Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
On fuzzy approximation operators in attribute reduction with fuzzy rough sets
Information Sciences: an International Journal
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
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
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
Are more features better? a response to attributes reduction using fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Fuzzy-rough approaches for mammographic risk analysis
Intelligent Data Analysis - Knowledge Discovery in Bioinformatics
A framework for clustering categorical time-evolving data
IEEE Transactions on Fuzzy Systems
The Knowledge Engineering Review
Finding key attribute subset in dataset for outlier detection
Knowledge-Based Systems
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
A vague-rough set approach for uncertain knowledge acquisition
Knowledge-Based Systems
Rule extraction based on granulation order in interval-valued fuzzy information system
Expert Systems with Applications: An International Journal
An efficient fuzzy-rough attribute reduction approach
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Case-based classifiers with fuzzy rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Information Sciences: an International Journal
Decision table reduction in KDD: fuzzy rough based approach
Transactions on Rough Sets XI
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
A self learning rough fuzzy neural network classifier for mining temporal patterns
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Intelligent intrusion detection system using fuzzy rough set based C4.5 algorithm
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
On interval type-2 rough fuzzy sets
Knowledge-Based Systems
Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
On characterization of generalized interval type-2 fuzzy rough sets
Information Sciences: an International Journal
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
An accelerator for attribute reduction based on perspective of objects and attributes
Knowledge-Based Systems
Rough set approach to incomplete numerical data
Information Sciences: an International Journal
FRPS: A Fuzzy Rough Prototype Selection method
Pattern Recognition
A novel variable precision (θ,σ)-fuzzy rough set model based on fuzzy granules
Fuzzy Sets and Systems
Structure of feature spaces related to fuzzy similarity relations as kernels
Fuzzy Sets and Systems
An improved algorithm for calculating fuzzy attribute reducts
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
Fuzzy rough sets are the generalization of traditional rough sets to deal with both fuzziness and vagueness in data. The existing researches on fuzzy rough sets are mainly concentrated on the construction of approximation operators. Less effort has been put on the attributes reduction of databases with fuzzy rough sets. This paper mainly focuses on the attributes reduction with fuzzy rough sets. After analyzing the previous works on attributes reduction with fuzzy rough sets, we introduce formal concepts of attributes reduction with fuzzy rough sets and completely study the structure of attributes reduction. An algorithm using discernibility matrix to compute all the attributes reductions is developed. Based on these lines of thought, we set up a solid mathematical foundation for attributes reduction with fuzzy rough sets. The experimental results show that the idea in this paper is feasible and valid.