Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Based on the Multi-attribute Fuzzy Decision-making of Anti-ship Missile Attacks on the Sea Scheme Optimization

Authors
Shuqi Wang, Liang Ma
Corresponding Author
Shuqi Wang
Available Online January 2016.
DOI
10.2991/emcs-16.2016.9How to use a DOI?
Keywords
Destroyers fleet optimization scheme; The optimal relative; Multi-attribute fuzzy decision-making
Abstract

Using the multi-attribute fuzzy decision-making method, the mathematical model of the minimum weighted average deviation method to the fleet to the sea combat missiles combat the effect, the fleet command coordination ability, the missile lead attack ability and the elements such as combat damage index system are analyzed, and concluded with a core of a new type of destroyers fleet optimization scheme, which is of great significance to the improvement of comprehensive fleet combat ability.

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 International Conference on Education, Management, Computer and Society
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/emcs-16.2016.9
ISSN
2352-538X
DOI
10.2991/emcs-16.2016.9How 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  - Shuqi Wang
AU  - Liang Ma
PY  - 2016/01
DA  - 2016/01
TI  - Based on the Multi-attribute Fuzzy Decision-making of Anti-ship Missile Attacks on the Sea Scheme Optimization
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 35
EP  - 39
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.9
DO  - 10.2991/emcs-16.2016.9
ID  - Wang2016/01
ER  -