云模型在商品月销售量预测中的应用

针对营销企业商品月销售数量变化不定的难点,提出了基于云模型的商品月销售量的预测方法。根据云规则发生器计算云模型的数字特征值和所需数目的云滴,来预测未来商品月销售数量。云模型预测解决了预测数据的模糊性和随机性问题。实验结果表明,和基于时间序列季节预测方法相比,采用云模型预测的结果更准确,对企业的销售预测具有现实意义和参考价值。

Application of Cloud Model in month sales volume of goods forecast

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 m...