A Brief Introduction to Grey Systems Theory
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.
grey systems theory appearance development unascertained systems
Liu Sifeng Jeffrey Forrest Yang Yingjie
Institute for Grey Systems Studies,Nanjing University of Aeronautics and Astronautics,Nanjing 210016 Institute for Grey Systems Studies,Nanjing University of Aeronautics and Astronautics,Nanjing 210016 Institute for Grey Systems Studies,Nanjing University of Aeronautics and Astronautics,Nanjing 210016
国际会议
南京
英文
1-9
2011-09-15(万方平台首次上网日期,不代表论文的发表时间)