Application of Cloud Model in Month Sales Volume of Goods Forecast
Yan Xian · Science Technology and Engineering · 2010
Against the difficult problems in protean month sales volume of goods,the method of cloud model is proposed to do month sale forecasting.Cloud regulation generators calculate the subordination degree to describe the variety and digital eigenvalue of each month's sale.Then the dust cloud is calculated with the help of natural cloud generator.The cloud model resolves fuzziness and randomness in forecasting results.Comparing with the method of time sequence forecasting,the experiment result displays that the method of cloud model is more accurate.It has practical significance and commercial value.