Title :
Stratified rough sets and granular computing
Author_Institution :
Dept. of Comput. Sci., Regina Univ., Sask., Canada
Abstract :
This paper examines granulation structures for stratified rough set approximations. With respect to different level of granulations, various approximations are obtained. Two special types of granulation structures are investigated. A nested sequence of granulations by equivalence relations leads to a nested sequence of rough set approximations. A hierarchical granulation, characterized by a special class of equivalence relations, leads to a more general approximation structure
Keywords :
data mining; inference mechanisms; learning (artificial intelligence); rough set theory; equivalence relations; granular computing; granulation structures; nested sequence; stratified rough sets; Computer science; Rough sets; Set theory;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781804
