Title :
A brief introduction to grey systems theory
Author :
Liu Sifeng ; Forrest, Jeffrey ; Yang Yingjie
Author_Institution :
Inst. for Grey Syst. Studies, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
The scientific background that grey systems theory comes into being, the astonishing progress that grey systems theory has made in the world of learning and its wide-ranging applications in the entire spectrum of science, and the characteristics of unascertained systems include incomplete information and inaccuracies in data are presented in this paper. The scientific principle of simplicity and how precise models suffer from inaccuracies are also shown. We compared grey systems with other kinds of uncertainty models such as stochastic probability, rough set theory, and fuzzy mathematics. Finally, the elementary concepts and fundamental principles of grey systems, and main components of grey systems theory are introduced briefly.
Keywords :
fuzzy set theory; grey systems; probability; rough set theory; stochastic processes; elementary concepts; fundamental principles; fuzzy mathematics; grey systems theory; rough set theory; simplicity principle; stochastic probability; uncertainty model; Biological system modeling; Earth; Presses; Uncertainty; Welding; appearance; development; grey systems theory; unascertained systems;
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
DOI :
10.1109/GSIS.2011.6044018
