Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
Generalized rough sets over fuzzy lattices
Information Sciences: an International Journal
On generalized intuitionistic fuzzy rough approximation operators
Information Sciences: an International Journal
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
Interval ordered information systems
Computers & Mathematics with Applications
International Journal of Approximate Reasoning
Control approach to rough set reduction
Computers & Mathematics with Applications
Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
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
A Development of Inclusion-degree-based Rough Fuzzy Random Sets
Fundamenta Informaticae
On characterization of intuitionistic fuzzy rough sets based on intuitionistic fuzzy implicators
Information Sciences: an International Journal
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Set-valued ordered information systems
Information Sciences: an International Journal
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Reasoning within expressive fuzzy rough description logics
Fuzzy Sets and Systems
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
Attribute dependency functions considering data efficiency
International Journal of Approximate Reasoning
An interval type-2 fuzzy rough set model for attribute reduction
IEEE Transactions on Fuzzy Systems
The model of fuzzy variable precision rough sets
IEEE Transactions on Fuzzy Systems
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
Feature selection for aiding glass forensic evidence analysis
Intelligent Data Analysis
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
Rough neuro-fuzzy structures for classification with missing data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Are more features better? a response to attributes reduction using fuzzy rough sets
IEEE Transactions on Fuzzy Systems
An Interval-Valued Intuitionistic Fuzzy Rough Set Model
Fundamenta Informaticae
Fuzzy preference based rough sets
Information Sciences: an International Journal
Local reduction of decision system with fuzzy rough sets
Fuzzy Sets and Systems
The effect of linguistic hedges on feature selection: Part 2
Expert Systems with Applications: An International Journal
Consistency and fuzziness in ordered decision tables
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Stability analysis on rough set based feature evaluation
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Feature selection with fuzzy decision reducts
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
An uncertain reasoning approach with application to satellite fault detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
The Knowledge Engineering Review
International Journal of Approximate Reasoning
Attribute reduction based on generalized fuzzy evidence theory in fuzzy decision systems
Fuzzy Sets and 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
Rule extraction based on granulation order in interval-valued fuzzy information system
Expert Systems with Applications: An International Journal
Machine learning approach to model sport training
Computers in Human Behavior
Determination of the threshold value β of variable precision rough set by fuzzy algorithms
International Journal of Approximate Reasoning
An efficient fuzzy-rough attribute reduction approach
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Information Sciences: an International Journal
Distance: A more comprehensible perspective for measures in rough set theory
Knowledge-Based Systems
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
Geometrical interpretation and applications of membership functions with fuzzy rough sets
Fuzzy Sets and Systems
Generalized intuitionistic fuzzy rough sets based on intuitionistic fuzzy coverings
Information Sciences: an International Journal
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Information Sciences: an International Journal
A self learning rough fuzzy neural network classifier for mining temporal patterns
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Clustering and classifying informative attributes using rough set theory
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
On Some Mathematical Structures of T-Fuzzy Rough Set Algebras in Infinite Universes of Discourse
Fundamenta Informaticae - Advances in Rough Set Theory
Knowledge reduction based on evidence reasoning theory in interval ordered information systems
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
An Interval-Valued Intuitionistic Fuzzy Rough Set Model
Fundamenta Informaticae
A Development of Inclusion-degree-based Rough Fuzzy Random Sets
Fundamenta Informaticae
On interval type-2 rough fuzzy sets
Knowledge-Based Systems
On characterization of generalized interval type-2 fuzzy rough sets
Information Sciences: an International Journal
Information Sciences: an International Journal
Attribute reduction for dynamic data sets
Applied Soft Computing
Attribute reduction: A dimension incremental strategy
Knowledge-Based Systems
FRPS: A Fuzzy Rough Prototype Selection method
Pattern Recognition
Feature subset selection Filter-Wrapper based on low quality data
Expert Systems with Applications: An International Journal
A fuzzy-rough data pre-processing approach for the dendritic cell classifier
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A novel method for attribute reduction of covering decision systems
Information Sciences: an International Journal
Generalized fuzzy rough approximation operators determined by fuzzy implicators
International Journal of Approximate Reasoning
Multigranulation decision-theoretic rough sets
International Journal of Approximate Reasoning
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
International Journal of Approximate Reasoning
Structure of feature spaces related to fuzzy similarity relations as kernels
Fuzzy Sets and Systems
Pessimistic rough set based decisions: A multigranulation fusion strategy
Information Sciences: an International Journal
A Comparative Study of Ordered and Covering Information Systems
Fundamenta Informaticae
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Attribute selection (AS) refers to the problem of selecting those input attributes or features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. Unlike other dimensionality reduction methods, attribute selectors preserve the original meaning of the attributes after reduction. This has found application in tasks that involve datasets containing huge numbers of attributes (in the order of tens of thousands) which, for some learning algorithms, might be impossible to process further. Recent examples include text processing and web content classification. AS techniques have also been applied to small and medium-sized datasets in order to locate the most informative attributes for later use. One of the many successful applications of rough set theory has been to this area. The rough set ideology of using only the supplied data and no other information has many benefits in AS, where most other methods require supplementary knowledge. However, the main limitation of rough set-based attribute selection in the literature is the restrictive requirement that all data is discrete. In classical rough set theory, it is not possible to consider real-valued or noisy data. This paper investigates a novel approach based on fuzzy-rough sets, fuzzy rough feature selection (FRFS), that addresses these problems and retains dataset semantics. FRFS is applied to two challenging domains where a feature reducing step is important; namely, web content classification and complex systems monitoring. The utility of this approach is demonstrated and is compared empirically with several dimensionality reducers. In the experimental studies, FRFS is shown to equal or improve classification accuracy when compared to the results from unreduced data. Classifiers that use a lower dimensional set of attributes which are retained by fuzzy-rough reduction outperform those that employ more attributes returned- by the existing crisp rough reduction method. In addition, it is shown that FRFS is more powerful than the other AS techniques in the comparative study