國立虎尾科技大學 |

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fuzzy and Multi-Level Decision Making: Soft Computing Approaches/ by Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee.
作者:	Cheng, Chi-Bin.
其他作者:	Shih, Hsu-Shih.
面頁冊數:	XI, 219 p. 29 illus., 8 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-92525-7
ISBN:	9783319925257

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
Cheng, Chi-Bin.

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches[electronic resource] /by Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee. - 2nd ed. 2019. - XI, 219 p. 29 illus., 8 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3681434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

Introduction -- 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.

This 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.

ISBN: 9783319925257

Standard No.: 10.1007/978-3-319-92525-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
LDR:03081nam a22003975i 4500 001 1010078
003 DE-He213
005 20200703063027.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783319925257 $9 978-3-319-92525-7
024 7 $a 10.1007/978-3-319-92525-7 $2 doi
035 $a 978-3-319-92525-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Cheng, Chi-Bin. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1304112
245 1 0 $a Fuzzy and Multi-Level Decision Making: Soft Computing Approaches $h [electronic resource] / $c by Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee.
250 $a 2nd ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XI, 219 p. 29 illus., 8 illus. in color. $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 Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 368
505 0 $a Introduction -- 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 $a This 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 0 $a Computational intelligence. $3 568984
650 0 $a Operations research. $3 573517
650 0 $a Decision making. $3 528319
650 0 $a Computer simulation. $3 560190
650 0 $a Business logistics. $3 562973
650 0 $a Engineering economics. $3 1253802
650 0 $a Engineering economy. $3 632434
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Simulation and Modeling. $3 669249
650 2 4 $a Supply Chain Management. $3 1102107
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 669171
700 1 $a Shih, Hsu-Shih. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1304113
700 1 $a Lee, E. Stanley. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1304114
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319925240
776 0 8 $i Printed edition: $z 9783319925264
830 0 $a Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 319 $3 1253810
856 4 0 $u https://doi.org/10.1007/978-3-319-92525-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)