Decision Hybrid Classifier Model for the Risk Adjust and Control

S. Wang, X. Cheng, and C. Leng (PRC)


decision analysis, classifier, Bayesian network, financial risk warning, risk control


At present, the methods of using decision analysis lack the function of prediction and the forecast technology is unfit for decision-making. In this paper, the decision and utility nodes are combined for classifier to develop decision hybrid classifier model. In the model, the process of prediction and decision-making can be syncretized. The model is used in enterprise financial risk adjustment and control while the method and the process of controlling risk and finding optimal decision are presented by joint example. The model has universality and can be widely used on risk control and warning in many domains.

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