基于对数灰关联度的IGOWLA算子最优组合预测模型

The Combination Forecasting Model Based on Degree of Logarithm Grey Incidence and Induced Geometric Ordered Weighted Logarithm Averaging( IGOWLA) Operator

在对数灰关联度和诱导广义有序加权对数平均算子(IGOWLA)等概念的基础上,构建了基于对数灰关联度的IGOWLA算子的最优组合预测模型,并引入组合预测模型的优性及非劣性定义.实例计算结果表明,提出的方法确为一种优性组合预测,能够有效地提高预测精度.

In this paper,a new combination forecasting model was proposed based on degree of logarithm grey incidence and induced geometric ordered weighted logarithm averaging（ IGOWLA） operator by combining the induced ordered geometric ordered weighted logarithm averaging operator and the degree of grey incidence.At the same time,the conception of superior combination forecasting and noninferior combination forecasting was given. Finally,an example is illustrated by using the model. The example showed that the combination forecasting model was effective and reasonable,and it was superior combination forecasting.