Rough 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
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
AbstractRough approximation operators in approximation spaces are the core concept of rough set theo...
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...
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...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
In this paper we study the rough probability in the topological spaces which we can consider them as...
Abstract. Approximation spaces are fundamental for the rough set ap-proach. We discuss their applica...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...
Abstract. In the paper we discuss approximation spaces relevant for rough-neuro computing
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
AbstractRough approximation operators in approximation spaces are the core concept of rough set theo...
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...
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...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
In this paper we study the rough probability in the topological spaces which we can consider them as...
Abstract. Approximation spaces are fundamental for the rough set ap-proach. We discuss their applica...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...
Abstract. In the paper we discuss approximation spaces relevant for rough-neuro computing
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
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