DocumentCode :
1937637
Title :
Information Granularity Lattices
Author :
Shao, Ming-wen ; Zhang, Wen-xiu
Author_Institution :
Jiangxi Univ. of Finance & Econ., Nanchang
Volume :
7
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
3728
Lastpage :
3733
Abstract :
The theory of rough sets, formal concept analysis and granular computing are important mathematical tool for data analysis and knowledge processing. In the paper, we propose the notion of information granules in information systems by combining the theory of rough sets and formal concept analysis. We show all the information granule forms a complete lattice in information systems, and we present the approaches to attribute reduction and rule acquisition for information granularity lattices. We also discuss the relationship between the attribute reducts of the information systems and the attribute reducts of the information granularity lattices that corresponding with the information systems.
Keywords :
information systems; rough set theory; formal concept analysis; granular computing; information granularity lattices; information systems; rough sets theory; Application software; Cybernetics; Data analysis; Environmental economics; Finance; Information analysis; Information systems; Lattices; Machine learning; Rough sets; Attribute reducts; Information granularity; Information systems; Lattices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370796
Filename :
4370796
Link To Document :
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