Oct 11, 2022 � We propose a novel feature selection approach based on an improved robust fuzzy dominance rough set for MCTs.

Thus, to make up for these two deficiencies, we propose a novel feature selection approach based on an improved robust fuzzy dominance rough set for MCTs. First�...

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification � 10 Citations � 56 References.

May 24, 2024 � Dominance rough set theory is a key mathematical tool for addressing monotonic classification tasks (MCTs). However, current dominance rough�...

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification � Computer Science, Mathematics.

Dominance rough set theory is a key mathematical tool for addressing monotonic classification tasks (MCTs). However, current dominance rough set models for�...

Feature selection methods with antinoise performance are effective dimensionality reduction methods for classification tasks with noise.

Self-adaptive interval dominance-based feature selection for monotonic classification of interval-valued attributes.

Motivated by these two issues, this paper proposes a robust fuzzy dominance rough set model to combat noise interference and develop a feature selection�...

Apr 1, 2024 � Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson's disease behavioral analysis