Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)

An Improved VIKOR Model for Ballistic Missile Threat Assessment And Ranking

Authors
Shi Qu, Tinxin Xu, Liang Ma, Jianxun Liu
Corresponding Author
Shi Qu
Available Online December 2019.
DOI
10.2991/mmsta-19.2019.8How to use a DOI?
Keywords
ballistic missile; threat assessment; ranking; VIKOR; combination weight
Abstract

For the problem which the subjectivity of confirming weight is too strong and depending on accurate data in VIKOR, we propose a method of ballistic missile threat assessment based on improved VIKOR. In our method, VIKOR is improved at two aspects. On the one hand, the algorithm of confirming weith is improved, which adopts combination weight covering for expert decision-making; On the other hand, the computing model of VIKOR is improved also, which boosts up the ability of dealing with fuzzy problem. Experiments show that our method of ballistic missile threat assessment is reasonable.

Copyright
© 2019, 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/).

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Volume Title
Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
Series
Advances in Computer Science Research
Publication Date
December 2019
ISBN
10.2991/mmsta-19.2019.8
ISSN
2352-538X
DOI
10.2991/mmsta-19.2019.8How to use a DOI?
Copyright
© 2019, 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  - Shi Qu
AU  - Tinxin Xu
AU  - Liang Ma
AU  - Jianxun Liu
PY  - 2019/12
DA  - 2019/12
TI  - An Improved VIKOR Model for Ballistic Missile Threat Assessment And Ranking
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 34
EP  - 38
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.8
DO  - 10.2991/mmsta-19.2019.8
ID  - Qu2019/12
ER  -