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

… rough set model in multi-granulation environment. Indisputably, information granulation and
approximation approaches are two headstones of rough set theory. We easily note that most …

… [39] proposed a fuzzy rough set model based on Gauss kernel approximation and … ’s rough
set model, multi-granulation rough set model and multi-source fuzzy information system. More …

… rough set in an ordered information system to overcome the above-mentioned limitation.
Firstly, to reduce the computing time of the information granule … concept to approximate this …

… concepts of a rough set model: the lower and upper approximations. Based on these two …
introduced for classical information systems, the multi-granulation rough sets can also be …

… 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 …

… By considering rough sets in different granulations, one can introduce the concept of an … In
Section 6, we compare four types of rough set approximations in a multigranulation space and …

… extended Pawlak’s single granulation rough set model to a multiple granulation rough …
the approximation sets in optimistic multigranulation rough set, pessimistic multigranulation …

… First, we build the generalized multi-granulation rough set model for MsIS and its relevant
properties are investigated and proved. Second, based on the proposed model, we introduce …