000 03372nam a22004335i 4500
710 2 _aSpringerLink (Online service)
_9106996
999 _c111512
_d111512
001 111512
003 ES-MaUEC
005 20230102113516.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 181214s2019 gw a o |||| 0|eng d
020 _a9783319925257
024 7 _a10.1007/978-3-319-92525-7
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA76.9.S63
_b2019 EB
100 1 _aCheng, Chi-Bin
_eautor
_9671384
245 1 0 _aFuzzy and Multi-Level Decision Making :
_bSoft Computing Approaches
_cby Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee.
250 _a2nd ed. 2019.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XI, 219 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Fuzziness and Soft Computing
_x1434-9922
_v368
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Linear Bi-level Programming -- Possibility Theory and Fuzzy Optimization -- Fuzzy Interactive Multi-level Decision Making -- Aggregation of Fuzzy Systems in Multi-level Decisions -- Multi-level Optimization by Fuzzy Dynamic Programming -- Auction Mechanisms for Solving Multi-level Programming -- Neural Networks for Solving Multi-level Programming -- Metaheuristics for Multi-level Optimization.
520 3 _aThis book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.
650 7 _2embne
_9166276
_aSoft Computing
700 1 _aShih, Hsu-Shih.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aLee, E. Stanley.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783319925240
776 0 8 _iPrinted edition:
_z9783319925264
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92525-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Robotics
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b11/2019
_ek
_zSI