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Proceedings of the Seventh International Forum on Decision Sciences

  • Conference proceedings
  • © 2020

Overview

  • Presents some attractive results on the cutting-edge modeling on uncertain decision-making in the field of intelligent transportation and logistics with big data
  • Illustrates some valuable practical case studies on uncertain decision-making in the field of intelligent transportation and logistics with big data
  • Identifies some efficient solution methods on uncertain decision-making in the field of intelligent transportation and logistics with big data

Part of the book series: Uncertainty and Operations Research (UOR)

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Table of contents (23 papers)

Keywords

About this book

These proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics, supply chain management, and decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium “The Seventh International Forum on Decision Sciences”, which took place in Windsor, Canada.

Editors and Affiliations

  • School of Economics and Management, Beijing University of Chemical Technology, Beijing, China

    Xiang Li

  • College of Economics & Management, China University of Petroleum, Qingdao, China

    Xiaofeng Xu

Bibliographic Information

  • Book Title: Proceedings of the Seventh International Forum on Decision Sciences

  • Editors: Xiang Li, Xiaofeng Xu

  • Series Title: Uncertainty and Operations Research

  • DOI: https://doi.org/10.1007/978-981-15-5720-0

  • Publisher: Springer Singapore

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-15-5719-4Published: 18 September 2020

  • Softcover ISBN: 978-981-15-5722-4Published: 19 September 2021

  • eBook ISBN: 978-981-15-5720-0Published: 17 September 2020

  • Series ISSN: 2195-996X

  • Series E-ISSN: 2195-9978

  • Edition Number: 1

  • Number of Pages: VII, 209

  • Number of Illustrations: 9 b/w illustrations, 53 illustrations in colour

  • Topics: Operations Research/Decision Theory, Logistics

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