基于加权灰色推理的航材需求预测  

Air Material Demand Forecasting Based on Grey Relevance Reasoning

作　　者：袁福帅 崔崇立(指导)[2] 朱浩涛 YUAN Fu-shuai;CUI Chong-li;ZHU Hao-tao(Brigade of Postgraduate,Air Force Logistics College,Xuzhou Jiangsu 221000;Department of Air Material and Four Station,Air Force Logistics College,Xuzhou Jiangsu 221000)

机构地区：[1]空军勤务学院研究生大队,江苏徐州221000 [2]空军勤务学院航材四站系,江苏徐州221000

出　　处：《数字技术与应用》2021年第9期219-221,共3页Digital Technology & Application

摘　　要：航材需求预测是航材保障工作的基础,对场站航材股实施保障任务有着至关重要的影响。而对于飞行任务而言,影响航材需求量的因素太多,随机性强,难以定量分析预测需求。因此,结合加权灰色关联分析的理念提出了案例推理方法,并利用熵值法确定影响因素的灰色关联系数权重。最后,结合推理结果对航材需求进行预测,其结果具有一定的可行性和准确性。The demand prediction of air materials is the basis of air materials guarantee work,which has a vital influence on the implementation of air materials support task in the terminal.However,for flight missions,there are too many factors affecting the consumption of air materials and the randomness is strong,so it is difficult to quantitatively analyze and predict the demand.Based on the concept of weighted grey correlation analysis,case-based reasoning method is proposed,and entropy method is used to determine the weight of grey correlation coefficient of influencing factors.Finally,combining with the inference results,the air material demand is predicted,and the results have certain feasibility and accuracy.

关 键 词：灰色关联分析 案例推理 航材 需求预测 

分 类 号：E92[军事—军事装备学]