摘要
为了改善传统预测方法在航材消耗预测问题上的不适应性,基于案例推理方法,结合加权灰色关联与集对分析方法分别构建出案例推理模型,并利用熵值法与改进层级分析法确定灰色关联系数权重与案例集对特征因素权重。最后构建航材消耗组合推理模型,再依据推理结果对航材消耗数量进行预测,其结果具有一定的准确性和可靠性。
In order to improvethe inadaptability of the traditional prediction methods on air material consumption forecast,based onthe case-based reasoning method,two models are established on the basis of the weighted grey relevance analysis and set pair analysis method respectively.Entropy method and improved analytic hierarchy process are used to determine the weight of grey relevance number and characteristic factor weight of case set pair.Finally,acombinedreasoning model of air material consumption isconstructed,and the air material consumption quantity is predicted by the result of reasoning,with certain accuracy and reliability.
作者
袁福帅
崔崇立
朱臣
邵帅
赵磊
YUAN Fushuai;CUI Chongli;ZHU Chen;SHAO Shuai;ZHAO Lei(Brigade of Postgraduate, Air Force Logistics College, XuZhou 221000,China;Department of Air Material and Four Station, Air Force Logistics College, XuZhou 221000,China;Air Force Luoyang Equipment Warehouse,LuoYang 471000,China)
出处
《信息工程大学学报》
2021年第4期502-507,共6页
Journal of Information Engineering University
基金
科研基金资助项目。
关键词
灰色关联分析
集对分析
案例推理
航材
消耗预测
grey relational analysis
set pair analysis
case-based reasoning
air material
consumption forecast
