Title :
Generalized multilayer granulation and approximations
Author :
Xiu, Bao-xin ; Zhang, Wei-Ming ; Wang, Shuang ; Tang, Jiu-yang
Author_Institution :
Dept. of Manage. Sci. & Eng., Nat. Univ. of Defense Technol., Hunan, China
Abstract :
Information (knowledge) granulation and approximations seem to be very important issues for computing science, and there are fast growing and renewed interests in this topic. The multilayer granulation structures, which have been discussed before, are all defined by a nested sequence of partitions or coverings. In the context of rough set theory, this paper proposes a generalized multilayer granulation, which is not necessary to be nested. A quasi-order relation on FC(U) is defined, where FC(U) is the collection of all the coverings of the universe. A pair of lower and upper approximations is defined and the approximation structure is investigated.
Keywords :
approximation theory; knowledge engineering; rough set theory; computing science; information approximations; information granulation; multilayer granulation structures; neighborhood systems; quasiorder relation; rough set theory; Data analysis; Databases; Engineering management; Information analysis; Logic; Nonhomogeneous media; Problem-solving; Quantization; Set theory; Technology management;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259715