基于最大——最小贴近度的IOWA算子最优组合预测模型

The Optimal Combination Forecasting Model Based on the Maximum-minimum Approach Degree and Induced Ordered Weighted Averaging(IOWA) Operator

将最大一最小贴近度与IOWA算子相结合,建立了基于最大一最小贴近度的IOWA算子最优组合预测模型,并且定义了在最大一最小贴近度下非劣性组合预测、预测方法优超等概念.在此模型下,研究了模型的非劣性组合预测及优性组合预测存在的充分条件.最后给出实例分析,表明该组合预测方法的有效性.

In this paper, we propose an optimal combination forecasting model based on the maximum-minimum approach degree and IOWA operator. Subsequently, we give the concept of non-inferior combination forecasting and dominant forecasting method under the maximum-minimum approach degree. We also study the properties of the model, such as the sufficient condition of existence for the non-inferior combination forecasting and superior combination forecasting of the model. Finally, an example is given to illustrate the proposed approach, which shows the effectiveness of the combination forecasting method.