Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
Fuzzy rough set theory is a powerful tool to deal with uncertainty information, which has
been successfully applied to the fields of attribute reduction, rule extraction, classification …
been successfully applied to the fields of attribute reduction, rule extraction, classification …
Artificial Intelligence based wrapper for high dimensional feature selection
Background Feature selection is important in high dimensional data analysis. The wrapper
approach is one of the ways to perform feature selection, but it is computationally intensive …
approach is one of the ways to perform feature selection, but it is computationally intensive …
AIFS: A novel perspective, Artificial Intelligence infused wrapper based Feature Selection Algorithm on High Dimensional data analysis
Background Feature selection is important in high dimensional data analysis. The wrapper
approach is one of the ways to perform feature selection, but it is computationally intensive …
approach is one of the ways to perform feature selection, but it is computationally intensive …
Fuzzy Rough Set Theory‐Based Feature Selection: A Review
A variety of techniques for attribute reduction in fuzzy rough set (FRS) environment are
widely discussed by many researchers. This chapter considers three types of decision …
widely discussed by many researchers. This chapter considers three types of decision …