基于离消度和IOWA算子的组合预测模型

Combined Forecasting Model Based on the Degree of Dispersion and IOWA Operator

引入诱导有序加权平均(IOWA)算子,建立以离消度为准则的变权组合预测模型。通过对粮食产量数据进行预测,依据绝对百分比误差和均方根误差对3种不同的组合模型预测结果进行比较。结果表明:文中提出的基于离消度和IOWA算子的组合模型能够提高样本的预测精度,在实际预测中是可行有效的。

The combined model with variable weights was established by introducing the IOWA operator.By using three different combined models,the data of food production were forecasted,which were compared according to the absolute percentage error and the root mean square error.The results show that the combined model based on the degree of dispersion and the IOWA operator can improve the prediction accuracy,and is effective in the prediction of grain yield.