Title :
Application of Rough Set Theory in Knowledge Discovery from Multiple Knowledge Base
Author_Institution :
Sch. of Manage., Zhejiang Shuren Univ., Hangzhou, China
Abstract :
This paper introduced the basic concept and characteristics of the rough set theories, and with an example the theories are used as form models for producing knowledge base and processing the decision result of each knowledge base, thereby enhancing the reliability and accuracy of the results in decision-making.
Keywords :
data mining; decision making; rough set theory; decision making; decision result; knowledge base; knowledge discovery; multiple knowledge base; rough set theory; Artificial intelligence; Data analysis; Data mining; Decision making; Information systems; Knowledge management; Reliability theory; Set theory; Ubiquitous computing; Uncertainty; Knowledge Discovery; Multiple Knowledge Base; Rough Set;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.95
