Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Maximum Flow Finding in Fuzzy Dynamic Graph with the Given Vitality Degree

Authors
Alexander Bozhenyuk, Evgeniya Gerasimenko
Corresponding Author
Alexander Bozhenyuk
Available Online May 2016.
DOI
10.2991/itsmssm-16.2016.106How to use a DOI?
Keywords
fuzzy dynamic graph, fuzzy vitality degree, fuzzy flow
Abstract

The following paper describes the method of the maximum flow finding in fuzzy dynamic graph with the given vitality degree. The peculiarity of the problem is in fuzzy nature of the considered network and given vitality parameters assigned to arcs of the graph. Network’s parameters, such as arc capacities and vitality degrees can vary over time, because they have transit character. Such methods can be applied in the real networks solving the task of the optimal cargo transportation.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
10.2991/itsmssm-16.2016.106
ISSN
2352-538X
DOI
10.2991/itsmssm-16.2016.106How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Alexander Bozhenyuk
AU  - Evgeniya Gerasimenko
PY  - 2016/05
DA  - 2016/05
TI  - Maximum Flow Finding in Fuzzy Dynamic Graph with the Given Vitality Degree
BT  - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 547
EP  - 553
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.106
DO  - 10.2991/itsmssm-16.2016.106
ID  - Bozhenyuk2016/05
ER  -