Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Fuzzy rough sets: application to feature selection
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
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
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Information Sciences—Informatics and Computer Science: An International Journal
On Axiomatic Characterization of Fuzzy Approximation Operators II. The Rough Fuzzy Set Based Case
ISMVL '01 Proceedings of the 31st IEEE International Symposium on Multiple-Valued 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
Rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
On generalized intuitionistic fuzzy rough approximation operators
Information Sciences: an International Journal
On characterization of intuitionistic fuzzy rough sets based on intuitionistic fuzzy implicators
Information Sciences: an International Journal
On characterizations of ( I,T)-fuzzy rough approximation operators
Fuzzy Sets and Systems
On the representation of intuitionistic fuzzy t-norms and t-conorms
IEEE Transactions on Fuzzy Systems
Rough approximations of vague sets in fuzzy approximation space
International Journal of Approximate Reasoning
Covering rough sets based on neighborhoods: An approach without using neighborhoods
International Journal of Approximate Reasoning
Categorical properties of M-indiscernibility spaces
Theoretical Computer Science
An interval set model for learning rules from incomplete information table
International Journal of Approximate Reasoning
Nearness approximation space based on axiomatic fuzzy sets
International Journal of Approximate Reasoning
Probabilistic rough set over two universes and rough entropy
International Journal of Approximate Reasoning
Graded rough set model based on two universes and its properties
Knowledge-Based Systems
On characterization of generalized interval type-2 fuzzy rough sets
Information Sciences: an International Journal
The necessary and sufficient conditions for a fuzzy relation being Τ-Euclidean
Information Sciences: an International Journal
Rough set theory for the incomplete interval valued fuzzy information systems
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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This paper proposes a general study of (I,T)-interval-valued fuzzy rough sets on two universes of discourse integrating the rough set theory with the interval-valued fuzzy set theory by constructive and axiomatic approaches. Some primary properties of interval-valued fuzzy logical operators and the construction approaches of interval-valued fuzzy T-similarity relations are first introduced. Determined by an interval-valued fuzzy triangular norm and an interval-valued fuzzy implicator, a pair of lower and upper generalized interval-valued fuzzy rough approximation operators with respect to an arbitrary interval-valued fuzzy relation on two universes of discourse is then defined. Properties of I-lower and T-upper interval-valued fuzzy rough approximation operators are examined based on the properties of interval-valued fuzzy logical operators discussed above. Connections between interval-valued fuzzy relations and interval-valued fuzzy rough approximation operators are also established. Finally, an operator-oriented characterization of interval-valued fuzzy rough sets is proposed, that is, interval-valued fuzzy rough approximation operators are characterized by axioms. Different axiom sets of I-lower and T-upper interval-valued fuzzy set-theoretic operators guarantee the existence of different types of interval-valued fuzzy relations which produce the same operators.