DocumentCode
495516
Title
Rough Subset Based on Congruence in a Vector Space
Author
Wu, Mingfen ; Xie, Xiangyun ; Cao, Cungen
Author_Institution
Inf. Coll., Wuyi Univ., Jiangmen, China
Volume
4
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
335
Lastpage
339
Abstract
The rough set theory proposed by Pawlak, is a generalization of the classical set theory. Many important algebraic structures are naturally endowed with two binary operations: addition and multiplication, for example, rings, groups and modules. A vector space is an algebraic structure with a binary operation and a multiplication by a scalar. This paper concerned a relationship between rough sets and vector spaces. We considered a vector space as an universal set, and assumed that the knowledge about objects should be restricted by a subspace. First, we discussed relationships between congruences and subspaces of a vector space. Then we defined a pair of rough approximation operators based on a subspace, and obtained some properties of lower (upper) approximation of non-empty subsets of the vector space. Some characterizations of the approximation operators are expressed, and some counter examples are given.
Keywords
mathematical operators; rough set theory; vectors; algebraic structure; binary operation; rough approximation operators; rough set theory; rough subset; vector space; Boolean algebra; Computer science; Educational institutions; Information systems; Intelligent agent; Measurement uncertainty; Modeling; Rough sets; Set theory; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.292
Filename
5171014
Link To Document