DocumentCode
556436
Title
Knowledge granulation in incomplete information systems
Author
Wu, Junyun
Author_Institution
Sch. of Inf. & Eng., Nanchang Univ., Nanchang, China
Volume
1
fYear
2011
fDate
22-23 Oct. 2011
Firstpage
279
Lastpage
281
Abstract
In this paper, a new measure of knowledge granulation for incomplete information systems is proposed, which is characterized by mathematical expectation of lengths of granules. We also discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the discernibility of different knowledge. It may be helpful for rule evaluation and knowledge discovery in incomplete information systems.
Keywords
granular computing; information systems; information theory; rough set theory; incomplete information systems; knowledge discovery; knowledge granulation; mathematical expectation; rule evaluation; Educational institutions; granular computing; incomplete information systems; 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.2011.6081206
Filename
6081206
Link To Document