AbstractRough set theory is an important technique in knowledge discovery in databases. In covering-based rough sets, many types of rough set models were established in recent years. In this paper, we compare the covering-based rough sets defined by Zhu with ones defined by Xu and Zhang. We further explore the properties and structures of these types of rough set models. We also consider the reduction of coverings. Finally, the axiomatic systems for the lower and upper approximations defined by Xu and Zhang are constructed
In this paper, we present the covering rough sets based on neighborhoods by approximation operations...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
Many different proposals exist for the definition of lower and upper approximation operators in cove...
Covering-based rough sets is an extension of rough sets and it is based on a covering instead of a p...
Rough set theory is a very effective tool to deal with granularity and vagueness in information syst...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
Classical rough set theory is a technique of granular computing for handling the uncertainty, vaguen...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
There exist two formulations of rough sets: the conceptual and computational one. The conceptual or ...
Covering is a widely used form of data structures. Covering-based rough set theory provides a system...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractThe covering generalized rough sets are an improvement of traditional rough set model to dea...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
AbstractThe introduction of covering generalized rough sets has made a substantial contribution to t...
In this paper, we present the covering rough sets based on neighborhoods by approximation operations...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
Many different proposals exist for the definition of lower and upper approximation operators in cove...
Covering-based rough sets is an extension of rough sets and it is based on a covering instead of a p...
Rough set theory is a very effective tool to deal with granularity and vagueness in information syst...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
Classical rough set theory is a technique of granular computing for handling the uncertainty, vaguen...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
There exist two formulations of rough sets: the conceptual and computational one. The conceptual or ...
Covering is a widely used form of data structures. Covering-based rough set theory provides a system...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractThe covering generalized rough sets are an improvement of traditional rough set model to dea...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
AbstractThe introduction of covering generalized rough sets has made a substantial contribution to t...
In this paper, we present the covering rough sets based on neighborhoods by approximation operations...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...