Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
Springer International Publishing (Verlag)
978-3-319-92524-0 (ISBN)
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.
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.
| Erscheinungsdatum | 26.01.2019 |
|---|---|
| Reihe/Serie | Studies in Fuzziness and Soft Computing |
| Zusatzinfo | XI, 219 p. 29 illus., 8 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 514 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | Auction Mechanism for Bi-level Programming Problem • Auction Mechanism for Bi-level Programming Problems • Compensatory Fuzzy Approach • Engineering Economics • Fuzzy Bi-level Decision Making • Fuzzy Membership Function for Decision Making • Fuzzy Multi-objective Dynamic Programming • Hierarchical Decision-Making • Interactive Fuzzy Decision Making • Metaheuristic Algorithms for Bi-level Programming • Multi-objective Knapsack Problems • Mutually Interactive Decision Process • Nested Optimization Problems • Optimization with Hopfield Neural Networks • Real-time Optimization with Neural Networks • Recurrent Neural Networks for Optimization • Recycling Policy Making • Reverse Auction Algorithm • Solving Decentralized Programming Problems • Supply Chain Management • Werners Aggregation Operator |
| ISBN-10 | 3-319-92524-5 / 3319925245 |
| ISBN-13 | 978-3-319-92524-0 / 9783319925240 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
