摘要
针对后续备件需求预测精度低的问题,提出一种基于模糊软集合和贝叶斯的后续备件组合预测方法。首先根据后续备件的消耗规律,分别提出后续备件因果预测模型和时序预测模型;然后选取残差平方和、信息熵和相关系数作为预测效果的评价准则,以两种单项预测方法的预测效果作为先验信息,采用德尔菲法对单项预测方法进行模糊评价,构建模糊软映射;最后综合先验信息与专家模糊评价值,利用贝叶斯方法确定组合权系数求得预测结果。结合算例,对比分析方法的优越性,表明该方法具有较好的合理性和有效性。
In order to solve the problem of low accuracy of the demand predictionfor the subsequent spare parts,a new method for the prediction of subsequent spare parts is proposed by using fuzzy soft set and Bayesian.Based on the consumption rule of the subsequent spare parts,the causal prediction model and the time series prediction model are presented,and the sum of squared residuals,theinformation entropy and correlation coefficient are chosen as the evaluation criterion of prediction error.The prediction effect of two single prediction methods is used as prior information.Delphi method is used to evaluate the single prediction method and construct fuzzy soft mapping.Finally,combining the prior information and the fuzzy evaluation value of the experts,the combination weightcoefficient is determined by Bayesian method.An example is included to show the superiority,rationality and validity of the proposed method.
作者
董骁雄
陈云翔
张玮玉
张帆
DONG Xiaoxiong;CHEN Yunxiang;ZHANG Weiyu;ZHANG Fan(Equipment Management&Safety Engineering College,Air Force Engineering Uni versity,Xi’an,710051,China;Southern Airlines Company Branch,Xi’an,710065,China;Unit 66139 of PLA,Beijing,100144,China)
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2018年第5期672-678,共7页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金(71571190,71601183,L1534031)资助项目。
关键词
后续备件
组合预测
模糊软集合
贝叶斯
subsequent spare parts
combination forecast
fuzzy soft set
Bayesian