Title :
Basic Concepts in Covering-Based Rough Sets
Author_Institution :
Univ. of Auckland, Auckland
Abstract :
Uncertainty and incompleteness of knowledge are widespread phenomena in information systems. Rough set theory is a tool for dealing with granularity and vagueness in data analysis. Rough set method has already been applied to various fields such as process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry psychology, and conflict analysis. Covering-based rough set theory is an extension to classical rough sets. In this paper we study relationship between several basic concepts involved in covering-based rough sets. In this way we will have a better understanding of covering-based rough sets.
Keywords :
data analysis; information systems; rough set theory; biochemistry; biology; chemistry psychology; conflict analysis; covering-based rough sets; data analysis; economics; environmental science; information systems; medical diagnosis; process control; Biochemistry; Biology; Data analysis; Environmental economics; Information systems; Medical diagnosis; Process control; Rough sets; Set theory; Uncertainty;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.281