Feature selection with fuzzy decision reducts

Authors:
Chris Cornelis;Germán Hurtado Martín;Richard Jensen;Dominik Ślęzak
Affiliations:
Dept. of Mathematics and Computer Science, Ghent University, Gent, Belgium;Dept. of Mathematics and Computer Science, Ghent University, Gent, Belgium and Dept. of Industrial Sciences, Hogeschool Gent, Gent, Belgium;Dept. of Computer Science, The University of Wales, Aberystwyth, UK;Infobright Inc., Toronto, Canada
Venue:
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Year:
2008

Citing 5
Cited 10

A comparative study of fuzzy rough sets

Fuzzy Sets and Systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Learning fuzzy rules from fuzzy samples based on rough set technique

Information Sciences: an International Journal
New approaches to fuzzy-rough feature selection

IEEE Transactions on Fuzzy Systems
Fuzzy-Rough Sets Assisted Attribute Selection

IEEE Transactions on Fuzzy Systems

A New Approach to Fuzzy-Rough Nearest Neighbour Classification

RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Attribute selection with fuzzy decision reducts

Information Sciences: an International Journal
The model of fuzzy variable precision rough sets

IEEE Transactions on Fuzzy Systems
Interval-valued fuzzy-rough feature selection in datasets with missing values

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Measures for unsupervised fuzzy-rough feature selection

International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Positive approximation and converse approximation in interval-valued fuzzy rough sets

Information Sciences: an International Journal
Fuzzy-rough nearest neighbour classification

Transactions on rough sets XIII
Rough sets in the Soft Computing environment

Information Sciences: an International Journal
Unsupervised fuzzy-rough set-based dimensionality reduction

Information Sciences: an International Journal
A novel feature selection method and its application

Journal of Intelligent Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach.