Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Classes of kernels for machine learning: a statistics perspective
The Journal of Machine Learning Research
An introduction to variable and feature selection
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
An axiomatic characterization of a fuzzy generalization of rough sets
Information Sciences—Informatics and Computer Science: An International Journal
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
Fuzzy rough sets hybrid scheme for breast cancer detection
Image and Vision Computing
On Representing and Generating Kernels by Fuzzy Equivalence Relations
The Journal of Machine Learning Research
Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis
IEEE Transactions on Knowledge and Data Engineering
Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
Reducing the Memory Size of a Fuzzy Case-Based Reasoning System Applying Rough Set Techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
On the generalization of fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring
Fundamenta Informaticae - Knowledge Technology
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Kernel machines and rough sets are two classes of popular learning techniques. Kernel machines enhance traditional linear learning algorithms to deal with nonlinear domains by a nonlinear mapping, while rough sets introduce a human-like manner to deal with uncertainty in learning. Granulation and approximation play a central role in rough sets based learning and reasoning. Fuzzy granulation and fuzzy approximation, which is inspired by the ways in which humans granulate information and reason with it, are widely discussed in literatures. However, how to generate effective fuzzy granules from data has not been fully studied so far. In this work, we integrate kernel functions with fuzzy rough set models and propose two types of kernelized fuzzy rough sets. Kernel functions are employed to compute the fuzzy T-equivalence relations between samples, thus generate fuzzy information granules of the approximation space, and then these fuzzy granules are used to approximate the classification based on the conception of fuzzy lower and upper approximations.