AbstractRough approximation operators in approximation spaces are the core concept of rough set theory, which draw close links between rough set theory and topology. In this paper, we investigate rough approximation operators, study IF topologies induced by reflexive IF relations and give topological properties of IF approximation spaces
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
Abstract. Approximation spaces are fundamental for the rough set ap-proach. We discuss their applica...
Rough approximation operators in approximation spaces are the core concept of rough set theory, whic...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
An approximation space is a key concept in rough set theory, which plays an important role to approx...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
AbstractIn this paper, we investigate some properties of (X,τθ) such as compactness, separate proper...
Rough sets, developed by Pawlak, are an important model of incomplete or partially known information...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
Abstract. Approximation spaces are fundamental for the rough set ap-proach. We discuss their applica...
Rough approximation operators in approximation spaces are the core concept of rough set theory, whic...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
An approximation space is a key concept in rough set theory, which plays an important role to approx...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
AbstractIn this paper, we investigate some properties of (X,τθ) such as compactness, separate proper...
Rough sets, developed by Pawlak, are an important model of incomplete or partially known information...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
Abstract. Approximation spaces are fundamental for the rough set ap-proach. We discuss their applica...