基于熵权-IOWGA算子的变权组合预测新方法

摘要

针对熵权法组合权重分配固定不变的问题,提出一种基于IOWGA算子的权重分配方法,建立基于熵权-IOWGA算子的变权组合模型.该方法以各单一模型的预测精度作为诱导值,按每一期诱导值的大小对单一模型进行有序赋权,并将其应用到变形数据分析中.实验表明,该方法赋权过程合理,模型预测精度更高,更加适用于变形分析预测过程.%In order to solve the problem of fixed weighting of the entropy weighting method,two models are proposed:a weight assignment method based on IOWGA operator and a variable weight combinatorial model based on entropy weighting and IOWGA operator.In this method,the prediction precision of each model is used as the induced value,and the single model is orderly weighted according to the magnitude of each period.We use an example to illustrate this method.Experimental results show that the method has the advantages of reasonable weighting process,better model higher prediction accuracy,and is more suitable for deformation analysis and prediction.