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Flows in networks under fuzzy conditions

Bozhenyuk, Alexander Vitalievich.

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Flows in networks under fuzzy conditions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Flows in networks under fuzzy conditions/ by Alexander Vitalievich Bozhenyuk ... [et al.].
other author:	Bozhenyuk, Alexander Vitalievich.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	viii, 168 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Fuzzy logic. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-41618-2
ISBN:	9783319416182

Flows in networks under fuzzy conditions
Flows in networks under fuzzy conditions[electronic resource] /by Alexander Vitalievich Bozhenyuk ... [et al.]. - Cham :Springer International Publishing :2017. - viii, 168 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3461434-9922 ;. - Studies in fuzziness and soft computing ;v.346..

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.

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.

ISBN: 9783319416182

Standard No.: 10.1007/978-3-319-41618-2doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Flows in networks under fuzzy conditions
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245 0 0 $a Flows in networks under fuzzy conditions $h [electronic resource] / $c by Alexander Vitalievich Bozhenyuk ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 168 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.346
505 0 $a 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.
520 $a 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.
650 0 $a Fuzzy logic. $3 532071
650 0 $a Traffic flow $x Mathematical models. $3 904752
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Bozhenyuk, Alexander Vitalievich. $3 3216427
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.346. $3 3216428
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-41618-2
950 $a Engineering (Springer-11647)