The notion of rough sets was originally proposed by Pawlak. In Pawlak's rough set theory,
the equivalence relation or partition plays an important role. However, the equivalence …

Rough set theory is an important technique to deal with vagueness and granularity in
information systems. In rough set theory, relation-based rough sets and covering-based …

Rough set theory is a powerful tool for dealing with uncertainty, granularity, and
incompleteness of knowledge in information systems. This paper systematically studies a …

Rough set theory has been proposed by Pawlak as a tool for dealing with the vagueness
and granularity in information systems. The core concepts of classical rough sets are lower …

Rough set theory, a mathematical tool to deal with inexact or uncertain knowledge in
information systems, has originally described the indiscernibility of elements by equivalence …

Uncertainty and incompleteness of knowledge are widespread phenomena in information
systems. Rough set theory is a tool for dealing with granularity and vagueness in data …

In 1982, Pawlak proposed the concept of rough sets with a practical purpose of representing
indiscernibility of elements or objects in the presence of information systems. Even if it is …

Pawlak's rough membership functions not only give numerical characterizations of Pawlak's
rough set approximations, but also establishes the relationships between Pawlak's rough …

As a technique for granular computing, rough sets deal with the vagueness and granularity
in information systems. Covering-based rough sets have been proposed to generalize this …

Rough set is a useful tool to deal with partition related uncertainty, granularity, and
incompleteness of knowledge. Although the classical rough set is constructed on the basis …