Researchers have introduced a label correction and dependency-degree optimal scale reduction framework to resolve inconsistencies and improve knowledge acquisition in ...
Researchers have built a formal possible-world semantics for rough set theory under incomplete information, deriving similarity relations and three-way decisions ...
A rough set theory analysis of the METABRIC cohort shows that a compact set of routine clinical variables can moderately ...
Researchers at SRM University have developed a fuzzy–rough set-based gene selection method that consistently shortens selection time across nine benchmark ...
Researchers have developed a rough-set-based AI framework that quantifies Traditional Chinese Medicine diagnostics and fuses them with Western clinical data, ...
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