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 …

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 of discourse. The existing …

The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …

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 …

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 …

Multigranulation rough sets (MGRSs) where a target concept is approximated by granular
structures induced by multiple binary relations have been applied successfully in many …

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

Exploring rough sets from the perspective of multigranulation represents a promising
direction in rough set theory, where concepts are approximated by multiple granular …

Rough sets have often been studied under a three-valued logic framework. In this paper, we
attempt to extend the previous study in two ways. Firstly, we extend the previous study from …