Noise-aware and correlation analysis-based for fuzzy-rough feature selection
From MaRDI portal
Publication:6197181
DOI10.1016/j.ins.2023.120047MaRDI QIDQ6197181
No author found.
Publication date: 16 February 2024
Published in: Information Sciences (Search for Journal in Brave)
fuzzy rough setcorrelation analysisrobust feature selectionfuzzy dependency functionhybrid fuzzy relation
Cites Work
- Unnamed Item
- Unnamed Item
- Fuzzy-rough feature selection accelerator
- BGSA: Binary gravitational search algorithm
- Fuzzy-rough data reduction with ant colony optimization
- Fuzzy-rough attribute reduction with application to web categorization.
- A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis
- Towards scalable fuzzy-rough feature selection
- A novel fuzzy rough set model with fuzzy neighborhood operators
- Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels
- Fuzzy rough set model for set-valued data
- Unsupervised fuzzy-rough set-based dimensionality reduction
- Attribute reduction with fuzzy rough self-information measures
- Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation
- Unsupervised attribute reduction for mixed data based on fuzzy rough sets
- Monotonic relation-constrained Takagi-Sugeno-Kang fuzzy system
- Inconsistency guided robust attribute reduction
This page was built for publication: Noise-aware and correlation analysis-based for fuzzy-rough feature selection