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Fuzzy-Like Multiple Objective Multistage Decision Making

  • Jiuping Xu
  • Ziqiang Zeng

Part of the Studies in Computational Intelligence book series (SCI, volume 533)

Table of contents

  1. Front Matter
    Pages 1-23
  2. Jiuping Xu, Ziqiang Zeng
    Pages 1-68
  3. Jiuping Xu, Ziqiang Zeng
    Pages 69-107
  4. Jiuping Xu, Ziqiang Zeng
    Pages 109-166
  5. Jiuping Xu, Ziqiang Zeng
    Pages 167-197
  6. Jiuping Xu, Ziqiang Zeng
    Pages 199-261
  7. Jiuping Xu, Ziqiang Zeng
    Pages 263-320
  8. Jiuping Xu, Ziqiang Zeng
    Pages 321-347
  9. Back Matter
    Pages 349-378

About this book

Introduction

Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization

Keywords

Computational Intelligence Decision Making Fuzzy-Like Multiple Objective Multistage Decision Making

Authors and affiliations

  • Jiuping Xu
    • 1
  • Ziqiang Zeng
    • 2
  1. 1.Uncertainty Decision-Making LaboratorySichuan UniversityChengduPeople's Republic of China
  2. 2.Uncertainty Decision-Making LaboratorySichuan UniversityChengduPeople's Republic of China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-03398-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-03397-6
  • Online ISBN 978-3-319-03398-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site