Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
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
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Rough Approximate Operators: Axiomatic Rough Set Theory
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Information Sciences—Informatics and Computer Science: An International Journal
An axiomatic characterization of a fuzzy generalization of rough sets
Information Sciences—Informatics and Computer Science: An International Journal
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Fuzzy rough sets based on residuated lattices
Transactions on Rough Sets II
Generalized lower and upper approximations in a ring
Information Sciences: an International Journal
Systemic approach to fuzzy logic formalization for approximate reasoning
Information Sciences: an International Journal
Multi knowledge based rough approximations and applications
Knowledge-Based Systems
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
The ϑ-lower and T-upper fuzzy rough approximation operators on a semigroup
Information Sciences: an International Journal
Rough set theory applied to lattice theory
Information Sciences: an International Journal
An application of rough sets to graph theory
Information Sciences: an International Journal
NMGRS: Neighborhood-based multigranulation rough sets
International Journal of Approximate Reasoning
The necessary and sufficient conditions for a fuzzy relation being Τ-Euclidean
Information Sciences: an International Journal
Some properties of generalized rough sets
Information Sciences: an International Journal
Approximation operators on complete completely distributive lattices
Information Sciences: an International Journal
Generalized fuzzy rough approximation operators determined by fuzzy implicators
International Journal of Approximate Reasoning
Multi-granulation fuzzy rough sets
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Rough sets based on complete completely distributive lattice
Information Sciences: an International Journal
Rough sets based on complete completely distributive lattice
Information Sciences: an International Journal
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Dubois and Prade (1990) [1] introduced the notion of fuzzy rough sets as a fuzzy generalization of rough sets, which was originally proposed by Pawlak (1982) [8]. Later, Radzikowska and Kerre introduced the so-called (I,T)-fuzzy rough sets, where I is an implication and T is a triangular norm. In the present paper, by using a pair of implications (I,J), we define the so-called (I,J)-fuzzy rough sets, which generalize the concept of fuzzy rough sets in the sense of Radzikowska and Kerre, and that of Mi and Zhang. Basic properties of (I,J)-fuzzy rough sets are investigated in detail.