Feature analysis through information granulation and fuzzy sets
From MaRDI portal
Publication:1347721
DOI10.1016/S0031-3203(01)00102-9zbMath0997.68114MaRDI QIDQ1347721
George Vukovich, Witold Pedrycz
Publication date: 1 May 2002
Published in: Pattern Recognition (Search for Journal in Brave)
Related Items
Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring, Attribute selection with fuzzy decision reducts, Granulation of a fuzzy set: nonspecificity, Local rough set: a solution to rough data analysis in big data, A relative decision entropy-based feature selection approach, A random approximate reduct-based ensemble learning approach and its application in software defect prediction, A comparative study of rough sets for hybrid data, Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems, A new method for Atanassov's interval-valued intuitionistic fuzzy MAGDM with incomplete attribute weight information, Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications, An efficient accelerator for attribute reduction from incomplete data in rough set framework, Positive approximation: an accelerator for attribute reduction in rough set theory, Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation, Maximal fuzzy maps, Feature selection based on a modified fuzzy C-means algorithm with supervision, Ensemble learning based on approximate reducts and bootstrap sampling, Set-based granular computing: a lattice model
Uses Software
Cites Work