The original rough set model was developed by Pawlak, which is mainly concerned with the
approximation of sets described by a single binary relation on the universe. In the view of …

The original rough set model is primarily concerned with the approximations of sets
described by a single equivalence relation on the universe. Some further investigations …

The original rough set model is concerned primarily with the approximation of sets described
by single binary relation on universe. In the view of granular computing, classical rough set …

There exist several approaches to rough set approximations in a multigranulation space,
namely, a family of equivalence relations. In this paper, we propose a unified framework to …

The original rough-set model is primarily concerned with the approximations of sets
described by a single equivalence relation on a given universe. With granular computing …

Multigranulation rough set theory is a desirable direction in the field of rough set, in which
upper and lower approximations are approximated by multiple granular structures. However …

Rough sets proved to be very useful for analysis of decision problems concerning objects
described in a data table by a set of condition attributes and by a set of decision attributes. In …

The original rough set model, ie, Pawlak's single-granulation rough set model has been
extended to a multigranulation rough set model, where two kinds of multigranulation …

Recently, a multigranulation rough set (MGRS) has become a new direction in rough set
theory, which is based on multiple binary relations on the universe. However, it is worth …

Multigranulation rough sets (MGRS) is one of desirable directions in rough set theory, in
which lower/upper approximations are approximated by granular structures induced by …