Fuzzy coverings are a natural extension of the coverings by replacing crisp sets with fuzzy
sets. Recently, an excellent introduction to the definition of a fuzzy β-covering is due to Ma …

By introducing the new concepts of fuzzy β-covering and fuzzy β-neighborhood, we define
two new types of fuzzy covering rough set models which can be regarded as bridges linking …

In this paper, we study a new type of fuzzy covering-based rough set model by introducing
the notion of fuzzy β-minimal description. We mainly address the following issues in this …

All fuzzy covering-based rough set models are constructed under a corresponding fuzzy
covering approximation space (FCAS). The fuzzy β-covering approximation space (β-FCAS) …

Fuzzy-covering rough sets, as an effective extension of covering-based rough sets, have
been concerned by many researchers. All fuzzy-covering rough set models are constructed …

In this paper, we propose new lower and upper approximations and obtain some important
properties in generalized rough set induced by a covering. Especially, these properties are …

Fuzzy rough set (FRS) has a great effect on data mining processes and the fuzzy logical
operators play a key role in the development of FRS theory. In order to generalize the FRS …

Covering-based rough sets are important generalizations of the classical rough sets of
Pawlak. In this paper, by means of j-neighborhoods, complementary j-neighborhoods and j …

Fuzzy covering-based rough set models are hybrid models using both rough set and fuzzy
set theory. The former is often used to deal with uncertain and incomplete information, while …

By combining covering based rough sets, fuzzy rough sets, and multigranulation rough sets,
we introduce covering based multigranulation fuzzy rough set models by means of fuzzy β β …