Studies in Computational Intelligence

Fuzzy-Like Multiple Objective Multistage Decision Making

Authors: Xu, Jiuping, Zeng, Ziqiang

  • Recent research on Fuzzy-Like Multiple Objective Multistage Decision Making
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  • Due: October 20, 2016
  • ISBN 978-3-319-34314-3
  • Free shipping for individuals worldwide
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About this book

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

Table of contents (7 chapters)

  • Multiple Objective Multistage Decision Making

    Xu, Jiuping (et al.)

    Pages 1-68

  • Elements of Fuzzy-Like MOMSDM

    Xu, Jiuping (et al.)

    Pages 69-107

  • Fuzzy MOMSDM for Dynamic Machine Allocation

    Xu, Jiuping (et al.)

    Pages 109-166

  • Fuzzy MOMSDM for Closed Multiclass Queueing Networks

    Xu, Jiuping (et al.)

    Pages 167-197

  • Fuzzy Random MOMSDM for Inventory Management

    Xu, Jiuping (et al.)

    Pages 199-261

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-319-03398-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-319-03397-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 20, 2016
  • ISBN 978-3-319-34314-3
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy-Like Multiple Objective Multistage Decision Making
Authors
Series Title
Studies in Computational Intelligence
Series Volume
533
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-03398-3
DOI
10.1007/978-3-319-03398-3
Hardcover ISBN
978-3-319-03397-6
Softcover ISBN
978-3-319-34314-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXIV, 378
Number of Illustrations and Tables
111 b/w illustrations
Topics