… information granulation (section 2), and we introduce a novel granulation, the Parameterized
Granulation, to overcome the aforementioned drawbacks of such granulations (section 3.1). …

… three-way rough set based approach for approximation of decision … a new concept of
approximation space which is based on … the case of decision granule approximations in distributed …

… information in the formation of approximation space. In this paper, we first present a local
rough set … as: (1) The local rough set theory is extended to the multiple granulation ordered …

… rough sets and Pythagorean fuzzy sets, we propose rough Pythagorean fuzzy approximations
… Extending the Pawlak’s rough set approximations, this paper presents rough Pythagorean …

… rough set theory, we need to obtain all information classes of the objects coming from universe
for approximating … Each granule denotes different characters, thus we should study the …

… a pair of approximation operators are formulated … Rough sets and its generalized models
play a vital role in granular computing. Zadeh first suggested the idea of information granulation …

… -granulation neighborhood dominant rough sets, based on a matrix form, in an intuitionistic
fuzzy ordered information … multi-granulation neighborhood dominant rough sets. Additionally, …

… applied to DRS, and we intend to use granule-based methods to address the two …
approximation calculation method, called DIGAC (Dual Information Granule-based Approximation …

… five neighborhood rough sets for information granulation of … to evaluate the results of
information granulation. The AQ column … Uma Maheswari, “Rough set based rule approximation …

… precision multi-decision multi-granulation rough set (VPMDMGRS) models with respect to
… ’s rough set is limited to the lower and upper approximations under single granulation in the …