摘要
构建模糊AR(p)时间序列模型,对CPI进行了预测,通过实际数据模拟发现,与传统的ARIMA模型相比,模糊AR(p)时间序列模型预测的效果更好.
This paper constructs the fuzzy AR(p)time series model to predict CPI.Through the actual data simulation,it is found that the prediction effect of fuzzy AR(p)time series model is better than the traditional ARIMA model.
作者
袁兰兰
张爱武
YUAN Lan-lan;ZHANG Ai-wu(School of Mathematics and Statistics,Yancheng Teachers University,Yancheng 224002,China)
出处
《数学的实践与认识》
2023年第1期76-82,共7页
Mathematics in Practice and Theory
基金
国家社会科学基金项目(17BTJ026)。
