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010   $a3-319-92525-3
024 7 $a10.1007/978-3-319-92525-7
035   $a(CKB)4100000007223553
035   $a(DE-He213)978-3-319-92525-7
035   $a(MiAaPQ)EBC5919515
035   $a(PPN)243768621
035   $a(EXLCZ)994100000007223553
100   $a20181214d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFuzzy and Multi-Level Decision Making: Soft Computing Approaches /$fby Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
205   $a2nd ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XI, 219 p. 29 illus., 8 illus. in color.) 
225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v368
311 08$a3-319-92524-5 
327   $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.
330   $aThis book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.
410  0$aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v368
606   $aComputational intelligence
606   $aOperations research
606   $aComputer simulation
606   $aBusiness logistics
606   $aIndustrial Management
606   $aComputational Intelligence
606   $aOperations Research and Decision Theory
606   $aComputer Modelling
606   $aSupply Chain Management
606   $aIndustrial Management
615  0$aComputational intelligence.
615  0$aOperations research.
615  0$aComputer simulation.
615  0$aBusiness logistics.
615  0$aIndustrial Management.
615 14$aComputational Intelligence.
615 24$aOperations Research and Decision Theory.
615 24$aComputer Modelling.
615 24$aSupply Chain Management.
615 24$aIndustrial Management.
676   $a006.3
700   $aCheng$b Chi-Bin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01226382
702   $aShih$b Hsu-Shih$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aLee$b E. Stanley$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484560703321
996   $aFuzzy and Multi-Level Decision Making: Soft Computing Approaches$92847584
997   $aUNINA