Title :
Granularity-Wise Separations in Covering Approximation Spaces with Some Approximation Operators
Abstract :
This paper investigates a question for covering approximation spaces posed by Y. Ge and obtains some characterizations of granularity-wise separations in covering approximation spaces with approximation operators C2 and C2 (in the sense of K. Qin, Y. Gao and Z. Pei), These results will be helpful to give further applications of Pawlak rough set theory in pattern recognition and artificial intelligence.
Keywords :
approximation theory; mathematical operators; rough set theory; Pawlak rough set theory; approximation operators; artificial intelligence; covering approximation spaces; granularity-wise separation; pattern recognition; Artificial intelligence; Computer science; Data mining; Educational institutions; Logic; Mathematics; Pattern recognition; Set theory; Space technology; covering approximation space; granularity-wise separation;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.18
