Recently, an interesting and natural research topic is to study rough set theory via matroid
theory. We can introduce matroidal approaches to rough set theory and rough set methods …

Rough set theory is a useful tool for dealing with the vagueness, granularity and uncertainty
in information systems. This paper connects generalized rough sets based on relations with …

Covering is a common form of data representation, and covering-based rough sets, a
technique of granular computing, provide an effective tool to deal with this type of data …

Rough set theory is a useful tool for data mining. In recent yeas, ones have combined it with
matroid theory to construct an excellent set-theoretical framework for empirical machine …

Rough sets provide an efficient tool for attribute reduction and rule extraction. However,
many important problems in rough set theory, including attribute reduction, are NP-hard and …

Recently, the relationship between matroids and generalized rough sets based on relations
has been studied from the viewpoint of linear independence of matrices. In this paper, we …

As an important technique for granular computing, rough sets deal with vagueness and
granularity in information systems. Rough sets are usually used in attribute reduction …

Rough set theory is an effective tool for dealing with vagueness or uncertainty in information
systems. It is efficient for data pre-process and widely used in attribute reduction in data …

In this paper, we propose an integration of rough sets, matroids and topology to exploit the
advantages of three theories. First, we consider topologies induced by binary relations and …

Rough set is mainly concerned with the approximations of objects through an equivalence
relation on a universe. Matroid is a generalization of linear algebra and graph theory …