國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Flows in networks under fuzzy conditions

Bozhenyuk, Alexander Vitalievich.

Flows in networks under fuzzy conditions

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Flows in networks under fuzzy conditionsby Alexander Vitalievich Bozhenyuk ... [et al.].
其他作者:	Bozhenyuk, Alexander Vitalievich.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	viii, 168 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy logic.
電子資源:	http://dx.doi.org/10.1007/978-3-319-41618-2
ISBN:	9783319416182$q(electronic bk.)

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.273..

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$q(electronic bk.)

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

181981
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Flows in networks under fuzzy conditions
LDR:02456nmm a2200325 a 4500 001 504607
003 DE-He213
005 20160730063753.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783319416182$q(electronic bk.)
020 $a 9783319416175$q(paper)
024 7 $a 10.1007/978-3-319-41618-2 $2 doi
035 $a 978-3-319-41618-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA9.64
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 511.313 $2 23
090 $a QA9.64 $b .F644 2017
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 181981
650 0 $a Traffic flow $x Mathematical models. $3 229305
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Transportation Technology and Traffic Engineering. $3 724870
650 2 4 $a Operation Research/Decision Theory. $3 585050
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
700 1 $a Bozhenyuk, Alexander Vitalievich. $3 769471
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.273. $3 558583
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-41618-2
950 $a Engineering (Springer-11647)