Quotients with respect to similarity relations
Fuzzy Sets and Systems - Mathematics and Fuzziness, Part 1
C4.5: programs for machine learning
C4.5: programs for machine learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
The Ant System Applied to the Quadratic Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
On the representation of fuzzy rules in terms of crisp rules
Information Sciences—Informatics and Computer Science: An International Journal
Using fuzzy dependency-guided attribute grouping in feature selection
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
From approximative to descriptive fuzzy classifiers
IEEE Transactions on Fuzzy Systems
On the extension of functional dependency degree from crisp to fuzzy partitions
Pattern Recognition Letters
Object segmentation using ant colony optimization algorithm and fuzzy entropy
Pattern Recognition Letters
Granulation of a fuzzy set: Nonspecificity
Information Sciences: an International Journal
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Review: Dimensionality reduction based on rough set theory: A review
Applied Soft Computing
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
Computers and Industrial Engineering
Power load forecasting using support vector machine and ant colony optimization
Expert Systems with Applications: An International Journal
Two cooperative ant colonies for feature selection using fuzzy models
Expert Systems with Applications: An International Journal
Input selection in learning systems: a brief review of some important issues and recent developments
FUZZ-IEEE'09 Proceedings of the 18th international conference 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
Local reduction of decision system with fuzzy rough sets
Fuzzy Sets and Systems
Feature selection using rough-DPSO in anomaly intrusion detection
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Impact analysis of Jensen and Sk pal fuzzification in classification
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
A fast visual word frequency - inverse image frequency for detector of rare concepts
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
The Knowledge Engineering Review
Attribute reduction based on generalized fuzzy evidence theory in fuzzy decision systems
Fuzzy Sets and Systems
Computers in Biology and Medicine
Fuzzy criteria for feature selection
Fuzzy Sets and Systems
Geometrical interpretation and applications of membership functions with fuzzy rough sets
Fuzzy Sets and Systems
The ϑ-lower and T-upper fuzzy rough approximation operators on a semigroup
Information Sciences: an International Journal
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
An improved algorithm for calculating fuzzy attribute reducts
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. In particular, solution to this has found successful application in tasks that involve datasets containing huge numbers of features (in the order of tens of thousands), which would be impossible to process further. Recent examples include text processing and web content classification. Rough set theory has been used as such a dataset pre-processor with much success, but current methods are inadequate at finding minimal reductions, the smallest sets of features possible. To alleviate this difficulty, a feature selection technique that employs a hybrid variant of rough sets, fuzzy-rough sets, has been developed recently and has been shown to be effective. However, this method is still not able to find the optimal subsets regularly. This paper proposes a new feature selection mechanism based on ant colony optimization in an attempt to combat this. The method is then applied to the problem of finding optimal feature subsets in the fuzzy-rough data reduction process. The present work is applied to complex systems monitoring and experimentally compared with the original fuzzy-rough method, an entropy-based feature selector, and a transformation-based reduction method, PCA. Comparisons with the use of a support vector classifier are also included.