Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 115,24
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 3319823981 ISBN 13: 9783319823980
Anbieter: moluna, Greven, Deutschland
EUR 92,27
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Flows in Networks Under Fuzzy Conditions | Alexander Vitalievich Bozhenyuk (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | viii | Englisch | 2018 | Springer | EAN 9783319823980 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319823981 ISBN 13: 9783319823980
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.