Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Fuzzy-Like Multiple Objective Multistage Decision Making

Fuzzy-Like Multiple Objective Multistage Decision Making

Xu, Jiuping, Zeng, Ziqiang

2014, XXIV, 378 p. 111 illus.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$139.00

(net) price for USA

ISBN 978-3-319-03398-3

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$179.00

(net) price for USA

ISBN 978-3-319-03397-6

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Recent research on Fuzzy-Like Multiple Objective Multistage Decision Making
  • Carefully written monograph
  • Written by experts in the field
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

Content Level » Research

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

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents 

Multiple Objective Multistage Decision Making.- Elements of Fuzzy-Like MOMSDM.- Fuzzy MOMSDM for Dynamic Machine Allocation.- Fuzzy MOMSDM for Closed Multiclass Queuing Networks.- Fuzzy Random MOMSDM for Inventory Management.- Fuzzy Random MOMSDM for Facilities Planning.- Fuzzy Random MOMSDM for Transportation Assignment.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.