Variable precision multigranulation fuzzy rough sets (VP-MFRSs) use two direct integrations:
the multigranulation maximum and minimum. Their optimistic and pessimistic models …

Multigranulation fuzzy rough sets (MFRSs), variable precision fuzzy rough sets (VPFRSs)
and their combinations with traditional decision-making methods are fundamental in the …

The notion of covering based multigranulation fuzzy rough set (CMGFRS) models is a
generalization of both granular computing and covering based fuzzy rough sets. Therefore it …

A common approach to constructing fuzzy rough sets (FRSs) is using t-norms. Furthermore,
establishing multi-granulation fuzzy rough sets (MGFRSs) is also usually undertaken by …

This paper studies reduction of a multigranulation fuzzy information system by using
uncertainty measures based on variable precision multigranulation decision-theoretic fuzzy …

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

Through a combination of overlap functions (which have symmetry and continuity) and a
fuzzy β-covering fuzzy rough set (FCFRS), a new class of FCFRS models is established, and …

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 …

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 …

Preference analysis is a class of important issues in multi-criteria decision making. The
rough set theory is a powerful approach to handle preference analysis. In order to solve the …