to deal with discrete datasets. As an extension, fuzzy-rough set was introduced to evade the lack of RST in dealing with continuous data in feature selection. However, few investigations were conducted in fuzzy-rough sample selection (FRSS). This paper proposes a new FRSS based on fuzzy-rough positive… CONTINUE READING

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