AbstractIn this current paper we reveal a mathematical tool that helps us to comprehend certain natural phenomena. The main idea of this tool is a possible generalization of approximations of sets relying on the partial covering of the universe of discourse.Our starting point will be an arbitrary nonempty family B of subsets of an arbitrary nonempty universe U. On the analogy of the definition of Pawlak’s type σ-algebra σ(U/ε) over a finite universe, let DB denote the family of subsets of U which contains the empty set and every set in B and it is closed under unions. However, DB neither covers the universe nor is closed under intersections in general. Our notions of lower and upper approximations are straightforward point-free generalizati...
AbstractWe focus on families of Pawlak approximation spaces, called multiple-source approximation sy...
We shall consider the problem of approximating regular languages by languages belonging to a given +...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...
AbstractIn this current paper we reveal a mathematical tool that helps us to comprehend certain natu...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
The subject of the thesis is the set approximation. First, in the early 1980's, Z. Pawlak raised the...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractThis paper studies rough sets from the operator-oriented view by matroidal approaches. We fi...
Covering-based rough sets is an extension of rough sets and it is based on a covering instead of a p...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...
AbstractThe concept of approximation spaces is a key notion of rough set theory, which is an importa...
AbstractWe focus on families of Pawlak approximation spaces, called multiple-source approximation sy...
We shall consider the problem of approximating regular languages by languages belonging to a given +...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...
AbstractIn this current paper we reveal a mathematical tool that helps us to comprehend certain natu...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
The subject of the thesis is the set approximation. First, in the early 1980's, Z. Pawlak raised the...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractThis paper studies rough sets from the operator-oriented view by matroidal approaches. We fi...
Covering-based rough sets is an extension of rough sets and it is based on a covering instead of a p...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...
AbstractThe concept of approximation spaces is a key notion of rough set theory, which is an importa...
AbstractWe focus on families of Pawlak approximation spaces, called multiple-source approximation sy...
We shall consider the problem of approximating regular languages by languages belonging to a given +...
In this paper, we tailor-make new approximation operators inspired by roughset theory and specially ...