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Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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Self-organization and associative memory: 3rd edition
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Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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Pattern Recognition Letters
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Information Sciences: an International Journal
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Pattern Recognition Letters
A novel approach to fuzzy rough sets based on a fuzzy covering
Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
Rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
Converse approximation and rule extraction from decision tables in rough set theory
Computers & Mathematics with Applications
On generalized intuitionistic fuzzy rough approximation operators
Information Sciences: an International Journal
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Information Sciences: an International Journal
Fuzzy rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
On the evaluation of the decision performance of an incomplete decision table
Data & Knowledge Engineering
On fuzzy approximation operators in attribute reduction with fuzzy rough sets
Information Sciences: an International Journal
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
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Fuzzy Sets and Systems
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Computers & Mathematics with Applications
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Pattern Recognition Letters
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Feature selection with fuzzy decision reducts
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
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IEEE Transactions on Fuzzy Systems
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
Attributes Reduction Using Fuzzy Rough Sets
IEEE Transactions on Fuzzy Systems
A parallel method for computing rough set approximations
Information Sciences: an International Journal
Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system
Information Sciences: an International Journal
On characterization of generalized interval type-2 fuzzy rough sets
Information Sciences: an International Journal
Information Sciences: an International Journal
Rough set model based on formal concept analysis
Information Sciences: an International Journal
The necessary and sufficient conditions for a fuzzy relation being Τ-Euclidean
Information Sciences: an International Journal
Information Sciences: an International Journal
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Methods of fuzzy rule extraction based on rough set theory are rarely reported in incomplete interval-valued fuzzy information systems. Thus, this paper deals with such systems. Instead of obtaining rules by attribute reduction, which may have a negative effect on inducting good rules, the objective of this paper is to extract rules without computing attribute reducts. The data completeness of missing attribute values is first presented. Positive and converse approximations in interval-valued fuzzy rough sets are then defined, and their important properties are discussed. Two algorithms based on positive and converse approximations, namely, mine rules based on the positive approximation (MRBPA) and mine rules based on the converse approximation (MRBCA), are proposed for rule extraction. The two algorithms are evaluated by several data sets from the UC Irvine Machine Learning Repository. The experimental results show that MRBPA and MRBCA achieve better classification performances than the method based on attribute reduction.