Add to ORKGAbstract — In this paper we propose that a vague set can be approximated by two vague sets in Pawlak’s approximation space. Consequently we define rough vague set and study their properties. Some propositions on rough vague sets are proved. Copyright c © 2008 Yang’s Scientific Research Institute, LLC. Al
Abstract. In this paper we focus upon a comparison of some generalized rough approximations of sets,...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
Abstract — Both rough sets theory and vague sets theory are emerging as powerful tool for managing u...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
Abstract. We present a rough set approach to vague concept approxi-mation within the adaptive learni...
Adopting Zakowski-s upper approximation operator C and lower approximation operator C, this paper in...
The paper proposes a new formal approach to vagueness and vague sets taking inspirations from Pawlak...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
In this paper we propose generalization of Ziarko's approach (1990) to the rough sets. Main ide...
This paper proposes new definitions of lower and upper approximations, which are basic concepts of t...
Abstract. In the paper we discuss approximation spaces relevant for rough-neuro computing
Abstract. In this paper we focus upon a comparison of some generalized rough approximations of sets,...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
Abstract — Both rough sets theory and vague sets theory are emerging as powerful tool for managing u...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
Abstract. We present a rough set approach to vague concept approxi-mation within the adaptive learni...
Adopting Zakowski-s upper approximation operator C and lower approximation operator C, this paper in...
The paper proposes a new formal approach to vagueness and vague sets taking inspirations from Pawlak...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
In this paper we propose generalization of Ziarko's approach (1990) to the rough sets. Main ide...
This paper proposes new definitions of lower and upper approximations, which are basic concepts of t...
Abstract. In the paper we discuss approximation spaces relevant for rough-neuro computing
Abstract. In this paper we focus upon a comparison of some generalized rough approximations of sets,...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...