A comprehensive assessment method based on improved principal component analysis

Liang Chen; Yafeng Li

doi:10.1117/12.3009212

16 October 2023 A comprehensive assessment method based on improved principal component analysis

Liang Chen, Yafeng Li

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128032B (2023) https://doi.org/10.1117/12.3009212
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

With the development of networked combat and integrated combat ideas and technologies, military combat is increasingly emphasizing the system-system confrontation and the effectiveness of the system. In response to the problems faced in the assessment of the effectiveness of weapon and equipment systems, such as the large number of assessment indicators and the diversity of system combat tasks, a comprehensive assessment method for the combat effectiveness of weapon and equipment systems is given. A comprehensive assessment method based on improved principal component analysis is proposed to eliminate the influence of correlation between indicators, while retaining the differences in the importance of each effectiveness indicator. For typical combat tasks, multiple simulations are run, all the information of the original data is retained while eliminating the dimension, and all the effectiveness indicators are integrated to obtain the comprehensive combat effectiveness of the system, which makes the system effectiveness assessment results more reasonable and comprehensive.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liang Chen and Yafeng Li "A comprehensive assessment method based on improved principal component analysis", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128032B (16 October 2023); https://doi.org/10.1117/12.3009212

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