Editors:
- 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)
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Front Matter
About this book
Editors and Affiliations
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School of Economics and Management, Beijing University of Chemical Technology, Beijing, China
Xiang Li
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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