DocumentCode :
535964
Title :
Generalized rough set under formal context and its application in expert system
Author :
Zhai, Yuming ; Liu, Haifeng
Author_Institution :
Glorious Sun Sch. of Bus. & Manage., Donghua Univ., Shanghai, China
Volume :
1
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
582
Lastpage :
585
Abstract :
Rough set theory and the theory of concept lattices are two efficient tools for knowledge discovery. Since an information system, the data description of rough set theory, and a formal context, the data description of concept lattice theory, can be taken as the other one. In this paper, generalized rough set model under formal context is discussed. Firstly, generalized lower and upper approximations of rough set are defined under formal context by means of information matrix. Secondly, the algorithm for getting the lower and upper approximation set is presented and new concepts of lower-matching degree and upper-matching degree are advanced. These concepts give a clearly clue and matting to the studies on rough set under formal context. Thirdly, the application of expert systems, based on the theory of generalized rough set under formal context, is introduced through medical expert systems. Finally the disadvantages and future research directions of rough set under formal context are discussed.
Keywords :
approximation theory; data mining; expert systems; matrix algebra; rough set theory; approximation set; concept lattice theory; expert system; formal context; information matrix; information system; knowledge discovery; rough set theory; Artificial neural networks; expert systems; formal context; matching degree; reasoning machine; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5655795
Filename :
5655795
Link To Document :
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