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

作　　者：梅国建[1] 钟波[1] 张向波[1] 赵中凯[1] 

机构地区：[1]装甲兵工程学院技术保障工程系,北京100072

出　　处：《兵工自动化》2013年第1期8-11,共4页Ordnance Industry Automation

摘　　要：针对传统预测模型在预测过程中信息利用不充分和预测对象复杂多变的问题,建立一种基于IOWA算子的最优组合预测模型。该模型利用IOWA算子集合灰色系统建模和小波神经网络处理非线性复杂系统的优点,以误差平方和为准则对数据进行分析,并利用Matlab工具箱对其进行优化计算,从而得出最优组合预测结果。实例分析结果验证了该组合预测模型的科学性和优越性。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 

分 类 号：TJ02[兵器科学与技术—兵器发射理论与技术]