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 informatio...

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Bibliographic Details
Published inProceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services pp. 1 - 9
Main Authors Liu Sifeng, Forrest, J., Yang Yingjie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
appearance
Biological system modeling
development
Earth
grey systems theory
Presses
unascertained systems
Uncertainty
Welding
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ISBN9781612844909
1612844901
ISSN2166-9430
DOI10.1109/GSIS.2011.6044018

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Summary: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.
ISBN:9781612844909
1612844901
ISSN:2166-9430
DOI:10.1109/GSIS.2011.6044018