Abstract
In this paper, the addition-subtraction frequency (ASF) approach is used to predict the years of potentially costly war, which may erupt with the United States of America in the future. In the numerical experiments involved in this paper, we select the years of historic 10 most expensive wars as input data, using three-variable, full-traversal ASF approach to predict the potential years of most costly war that may occur in the future. By using different 9-input data (removing one each year datum) to test the robustness of the experimental results, the final conclusion is that there is a relatively high possibility of most costly war occurring in 2021 or 2036–2038.
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Acknowledgments
This work is supported by Shenzhen Science and Technology Plan Project (with number JCYJ20170818154936083). Kindly note that all authors of the paper are jointly of the first authorship.
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Zhang, Y., Yang, G., Wang, R., Ming, L. (2020). Predicting Potential Years of Most Costly War Involving USA via ASF Approach. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_52
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DOI: https://doi.org/10.1007/978-3-030-32456-8_52
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