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Fuzzy and Multi-Level Decision Making

An Interactive Computational Approach

  • E. Stanley Lee
  • Hsu-shih Shih

Part of the Advanced Manufacturing book series (ADVMANUF)

Table of contents

  1. Front Matter
    Pages i-ix
  2. E. Stanley Lee, Hsu-shih Shih
    Pages 1-9
  3. E. Stanley Lee, Hsu-shih Shih
    Pages 11-48
  4. E. Stanley Lee, Hsu-shih Shih
    Pages 49-80
  5. E. Stanley Lee, Hsu-shih Shih
    Pages 81-95
  6. E. Stanley Lee, Hsu-shih Shih
    Pages 97-116
  7. E. Stanley Lee, Hsu-shih Shih
    Pages 117-138
  8. E. Stanley Lee, Hsu-shih Shih
    Pages 139-155
  9. E. Stanley Lee, Hsu-shih Shih
    Pages 157-176
  10. Back Matter
    Pages 177-193

About this book

Introduction

Managerial Decisions in hierarchy organizations, such as the various manufacturing and service companies, are difficult to formalize and even more difficult to optimize. By exploring the typical fuzziness, vagueness, or the "not-well-defined" nature of such organizations, this book presents the first comprehensive treatment of this difficult and practically important problem. The advantages of the proposed fuzzy interactive approach are that it significantly reduces computational requirements. Equally, the representation of the system is made more realistic through the recognition of the inherent fuzziness of such large organizations. Both the multi-ploy and the game-like decision making processes, also known as multi-level programming and the fuzzy interactive approach, are discussed in detail. The emphasis is on numerical algorithms and numerous examples are solved and compared. The concepts of fuzzy set and fuzzy linguistic representation, which form an integral part of any managerial decision, are also discussed.

Keywords

Complementary Slackness Decentralized Decision Making Hierarchical Management Multiple Level Programming Stackelberg Game algorithms decision making dynamic programming linear optimization manufacturing optimization programming

Authors and affiliations

  • E. Stanley Lee
    • 1
  • Hsu-shih Shih
    • 2
  1. 1.Department of Industrial & Manufacturing Systems EngineeringKansas State UniversityManhattanUSA
  2. 2.Graduate School of Management ScienceI-Shou UniversityTa-Hsiang, KaohsiungTaiwan

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-0683-8
  • Copyright Information Springer-Verlag London 2001
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1177-1
  • Online ISBN 978-1-4471-0683-8
  • Series Print ISSN 1431-0155
  • Buy this book on publisher's site