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008 101208s2011 gw | s |||| 0|eng d
020 _a9783642161582
_9978-3-642-16158-2
040 _cMX-MeUAM
050 4 _aQA76.9.M35
082 0 4 _a620
_223
100 1 _aLiu, Sifeng.
_eauthor.
245 1 0 _aGrey Systems
_h[recurso electrónico] :
_bTheory and Applications /
_cby Sifeng Liu, Yi Lin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXX, 379 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUnderstanding Complex Systems,
_x1860-0832 ;
_v68
505 0 _aIntroduction 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 _aDue 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 _aEngineering.
650 0 _aPhysics.
650 1 4 _aEngineering.
650 2 4 _aComplexity.
650 2 4 _aNonlinear Dynamics.
700 1 _aLin, Yi.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642161575
830 0 _aUnderstanding Complex Systems,
_x1860-0832 ;
_v68
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-16158-2
596 _a19
942 _cLIBRO_ELEC
999 _c203115
_d203115