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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Liu, Sifeng (Συγγραφέας), Lin, Yi (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Σειρά:Understanding Complex Systems, 68
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03383nam a22004695i 4500
001 978-3-642-16158-2
003 DE-He213
005 20151116133409.0
007 cr nn 008mamaa
008 101208s2011 gw | s |||| 0|eng d
020 |a 9783642161582  |9 978-3-642-16158-2 
024 7 |a 10.1007/978-3-642-16158-2  |2 doi 
040 |d GrThAP 
050 4 |a QA76.9.M35 
072 7 |a GPFC  |2 bicssc 
072 7 |a TEC000000  |2 bisacsh 
082 0 4 |a 620  |2 23 
100 1 |a Liu, Sifeng.  |e author. 
245 1 0 |a Grey Systems  |h [electronic resource] :  |b Theory and Applications /  |c by Sifeng Liu, Yi Lin. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a XX, 379 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Understanding Complex Systems,  |x 1860-0832 ;  |v 68 
505 0 |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. 
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. 
650 0 |a Engineering. 
650 0 |a Statistical physics. 
650 0 |a Complexity, Computational. 
650 1 4 |a Engineering. 
650 2 4 |a Complexity. 
650 2 4 |a Nonlinear Dynamics. 
700 1 |a Lin, Yi.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642161575 
830 0 |a Understanding Complex Systems,  |x 1860-0832 ;  |v 68 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-16158-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-PHA 
950 |a Physics and Astronomy (Springer-11651)