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020 _a9789819787272
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024 7 _a10.1007/978-981-97-8727-2
_2doi
050 4 _aT57.6-.97
072 7 _aKJT
_2bicssc
072 7 _aKJMD
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072 7 _aBUS049000
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082 0 4 _a658.403
_223
100 1 _aLiu, Sifeng.
_eauthor.
_0(orcid)0009-0002-9056-8849
_1https://orcid.org/0009-0002-9056-8849
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_923721
245 1 0 _aGrey Systems Analysis
_h[electronic resource] :
_bMethods, Models and Applications /
_cby Sifeng Liu.
250 _a2nd ed. 2025.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2025.
300 _aXXXII, 395 p. 73 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSeries on Grey System,
_x2731-4944
505 0 _aIntroduction -- Characteristics of grey system theory -- Grey Numbers and their Operations -- Sequence Operators and Grey Data Mining -- Grey Relational Analysis Models -- Grey Clustering Evaluation Models.
506 0 _aOpen Access
520 _aThis open access book is the 2nd edition involving the update on data, methods and models of Grey Systems. It covers up-to-date theoretical and applied advances in grey systems from across the world, and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models and methods in the book are original by the author, including kernel, degree of greyness of grey number, simplified form of grey number, general grey number and the operation system; the axiomatic system of buffer operators and a series of weakening and strengthening buffer operators; a series of grey relational analysis models, including grey absolute, relative, synthetic, similarity, closeness, negative, three dimension, and grey relational analysis model for cross-sequences, etc.; grey fixed weight clustering model, grey evaluation models based on center-point and end-point mixed possibility functions; original difference grey model (ODGM), even difference grey model (EDGM), discrete grey model (DGM), fractional grey models, self-memory grey models; multi-attribute weighted intelligent grey target decision models, kernel weight vector group and the weighted comprehensive clustering coefficient vector, and spectrum analysis of sequence operators, etc. The revision includes: (1) Added new achievements made in recent years, such as the moving average denoise operator, a series of negative grey relational models, grey relational model for cross-sequences, standard uncertainty numbers and their operations, adaptive Grey Prediction Models and so on; (2) Important data related to the development of grey system theory has been updated; (3) Research reviews have been added to each chapter, and a large number of references have been added; (4)Updated application examples of commonly used models and methods. This book will be appropriate as a reference and/or textbook for courses of grey system theory for graduate students or high level undergraduate students, majoring in various fields of natural sciences, social sciences and engineering technology. It can also be utilized by researchers and technicians in research institutions, business entities, and government agencies.
650 0 _aOperations research.
_91130
650 0 _aStatistics .
_9905
650 0 _aManagement science.
650 1 4 _aOperations Research and Decision Theory.
_91134
650 2 4 _aApplied Statistics.
_911455
650 2 4 _aOperations Research, Management Science.
_99560
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819787265
776 0 8 _iPrinted edition:
_z9789819787289
776 0 8 _iPrinted edition:
_z9789819787296
830 0 _aSeries on Grey System,
_x2731-4944
_923722
856 4 0 _uhttps://doi.org/10.1007/978-981-97-8727-2
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
912 _aZDB-2-SOB
999 _c579846
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