Rough set theory is a very effective tool to deal with granularity and vagueness in information systems. Covering-based rough set theory is an extension of classical rough set theory. In this paper, firstly we present the characteristics of the reducible element and the minimal description covering-based rough sets through downsets. Then we establish lattices and topological spaces in coveringbased rough sets through down-sets and up-sets. In this way, one can investigate covering-based rough sets from algebraic and topological points of view
There exist two formulations of rough sets: the conceptual and computational one. The conceptual or ...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
The reductions of covering information systems in terms of covering approximation operators are one ...
AbstractRough set theory is an important technique in knowledge discovery in databases. In covering-...
Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge ...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
Covering-based rough sets is an extension of rough sets and it is based on a covering instead of a p...
Covering is a widely used form of data structures. Covering-based rough set theory provides a system...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractCovering rough sets are natural extensions of the classical rough sets by relaxing the parti...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
The main purpose of this talk is to show how some widely known and well established algebraic and to...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
There exist two formulations of rough sets: the conceptual and computational one. The conceptual or ...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
The reductions of covering information systems in terms of covering approximation operators are one ...
AbstractRough set theory is an important technique in knowledge discovery in databases. In covering-...
Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge ...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
Covering-based rough sets is an extension of rough sets and it is based on a covering instead of a p...
Covering is a widely used form of data structures. Covering-based rough set theory provides a system...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractCovering rough sets are natural extensions of the classical rough sets by relaxing the parti...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
The main purpose of this talk is to show how some widely known and well established algebraic and to...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractIn this paper a generalized notion of an approximation space is considered. By an approximat...
There exist two formulations of rough sets: the conceptual and computational one. The conceptual or ...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
The reductions of covering information systems in terms of covering approximation operators are one ...