Grey Information

Grey Information

EnglishPaperback / softbackPrint on demand
Liu Sifeng
Springer London Ltd
EAN: 9781849969932
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Rapid formation and development of new theories of systems science have become an important part of modern science and technology. For - ample, since the 1940s, there have appeared systems theory, information theory, fuzzy mathematics, cybernetics, dissipative structures, synergetics, catastrophe theory, chaos theory, bifurcations, ultra circulations, dynamics, and many other systems theories. Grey systems theory is also one of such systems theories that appeared initially in the 1980s. When the research of systems science and the method and technology of systems engineering are applied in various traditional disciplines, such as management science, decision science, and various scienti?c disciplines, a whole new group of new results and breakthroughs are obtained. Such a historical background has provided the environment and soil for grey systems theory to form and to develop rapidly in the past 20-plus years. More speci?cally, in 1982, Professor Deng Ju-Long published the ?rst research paper in the area of grey systems in the international journal entitled Systems and Control Letters, published by North-Holland Co. His paper was titled “Control Problems of Grey Systems. ” The publication of this paper signalled the birth of grey systems theory after many years of e ective research of the founding father. This new theory soon caught the attention of the international academic community and practitioners of science. Many well-known scholars, such as Chinese academicians Qian Xueshen, Song Jian, and Zhang Zhongjun. Professor Roger W.

EAN 9781849969932
ISBN 1849969930
Binding Paperback / softback
Publisher Springer London Ltd
Publication date October 22, 2010
Pages 508
Language English
Dimensions 235 x 155
Country United Kingdom
Readership Professional & Scholarly
Authors Lin Yi; Liu Sifeng
Illustrations XII, 508 p.
Edition Softcover reprint of hardcover 1st ed. 2006
Series Advanced Information and Knowledge Processing