Overview
- Describes fuzzy approaches and nature-inspired algorithms for solving multi-level programming problems
- Focuses on the decision-making process in hierarchical organizations
- Presents a wealth of techniques together with their application to real-world problems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 368)
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About this book
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 examplesand 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.
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Keywords
- Fuzzy Bi-level Decision Making
- Nested Optimization Problems
- Interactive Fuzzy Decision Making
- Optimization with Hopfield Neural Networks
- Recurrent Neural Networks for Optimization
- Hierarchical Decision-Making
- Fuzzy Multi-objective Dynamic Programming
- Real-time Optimization with Neural Networks
- Auction Mechanism for Bi-level Programming Problems
- Reverse Auction Algorithm
- Recycling Policy Making
- Supply Chain Management
- Solving Decentralized Programming Problems
- Werners Aggregation Operator
- Compensatory Fuzzy Approach
- Mutually Interactive Decision Process
- Multi-objective Knapsack Problems
- Fuzzy Membership Function for Decision Making
- Metaheuristic Algorithms for Bi-level Programming
- Engineering Economics
Table of contents (9 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
Authors: Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-92525-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-92524-0Published: 24 January 2019
eBook ISBN: 978-3-319-92525-7Published: 14 December 2018
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 2
Number of Pages: XI, 219
Number of Illustrations: 21 b/w illustrations, 8 illustrations in colour
Topics: Computational Intelligence, Operations Research/Decision Theory, Simulation and Modeling, Supply Chain Management, Engineering Economics, Organization, Logistics, Marketing