A first course in fuzzy logic
Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Grey-Scale Morphology Based on Fuzzy Logic
Journal of Mathematical Imaging and Vision
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
The construction of consistent possibility and necessity measures
Fuzzy Sets and Systems - Possibility theory and fuzzy logic
An axiomatic characterization of a fuzzy generalization of rough sets
Information Sciences—Informatics and Computer Science: An International Journal
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
On the generalization of fuzzy rough sets
IEEE Transactions on Fuzzy Systems
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A fuzzy rough set is a fuzzy generalization of rough set. There are already several definitions for it, and most of them are given with reference to a t-norm *, a fuzzy (*-)similarity relation and the duality principle. In this paper, a generalization of fuzzy rough sets is investigated regarding a general fuzzy relation and a lower semi-continuous fuzzy conjunction logical operator in its second argument. The generalized fuzzy rough approximation operators are established by using the adjunction between the fuzzy conjunction operator and a fuzzy implication operator. Algebraic properties of the generalized fuzzy rough approximation operators are discussed. It has been shown that information with much more necessity measure and with less probability measure for a fuzzy set can be mined in comparison with existing methods of fuzzy rough sets.