Fuzzy and Multi-Level Decision Making: Soft Computing Approaches: 368 (Studies in Fuzziness and Soft Computing, 368) - Tapa dura

Libro 141 de 183: Studies in Fuzziness and Soft Computing

Cheng, Chi-Bin; Lee, E. Stanley; Shih, Hsu-Shih

 
9783319925240: Fuzzy and Multi-Level Decision Making: Soft Computing Approaches: 368 (Studies in Fuzziness and Soft Computing, 368)
Tapa dura
ISBN 10: 3319925245 ISBN 13: 9783319925240
Editorial: Springer, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

<p></p><p></p><p>This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based &nbsp;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.<br></p><p></p><p></p>

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3319925245
ISBN 13 
9783319925240
Encuadernación
Tapa dura
Número de edición
2
Número de páginas
232
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