Computer algorithms: introduction to design and analysis (2nd ed.)
Computer algorithms: introduction to design and analysis (2nd ed.)
A genetic algorithm method for optimizing fuzzy decision trees
Information Sciences: an International Journal
Unsupervised feature selection using a neuro-fuzzy approach
Pattern Recognition Letters
Adaptive floating search methods in feature selection
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
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
Feature selection with neural networks
Pattern Recognition Letters
A Comparison of Seven Techniques for Choosing Subsets of Pattern Recognition Properties
IEEE Transactions on Computers
Integrated feature architecture selection
IEEE Transactions on Neural Networks
Neural-network feature selector
IEEE Transactions on Neural Networks
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
On the extension of functional dependency degree from crisp to fuzzy partitions
Pattern Recognition Letters
Granulation of a fuzzy set: Nonspecificity
Information Sciences: an International Journal
Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
EROS: Ensemble rough subspaces
Pattern Recognition
A parameterless feature ranking algorithm based on MI
Neurocomputing
Mixed feature selection based on granulation and approximation
Knowledge-Based Systems
Approximations and reducts with covering generalized rough sets
Computers & Mathematics with Applications
On fuzzy approximation operators in attribute reduction with fuzzy rough sets
Information Sciences: an International Journal
Measures of general fuzzy rough sets on a probabilistic space
Information Sciences: an International Journal
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
Computers & Mathematics with Applications
Distribution System Fault Diagnosis Based on Improved Rough Sets with Uncertainty
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Attribute Reduction Based on Fuzzy Rough Sets
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
Expert Systems with Applications: An International Journal
Adapted variable precision rough set approach for EEG analysis
Artificial Intelligence in Medicine
Attribute dependency functions considering data efficiency
International Journal of Approximate Reasoning
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
Information Sciences: an International Journal
On the compact computational domain of fuzzy-rough sets
Pattern Recognition Letters
Analysis on classification performance of rough set based reducts
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Consistency based attribute reduction
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Local reduction of decision system with fuzzy rough sets
Fuzzy Sets and Systems
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Rough cluster algorithm based on kernel function
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
A new knowledge reduction algorithm based on decision power in rough set
Transactions on rough sets XII
Transactions on rough sets XII
On attribute reduction of rough set based on pruning rules
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
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 set based attribute reduction for information systems with fuzzy decisions
Knowledge-Based Systems
Rule extraction based on granulation order in interval-valued fuzzy information system
Expert Systems with Applications: An International Journal
Dominance-based rough set model in intuitionistic fuzzy information systems
Knowledge-Based Systems
Decision table reduction in KDD: fuzzy rough based approach
Transactions on Rough Sets XI
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
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Information Sciences: an International Journal
Rough set approach to incomplete numerical data
Information Sciences: an International Journal
Fuzzy rough DEA model: A possibility and expected value approaches
Expert Systems with Applications: 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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In this paper, we have shown that the fuzzy-rough set attribute reduction algorithm [Jenson, R., Shen, Q., 2002. Fuzzy-rough sets for descriptive dimensionality reduction. In: Proceedings of IEEE International Conference on Fuzzy Systems, FUZZ-IEEE'02, May 12-17, pp. 29-34] is not convergent on many real datasets due to its poorly designed termination criteria; and the computational complexity of the algorithm increases exponentially with increase in the number of input variables and in multiplication with the size of data patterns. Based on natural properties of fuzzy t-norm and t-conorm, we have put forward the concept of fuzzy-rough sets on compact computational domain, which is then utilized to improve the computational efficiency of FRSAR algorithm. Speed up factor as high as 622 have been achieved with this concept with improved accuracy. We also restructure the algorithm with efficient termination criteria to achieve the convergence on all the datasets and to improve the reliability of selected set of features.