Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)

Effectiveness Evaluation of Kill Chain Based on PCA, AHP and Entropy Weight Method

Authors
Xulong Li, Jiayu Lu, Zhanbao Gao, Yuxuan Yang
Corresponding Author
Xulong Li
Available Online July 2018.
DOI
https://doi.org/10.2991/msam-18.2018.41How to use a DOI?
Keywords
kill chain; PCA; AHP; effectiveness evaluation
Abstract

The Kill Chain is of great significance in forming systemic combat capabilities and improving combat effectiveness. Aiming at the evaluation of Kill Chain operational effectiveness, an evaluation indicator system is constructed. Principal components analysis is used to filtrate the original evaluation indicators, and the main indicators affecting the effectiveness of the kill chain are determined; afterwards, the evaluation model is established based on entropy weight method and Analytic Hierarchy Process. A quantitative assessment is conducted using kill chains formed by actual weapons, which verifies that the model is effective and feasible.

Copyright
© 2018, 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 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
Series
Advances in Intelligent Systems Research
Publication Date
July 2018
ISBN
978-94-6252-566-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-18.2018.41How to use a DOI?
Copyright
© 2018, 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  - Xulong Li
AU  - Jiayu Lu
AU  - Zhanbao Gao
AU  - Yuxuan Yang
PY  - 2018/07
DA  - 2018/07
TI  - Effectiveness Evaluation of Kill Chain Based on PCA, AHP and Entropy Weight Method
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 192
EP  - 196
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.41
DO  - https://doi.org/10.2991/msam-18.2018.41
ID  - Li2018/07
ER  -