Overview
- Describes advanced methods for flow tasks in transportation networks
- Analyzes flow problems in dynamic networks
- Shows how to use the described methods in the GIS «ObjectLand»
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 346)
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Table of contents (4 chapters)
Keywords
About this book
This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a concise introduction to flow theory and tasks, the book analyzes two important problems. The first is related to determining the maximum volume for cargo transportation in the presence of uncertain network parameters, such as environmental changes, measurement errors and repair work on the roads. These parameters are represented here as fuzzy triangular, trapezoidal numbers and intervals. The second problem concerns static and dynamic flow finding in networks under fuzzy conditions, and an effective method that takes into account the network’s transit parameters is presented here. All in all, the book provides readers with a practical reference guide to state-of-the art fuzzy methods for solving flow tasks and offers a valuable resource for all researchers and postgraduate students in the fields of network theory, fuzzy models and decision-making.
Authors and Affiliations
Bibliographic Information
Book Title: Flows in Networks Under Fuzzy Conditions
Authors: Alexander Vitalievich Bozhenyuk, Evgeniya Michailovna Gerasimenko, Janusz Kacprzyk, Igor Naymovich Rozenberg
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-41618-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-41617-5Published: 09 August 2016
Softcover ISBN: 978-3-319-82398-0Published: 12 June 2018
eBook ISBN: 978-3-319-41618-2Published: 30 July 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VIII, 168
Number of Illustrations: 115 b/w illustrations
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Operations Research/Decision Theory, Artificial Intelligence