On General Binary Relation Based Rough Set

Journal of Information and Computing Science
Vol. 7 No. 1 (2012), pp. 054-066
Preview Full PDF Open Access
Author(s)
    W.h . Xu, X.t. Zhang, Q.r. Wang and S. Sun
    School of Mathematics of Statistics, Chongqing University of Technology, Chongqing, P.R. China; Bureau of Statistics, Lijin Dongying, P.R. China; England UK
    Search all author publications
School of Mathematics of Statistics, Chongqing University of Technology, Chongqing, P.R. China; Bureau of Statistics, Lijin Dongying, P.R. China; England UK
Abstract
To keep the key idea of rough set and the representation of information in rough set theory, empty representation is processed properly and three new forms of rough approximation sets are defined as a generation of general binary relation based rough set model. Moreover, the properties of approximation operators in these new rough sets are discussed. The relations among them are studied in this paper. In addition, examples are arranged to interpret what we studied in this paper.
More from this issue
A Visualization Tool for Teaching and Learning Database Decomposition System
A. A. Taofiki and A. O. Tale
pp. 003-010
Inner-Outer Synchronization Analysis of Two Complex Networks with Delayed and Non-Delayed Coupling
S. Zheng
pp. 011-018
A Fuzzy Intra-Clustering Approach for Load Balancing in Peer-to-Peer System
R. Bhardwaj, V.S. Dixit and A. Upadhyay
pp. 019-024
Document Classification in Summarization
G. Mamakis , A. G. Malamos , J. A.Ware and I.Karelli
pp. 025-036
Stay updated
Share
How to Cite
RIS BibTeX