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
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;
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
DOI :
10.1109/ICSMC.2007.4413632
