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

Multi? granulation is an improvement of the classical rough set theory since it uses a family
of binary relations instead of of a single indiscernibility relation for the constructing of …

This paper studies variable precision multigranulation fuzzy decision-theoretic rough sets in
an information system. We firstly review definitions and properties of multigranulation fuzzy …

Exploring rough sets from the perspective of covering represents a promising direction in
rough set theory, where concepts are approximated by substituting of an equivalent relation …

Decision-theoretic rough set (DTRS) and multi-granulation rough set (MGRS) are two
important extended types of Pawlak's classical rough set model. The two generalized rough …

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 …

Covering-based multigranulation fuzzy rough sets are a natural extension of the
multigranulation rough sets by replacing crisp sets with fuzzy sets. Recently, the covering …

Intuitionistic fuzzy rough sets are the generalization of traditional rough sets by combining
intuitionistic fuzzy set theory and rough set theory. The existing researches on intuitionistic …

The original Pawlak's rough set approach based on indiscernibility relation (single
granularity) has been extended to multigranulation rough set structure in the recent years …

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