兵工自动化Issue(1)：8-11,4.DOI:10.7690/bgzdh.2013.01.003
基于IOWA算子的装备备件需求量组合预测模型
Combination Forecasting Model of Equipment Spare Parts Demand Based on IOWA Operator
梅国建 1钟波 1张向波 1赵中凯1
作者信息
- 1. 装甲兵工程学院技术保障工程系，北京 100072
- 折叠
摘要
Abstract
Aiming at the problems of not fully utilizing the data, complicated and changeable of the forecasting target during the traditional predicting, a combination forecasting model based on induced ordered weighted average (IOWA) operator is put forward. This model utilizes IOWA operator to assemble the advantages of the grey systematic and wavelet neural network, analyzes the data based on the square of error and uses Matlab toolbox for optimize calculating to get the best result. The example analysis result shows that the combination model is scientifically and ascendantly.关键词
备件/需求量/IOWA算子/组合预测Key words
spare parts/requirements/IOWA operator/combination forecasting分类
军事科技引用本文复制引用
梅国建,钟波,张向波,赵中凯..基于IOWA算子的装备备件需求量组合预测模型[J].兵工自动化,2013,(1):8-11,4.
