DocumentCode
2539785
Title
The grey rough measure of knowledge based on rough membership function
Author
Li-rong, Jian ; Si-feng, Liu
Author_Institution
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear
2007
fDate
7-10 Oct. 2007
Firstpage
2191
Lastpage
2195
Abstract
The degree of uncertainty to which an object belongs to a class or not being viewed as grey degree of grey numbers, an approach to grey measure of knowledge is proposed based on rough membership function, which provides a formal reasonable definition of grey degree of grey numbers and grade of grey numbers. It is shown that the semantics of grey degree of grey numbers can be explicitly stated, the levels of grey numbers can be reasonably interpreted for objects to classify and the set of rules can be obtained with different grades of grey degree.
Keywords
grey systems; number theory; rough set theory; uncertainty handling; grey degree; grey numbers; rough membership function; uncertainty handling; Control systems; Data mining; Economic forecasting; Extraterrestrial measurements; Knowledge management; Knowledge representation; Machine learning; Pattern analysis; Set theory; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
978-1-4244-0990-7
Electronic_ISBN
978-1-4244-0991-4
Type
conf
DOI
10.1109/ICSMC.2007.4413632
Filename
4413632
Link To Document