Title :
Rough set theory and its practice in knowledge discovery
Author :
Shixing, Fu ; Zengxiang, Lu ; Haiming, Lu ; Yanda, Li
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
As an effective mathematical tool to deal with vagueness and uncertainty, the rough set theory has got much attention in the fields of artificial intelligence, pattern recognition, knowledge process and so on. This paper introduces the Pawlak rough set theory model (1992, 1995) and the generalized rough set theory model, discusses the general methods used in knowledge discovery in database, and measures the plausibility with the generalized model. Finally, it also reviews the research and applications briefly
Keywords :
data mining; rough set theory; uncertain systems; Pawlak rough set theory model; database; knowledge discovery; plausibility; uncertainty; vagueness; Artificial intelligence; Automation; Databases; Mathematical model; Mathematics; Pattern recognition; Set theory;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862504
