Title :
Properties of the Third Type of Covering-Based Rough Sets
Author :
Zhu, William ; Wang, Fei-Yue
Author_Institution :
Chinese Acad. of Sci., Beijing
Abstract :
Rough set theory has been proposed by Pawlak as a tool for dealing with the vagueness and granularity in information systems. The core concepts of classical rough sets are lower and upper approximations based on equivalence relations, or partitions. This paper studies covering-based generalized rough sets. In this setting, a covering can generate a lower approximation operation and an upper approximation operation, but some of common properties of classical lower and upper approximation operations are no longer satisfied. We investigate conditions for a covering under which these properties hold for the third type of covering-based lower and upper approximation operations.
Keywords :
approximation theory; information systems; rough set theory; covering-based rough set theory; information system; lower approximation operation; upper approximation operation; Automation; Cybernetics; Data mining; Fuzzy set theory; Fuzzy sets; Industrial engineering; Information systems; Machine learning; Rough sets; Set theory; Computing with word; Covering; Fuzzy set; Granular computing; Rough set;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370799