… approximation accuracy, knowledge granulation and information entropy in Pawlak rough
set theory, we propose the rough accuracy, knowledge granulation and knowledge entropy in …

… of granular computing ba sed on approximate partition［A］. … system based on information
granulation and computing with … On the extension of rough sets under incomplet e information…

… -theoretic rough set[J]. International journal of approximate reasoning, 2014, 55(1):101-115. …
Incorporating logistic regression to decision-theoretic rough sets for classifications[J]. …

… Information quantity is introduced into the lower-approximate distribution reduction of
pessimistic multi-granulation rough set and the information … in the lower-approximate distribution …

… The information granulation is a process of constructing … representation model, ie information
systems. The Pawlak’s rough set model is mainly concerned with the approximation of …

… Then the lower approximation and upper approximation of multi-granulation rough sets are
defined by using similarity classes. Analogously, accuracy of approximations and roughness …

… large scale complex data and information.In many reallife … computing,the notion of a granule
may be interpreted as one … Rough set approximations in incomplete information systems …

… in rough set theory, where concepts are approximated by … set, we construct a new multi-granulation
rough set model, called a multi-granulation covering rough-intuitionistic fuzzy set …

… of upper and lower approximation operators of … granule rough sets is discussed by defining
the accuracy and roughness of two kinds of generalized multi-granularity parameter granule. …

… been studied from the perspective of the rough sets, which is depicted under the framework
… the granulation, knowledge approximation and the properties of approximation operators of …