Title :
Quasi-discrete closure space and generalized rough approximate space based on binary relation
Author :
Cheng, Jia-Xing ; Chen, Wan-Li
Author_Institution :
Key Lab of IC & SP, Anhui Univ., China
Abstract :
In this paper, it is presented that both the classical rough set theory and its generalized versions that are based on relation can be unified in the framework of quasi-discrete closure space. Since Pawlak´s upper and lower approximate operator can be interpreted as the closure and interior operator of a special topological space, the counterparts of quasi-discrete closure space play similar roles in the context of the generalized rough set theory based on relation. We also discuss some relevant properties of these two spaces.
Keywords :
approximation theory; rough set theory; topology; binary relation; generalized rough approximate space; quasidiscrete closure space; rough set theory; Artificial intelligence; Cybernetics; Intelligent systems; Knowledge representation; Machine learning; Set theory; Topology;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382166