专利预测是一个复杂的非线性过程,因此使用传统的预测方法很难对其进行有效的预测。本文利用灰色系统理论,克服了数据缺乏、影响因子非线性程度高的困难,建立了适用于专利趋势预测的预测模型,并利用MATLAB和VB实现了该模型,同时实例进行了检验,结果表明了该方法的可行性和有效性。
Patent forecast is a complex nonlinear process;therefore traditional forecast methods are not effective for patent forecasting. This paper focuses on a patent forecasting model was coded by VB and MATLAB and built based on grey system theory, which can overcome the difficulties of data shortage and nonlinearity. The model was verified by some examples and the result shows its feasibility and validity.