会议专题

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

2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

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)