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  • Book
  • © 2015

Multi-Level Decision Making

Models, Methods and Applications

  • First book to systematically and comprehensively present the theories and technologies of bi-level/multi-level decision making models, algorithms, software and applications as a whole
  • Presents theoretical models, computational algorithms and practical techniques, software systems and applications of multi-level decision making
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xvi
  2. Bi-level Decision Making

    1. Front Matter

      Pages 1-1
    2. Decision Making and Decision Support Systems

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 3-24
    3. Optimization Models

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 25-46
    4. Bi-level Programming Models and Algorithms

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 47-62
  3. Multi-level Multi-follower Decision Making

    1. Front Matter

      Pages 63-63
    2. Bi-level Multi-follower Decision Making

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 65-104
    3. Bi-level Multi-leader Decision Making

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 105-120
    4. Tri-level Multi-follower Decision Making

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 121-171
  4. Fuzzy Multi-level Decision Making

    1. Front Matter

      Pages 173-173
    2. Fuzzy Bi-level Decision Making

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 175-205
    3. Fuzzy Multi-objective Bi-level Decision Making

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 207-228
    4. Fuzzy Multi-objective Bi-level Goal Programming

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 229-247
  5. Rule-set-based Bi-level Decision Making

    1. Front Matter

      Pages 249-249
    2. Rule-Set-Based Bi-level Decision Making

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 251-286
  6. Multi-level Decision Support Systems and Applications

    1. Front Matter

      Pages 287-287
    2. Fuzzy Bi-level and Tri-level Decision Support Systems

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 289-314
    3. Bi-level Pricing and Replenishment in Supply Chains

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 325-336
    4. Bi-level Decision Making in Railway Transportation Management

      • Guangquan Zhang, Jie Lu, Ya Gao
      Pages 337-356

About this book

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.

Authors and Affiliations

  • Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

    Guangquan Zhang, Jie Lu, Ya Gao

Bibliographic Information

  • Book Title: Multi-Level Decision Making

  • Book Subtitle: Models, Methods and Applications

  • Authors: Guangquan Zhang, Jie Lu, Ya Gao

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-662-46059-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2015

  • Hardcover ISBN: 978-3-662-46058-0Published: 10 March 2015

  • Softcover ISBN: 978-3-662-51634-8Published: 22 October 2016

  • eBook ISBN: 978-3-662-46059-7Published: 07 February 2015

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XVI, 377

  • Number of Illustrations: 84 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Market Research/Competitive Intelligence

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access