DocumentCode
2385714
Title
A Study of Information Granules
Author
Wang, Xiaosheng
Author_Institution
Jimei Univ., Xiamen
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
50
Lastpage
50
Abstract
Rough set theory is based on information granules. This paper studies information granules based on a decision logic language in information tables. In this paper, the theorems of determining definable granules and definable partitions are given. Furthermore, this paper gives the definitions of the definable upper and lower approximations of indefinable granules, and studies their properties. Through the descriptions of the definable upper and lower approximations, we propose a way of describing indefinable granules. As a result, we can obtain some explicit and useful information on indefinable granules. This is then an approach to discover knowledge hidden in indefinable granules.
Keywords
data mining; formal languages; rough set theory; decision logic language; information granule; information table; knowledge discovery; rough set theory; Information analysis; Logic; Muscles; Natural languages; Problem-solving; Set theory; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3032-1
Type
conf
DOI
10.1109/GrC.2007.80
Filename
4403065
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