Traditional time series forecasting models mainly assume a clear and definite functional relationship between the historical values and the current/future values of a dataset. In this paper. we extended the current model by generating multi-attribute forecasting rules based on the consideration of combining multiple related variables. In this model. https://hollandscountryclothinges.shop/product-category/shoes/