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Abstract

In order to improve the effect of financial management and risk (FMAR) early warning in colleges and universities (CAU), this paper combines the decision tree classification algorithm to process financial management data in CAU as well as constructs a four-dimensional dynamic investment decision-making game system. The stability criterion of discrete dynamical system is used to analyze and discuss the stability of each equilibrium point (EP) of nonlinear system. This could be improved to: “We utilize the stability criterion of a discrete dynamical system to analyze and discuss the stability of equilibrium points in the nonlinear system.” A financial management early warning model for universities was constructed based on actual situations, and the practical effect of the model was verified through experimental analysis methods. The parameter conditions when the EP is asymptotically stable in the system are given. In addition, this paper combines the decision tree algorithm to build a FMAR early warning system for CAU. The experimental analysis shows that the decision tree classification algorithm proposed in this paper has obvious application effect in the FMAR early warning of CAU. This article effectively simulates the nonlinear management mode in financial management of universities and reflects the actual economic activities and related influencing factors of universities through function simulation.

Keywords

decision tree classification algorithm financial management risk early warning

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Application of decision tree classification algorithm for financial management and risk early warning in universities

Abstract

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