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Book synopsis

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. 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.

Book details

Book category Books in English Economics, finance, business & management Business & management Management & management techniques

• Full title: Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
• Author: Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
• Language: English
• Binding: Hardback
• Number of pages: 219
• EAN: 9783319925240
• ISBN: 3319925245
• ID: 19382040
• Publisher: Springer International Publishing AG
• Weight: 518 g
• Dimensions: 235 × 155 × 18 mm
• Date of publishing: 24. January 2019

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