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Multi-Level Decision Making

Models, Methods and Applications

  • Guangquan Zhang
  • Jie Lu
  • Ya Gao

Part of the Intelligent Systems Reference Library book series (ISRL, volume 82)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Bi-level Decision Making

    1. Front Matter
      Pages 1-1
    2. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 3-24
    3. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 25-46
    4. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 47-62
  3. Multi-level Multi-follower Decision Making

    1. Front Matter
      Pages 63-63
    2. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 65-104
    3. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 105-120
    4. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 121-171
  4. Fuzzy Multi-level Decision Making

    1. Front Matter
      Pages 173-173
    2. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 175-205
    3. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 207-228
    4. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 229-247
  5. Rule-set-based Bi-level Decision Making

    1. Front Matter
      Pages 249-249
    2. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 251-286
  6. Multi-level Decision Support Systems and Applications

    1. Front Matter
      Pages 287-287
    2. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 289-314
    3. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 325-336
    4. Guangquan Zhang, Jie Lu, Ya Gao
      Pages 337-356
  7. Back Matter
    Pages 357-377

About this book

Introduction

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice.

This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters.

Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.

 

Keywords

Applications Of Multi-Level Decision Making Bi-Level Decision Making Business Applications Computational Intelligence Multi-Level Decision Making

Authors and affiliations

  • Guangquan Zhang
    • 1
  • Jie Lu
    • 2
  • Ya Gao
    • 3
  1. 1.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
  2. 2.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
  3. 3.Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-46059-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-46058-0
  • Online ISBN 978-3-662-46059-7
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site