Grey systems : theory and applications

Due to inherent limitations in human sensing organs, most data collected for various purposes contain uncertainties. Even at the rare occasions when accurate data are available, the truthful predictions derived on the data tend to create chaotic consequences. So, to effectively process and make sens...

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Asıl Yazarlar: Liu, Sifeng, Forrest, Jeffrey Yi-Lin, 1959-...., mathématicien (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2011.
Seri Bilgileri:Understanding Complex Systems
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Grey Systems, Texte imprimé, 9783642161575
• Grey Systems, Texte imprimé, 9783642161575
• Grey Systems, Texte imprimé, 9783642423321
• Grey Systems, Texte imprimé, 9783642161599
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245 1 0 |a Grey systems :  |b theory and applications   |c by Sifeng Liu, Yi Lin. 
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505 1 |a Introduction to Grey Systems Theory Basic Building Blocks Grey Incidence and Evaluations Grey Systems Modeling Discrete Grey Prediction Models Combined Grey Models Grey Models for Decision Making Grey Game Models Grey Control Systems Introduction to the Software of Grey Systems Modeling Appendix A: Interval Analysis and Grey Systems Theory Appendix B: Approaches of Uncertainty Appendix C: How Uncertainties Appear: A General Systems Approach 
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520 |a Due to inherent limitations in human sensing organs, most data collected for various purposes contain uncertainties. Even at the rare occasions when accurate data are available, the truthful predictions derived on the data tend to create chaotic consequences. So, to effectively process and make sense out of available data, we need methods to deal with uncertainty inherently existing inside the data. The intent of this monograph is to explore the fundamental theory, methods, and techniques of practical application of grey systems theory, initiated by Professor Deng Julong in 1982. This volume presents most of the recent advances of the theory accomplished by scholars from around the world. From studying this book, the reader will not only acquire an overall knowledge of this new theory but also be able to follow the most current research activities. All examples presented are based on practical applications of the theory when urgent real-life problems had to be addressed. Last but not the least, this book concludes with three appendices. The first one compares grey systems theory and interval analysis while revealing the fact that interval analysis is a part of grey mathematics. The second appendix presents an array of different approaches of studying uncertainties. And, the last appendix shows how uncertainties appear using general systems approach 
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