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
fDate :
March 31 2009-April 2 2009
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;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.292