Title :
A New Type of Covering Rough Set
Author :
Zhu, William ; Wang, Fei-Yue
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing
Abstract :
Rough sets, a tool for data mining, deal with the vagueness and granularity in information systems. This paper studies a type of covering generalized rough sets. After presenting their basic properties, this paper explores the inter dependency between the lower and the upper approximation operations, conditions under which two coverings generate a same upper approximation operation, and the axiomatic systems for these operations. In the end, this paper establishes the relationships between this type of covering rough sets and the other covering rough sets in literature
Keywords :
fuzzy set theory; rough set theory; axiomatic systems; covering rough set; data mining; fuzzy set; granular computing; granularity; information systems; lower approximation operations; reduct; upper approximation operations; Automation; Databases; Environmental economics; Fuzzy logic; Fuzzy set theory; Humans; Intelligent systems; Process control; Rough sets; Set theory; Covering; Covering lower approximation; Covering upper approximation; Fuzzy set; Granular computing; Reduct; Rough set;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348460
