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Demand forecasts play a crucial role in modern enterprise management. However, the diversity and uncertainty of the economic environment often make it hard to produce accurate forecasting results, especially when historical data change dramatically and there rise similar or substituting products. This paper discusses how to handle the historical demand data, analyze the market share of similar products,...
This paper presents a combined forecasting model for uncertain demands based on rough set (RS) and radial basic function (RBF) network. First, RBF network is introduced to work on the historical data and extrapolate future demands. Then attributes reduction of the RS is applied to analyze the datasheet and draw the kernel index set from it. The forecasting results are obtained with a combination of...
A kind of combination forecasting model based on Holt-Winters method and the evaluation model of customer credit are proposed in this paper, utilizing the time series data of demand. The Holt-Winters model is used to identify the pattern which contained in data set, while the customer-credit evaluation model is used to analyze the intent of ordering, which can reduce the uncertainty of prediction...
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