DocumentCode
556435
Title
Granulation-based reduction in incomplete decision information systems
Author
Zhai, Kun ; Lian, Zhengguo
Author_Institution
Qingdao Agric. Univ., Qingdao, China
Volume
1
fYear
2011
fDate
22-23 Oct. 2011
Firstpage
275
Lastpage
278
Abstract
Due to rampant existence of missing values in E-commerce information systems, the research on knowledge acquisition in incomplete E-commerce information systems becomes necessary. In this paper, a granulation-based method of rough reduction is proposed to obtain the latent knowledge in incomplete E-commerce information systems. By using the technology of knowledge granulation, the latent and valuable knowledge can finally be discovered from incomplete E-commerce information systems.
Keywords
electronic commerce; granular computing; information systems; knowledge acquisition; rough set theory; e-commerce information systems; granulation-based reduction; incomplete decision information systems; knowledge acquisition; knowledge granulation; rough reduction; incomplete information system; knowledge granulation; rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location
Guiyang
Print_ISBN
978-1-4577-0247-1
Type
conf
DOI
10.1109/ICSSEM.2011.6081205
Filename
6081205
Link To Document