W Guoyin, Z Qinghua, H Jun - CAAI Transactions on Intelligent …, 2007 - tis.hrbeu.edu.cn
… of granular computing ba sed on approximate partition[A]. … system based on information granulation and computing with … On the extension of roughsets under incomplet e information…
N Zhang, LL Jiang, XD Yue, J Zhou - CAAI Trans Intell Syst, 2016 - tis.hrbeu.edu.cn
… -theoretic roughset[J]. International journal of approximate reasoning, 2014, 55(1):101-115. … Incorporating logistic regression to decision-theoretic roughsets for classifications[J]. …
… Information quantity is introduced into the lower-approximate distribution reduction of pessimistic multi-granulationroughset and the information … in the lower-approximate distribution …
… The informationgranulation is a process of constructing … representation model, ie information systems. The Pawlak’s roughset model is mainly concerned with the approximation of …
… Then the lower approximation and upper approximation of multi-granulationroughsets 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 … Roughsetapproximations in incomplete information systems …
… in roughset theory, where concepts are approximated by … set, we construct a new multi-granulation roughset model, called a multi-granulation covering rough-intuitionistic fuzzy set …
… of upper and lower approximation operators of … granuleroughsets is discussed by defining the accuracy and roughness of two kinds of generalized multi-granularity parameter granule. …
… been studied from the perspective of the roughsets, which is depicted under the framework … the granulation, knowledge approximation and the properties of approximation operators of …