Abstract
This article applies the improved stochastic forest algorithm to online supply chain financial risk assessment and establishes the index system and corresponding model of the online supply chain financial risk assessment based on improved random forest. Data analysis proves the feasibility and accuracy of improved random forest applied to an online financial risk assessment of a supply chain, which provides a new risk assessment method.
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Acknowledgments
This work was supported by 2018 Beijing Talents foundation of organization department of Beijing Municipal Committee of the CPC (No.2018000026833ZS09), Science and technology innovation service capacity provincial-ministerial scientific research platform construction social science provincial-ministerial scientific research platform construction project (No.19008020111, No.19002020217).
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Zhang, H., Shi, Y. & Tong, J. Online supply chain financial risk assessment based on improved random forest. J. of Data, Inf. and Manag. 3, 41–48 (2021). https://doi.org/10.1007/s42488-021-00042-6
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DOI: https://doi.org/10.1007/s42488-021-00042-6