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Fuzzy and Multi-Level Decision Making

An Interactive Computational Approach

  • Book
  • © 2001

Overview

Authors:
  1. E. Stanley Lee

    1. Department of Industrial & Manufacturing Systems Engineering, Kansas State University, Manhattan, USA

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  2. Hsu-shih Shih

    1. Graduate School of Management Science, I-Shou University, Ta-Hsiang, Kaohsiung, Taiwan

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • A unique book for engineers wishing to widen their understanding of Fuzzy Multiple Level Optimization
  • Useful for solving engineering and social problems that occur in today's hierarchical organizations
  • The authors reveal that the indefinite aspects of a large organization can be taken into consideration when problem-solving, and that numerical solutions are easier to obtain as a result

Part of the book series: Advanced Manufacturing (ADVMANUF)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • E. Stanley Lee, Hsu-shih Shih
    Pages 1-9

  3. Linear Bi-level Programming

    • E. Stanley Lee, Hsu-shih Shih
    Pages 11-48

  4. Other Multi-level Programming Algorithms

    • E. Stanley Lee, Hsu-shih Shih
    Pages 49-80

  5. Possibility Theory and Knowledge Representation

    • E. Stanley Lee, Hsu-shih Shih
    Pages 81-95

  6. Fuzzy Decision Making

    • E. Stanley Lee, Hsu-shih Shih
    Pages 97-116

  7. Fuzzy Interactive Multi-level Decision Making

    • E. Stanley Lee, Hsu-shih Shih
    Pages 117-138

  8. Aggregation of Fuzzy Systems in Multi-level Decisions

    • E. Stanley Lee, Hsu-shih Shih
    Pages 139-155

  9. Possibilistic Minimum-cost Flow Problem

    • E. Stanley Lee, Hsu-shih Shih
    Pages 157-176

  10. Back Matter

    Pages 177-193
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Keywords

About this book

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.

Reviews

From the reviews:

"The book will interest researchers in operations research, management science, as well as fuzzy systems, who are working on problems of this type. Graduate students will also find this a source of ideas for research."
(R. Bharath, Choice, November 2001)

Authors and Affiliations

  • Department of Industrial & Manufacturing Systems Engineering, Kansas State University, Manhattan, USA

    E. Stanley Lee

  • Graduate School of Management Science, I-Shou University, Ta-Hsiang, Kaohsiung, Taiwan

    Hsu-shih Shih

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