Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy rough sets are intuitionistic L-fuzzy sets
Fuzzy Sets and Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
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
Fuzzy Sets and Systems
Characterisation of main classes of fuzzy relations using fuzzy modal operators
Fuzzy Sets and Systems
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
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
An Interpretation of Rough Sets in Incomplete Information Systems within Intuitionistic Fuzzy Sets
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
An Interval-Valued Intuitionistic Fuzzy Rough Set Model
Fundamenta Informaticae
Transformation of bipolar fuzzy rough set models
Knowledge-Based Systems
Generalized intuitionistic fuzzy rough sets based on intuitionistic fuzzy coverings
Information Sciences: an International Journal
An Interval-Valued Intuitionistic Fuzzy Rough Set Model
Fundamenta Informaticae
Bipolar fuzzy rough set model on two different universes and its application
Knowledge-Based Systems
Information Sciences: an International Journal
Uncertainty measure of Atanassov's intuitionistic fuzzy T equivalence information systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Intuitionistic fuzzy sets, originally introduced by Atanassov, allow for representation both degrees of membership and degrees of non–membership of an element to a set. In this paper we present a generalisation of Pawlak's rough approximation operations taking Atanassov's structures as a basis. A special class of residuated lattices is taken as a basic algebraic structure. In the signature of these algebras we have abstract counterparts of two main classes of fuzzy implications. We show that basing on these lattices we can express degrees of weak and strong certainties and possibilities of membership and non–membership of an element to a set.