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Prediction of uncertainty risk factors in engineering management system based on improved decision tree

Author

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  • Rong Tang
  • Guoxiong Zhang
  • Yunxia Li

Abstract

In order to overcome the problem of low efficiency of the current prediction method for uncertainty risk factors in engineering management system, this paper proposes a prediction method for uncertainty risk factors in engineering management system based on improved decision tree. In this method, the reason model (accident causal model of complex system) and software, hardware, environment and livewar (SHEL) model are used to analyse the uncertainty risk factors in engineering management system, and the prediction system of uncertainty risk factors is established. The fuzzy clustering analysis method is used to judge the expert weight of risk factors, and the improved decision tree algorithm combined with the judgment results is used to predict the uncertainty risk factors in engineering management system. The simulation results show that the proposed method can reduce the prediction error rate by 1.5% in the following time.

Suggested Citation

  • Rong Tang & Guoxiong Zhang & Yunxia Li, 2023. "Prediction of uncertainty risk factors in engineering management system based on improved decision tree," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 44(3), pages 285-301.
    • Handle: RePEc:ids:ijisen:v:44:y:2023:i:3:p:285-301
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