Flows in Networks Under Fuzzy Conditions

Softcover Nachdruck of the original 1. Auflage 2017
ISBN: 978-3-319-82398-0
Verlag: Springer International Publishing

Buch, Englisch, Band 346, 168 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 277 g

Reihe: Studies in Fuzziness and Soft Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Bozhenyuk, Alexander Vitalievich

Rozenberg, Igor Naymovich

Gerasimenko, Evgeniya Michailovna

Kacprzyk, Janusz

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction.- Flow Tasks In Networks In Crisp Conditions.- Maximum And Minimum Cost Flow Finding In Networks In Fuzzy Conditions.- Flow Tasks Solving In Dynamic Networks With Fuzzy Lower, Upper Flow Bounds And Transmission Costs.