Robust feature selection using label enhancement and \(\beta\)-precision fuzzy rough sets for multilabel fuzzy decision system
From MaRDI portal
Publication:6588938
DOI10.1016/j.fss.2022.12.018zbMATH Open1543.6838MaRDI QIDQ6588938
Tianrui Li, Hongmei Chen, Tengyu Yin, Chuan Luo, Zhong Yuan
Publication date: 19 August 2024
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Cites Work
- Unnamed Item
- ML-KNN: A lazy learning approach to multi-label learning
- Fuzzy preference based rough sets
- Fuzzy equivalence relations
- Rough set analysis of a general type of fuzzy data using transitive aggregations of fuzzy similarity relations.
- Fast multi-label feature selection based on information-theoretic feature ranking
- A novel attribute reduction approach for multi-label data based on rough set theory
- Label distribution feature selection for multi-label classification with rough set
- Attribute reduction with fuzzy rough self-information measures
- Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- Rough sets
- A comparison of alternative tests of significance for the problem of \(m\) rankings.
- Unsupervised attribute reduction for mixed data based on fuzzy rough sets
- Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets
Related Items (1)
This page was built for publication: Robust feature selection using label enhancement and \(\beta\)-precision fuzzy rough sets for multilabel fuzzy decision system