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Soft Computing Approaches for Multi-level Decision Making

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Soft Computing Approaches for Multi-level Decision Making by Chi-Bin Cheng
$271.99
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Description

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.
Release date NZ
December 11th, 2018
Country of Publication
Switzerland
Edition
1st ed. 2019
Illustrations
100 Illustrations, color; Approx. 200 p. 100 illus. in color.
Imprint
Springer International Publishing AG
ISBN-13
9783319925240
Product ID
27876820

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