Title :
Two operators in rough set theory
Author :
Kong, Zhi ; Gao, Liqun ; Wang, Lifu ; Li, Yang
Author_Institution :
Northeastern Univ., Shenyang
Abstract :
In order to understand the essence of certain increment operator and the uncertain decrement operator, we redefine these two operators. Furthermore, the certain increment operator and the uncertain decrement operator are developed by introducing multiple sets, and some properties based on the two multiple sets operators are analyzed. Meanwhile, two equalities well known in the rough set theory can also be extended. Moreover we measured the approximation classification accuracy, classification quality, and discussed the relation between the classification accuracy of X on U and X on Si in dual vertically partitioned data base. Finally, examples are provided to understand the significance of two multiple sets operators.
Keywords :
approximation theory; rough set theory; approximation classification; certain increment operator; rough set theory; uncertain decrement operator; Artificial intelligence; Context modeling; Data mining; Information science; Knowledge acquisition; Machine learning; Pattern recognition; Rough sets; Set theory; USA Councils;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434180