Fuzzy-rough feature selection accelerator
From MaRDI portal
Publication:277419
DOI10.1016/j.fss.2014.04.029zbMath1335.68271OpenAlexW2072371577MaRDI QIDQ277419
Qi Wang, Chuangyin Dang, Yuhua Qian, Honghong Cheng, J. Y. Liang
Publication date: 29 April 2016
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2014.04.029
Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Related Items (25)
NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory ⋮ A fast heuristic attribute reduction approach to ordered decision systems ⋮ Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy ⋮ Feature selection using rough set-based direct dependency calculation by avoiding the positive region ⋮ Recent fuzzy generalisations of rough sets theory: a systematic review and methodological critique of the literature ⋮ Fast attribute reduction via inconsistent equivalence classes for large-scale data ⋮ Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection ⋮ Multi-granularity distance measure for interval-valued intuitionistic fuzzy concepts ⋮ Multi-granularity Attribute Reduction ⋮ Fuzzy Partition Distance Based Attribute Reduction in Decision Tables ⋮ Three-way sampling for rapid attribute reduction ⋮ Incremental rough reduction with stable attribute group ⋮ A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data ⋮ Noise-aware and correlation analysis-based for fuzzy-rough feature selection ⋮ A unified view of consistent functions ⋮ A graph approach for fuzzy-rough feature selection ⋮ A general reduction method for fuzzy objective relation systems ⋮ Min-max attribute-object bireducts: on unifying models of reducts in rough set theory ⋮ A set-cover-based approach for the test-cost-sensitive attribute reduction problem ⋮ Attribute reduction in ordered decision tables via evidence theory ⋮ Feature selection and approximate reasoning of large-scale set-valued decision tables based on \(\alpha\)-dominance-based quantitative rough sets ⋮ Catoptrical rough set model on two universes using granule-based definition and its variable precision extensions ⋮ Random sampling accelerator for attribute reduction ⋮ Novel soft fuzzy rough rings (ideals) of rings and their application in decision making ⋮ Unnamed Item
Cites Work
- Unnamed Item
- A Mathematical Theory of Communication
- Information granules and entropy theory in information systems
- Probabilistic rough set approximations
- Positive approximation: an accelerator for attribute reduction in rough set theory
- Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
- Rough computational methods for information systems
- Uncertainty measures of rough set prediction
- Constructive and axiomatic approaches of fuzzy approximation operators.
- Generalized fuzzy rough sets
- MGRS: a multi-granulation rough set
- An efficient accelerator for attribute reduction from incomplete data in rough set framework
- Learning fuzzy rules from fuzzy samples based on rough set technique
- A new method for measuring uncertainty and fuzziness in rough set theory
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- INTUITIONISTIC FUZZY ORDERED INFORMATION SYSTEM
- MEASURING UNCERTAINTY IN ROUGH SET THEORY
- On Reduct Construction Algorithms
- Rough approximation quality revisited
This page was built for publication: Fuzzy-rough feature selection accelerator