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