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Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

  • Chi-Bin Cheng
  • Hsu-Shih Shih
  • E. Stanley Lee

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 368)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 1-13
  3. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 15-72
  4. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 73-88
  5. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 89-111
  6. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 113-129
  7. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 131-146
  8. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 147-169
  9. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 171-188
  10. Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee
    Pages 189-209
  11. Back Matter
    Pages 211-219

About this book

Introduction

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.

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

Authors and affiliations

  • Chi-Bin Cheng
    • 1
  • Hsu-Shih Shih
    • 2
  • E. Stanley Lee
    • 3
  1. 1.Department of Information ManagementTamkang UniversityNew Taipei CityTaiwan
  2. 2.Department of Management SciencesTamkang UniversityNew Taipei CityTaiwan
  3. 3.Department of Industrial and Manufacturing Systems EngineeringKansas State UniversityManhattanUSA

Bibliographic information