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兵工学报 ›› 2013, Vol. 34 ›› Issue (9): 1197-1200.doi: 10.3969/j.issn.1000-1093.2013.09.023

• 研究简报 • 上一篇    

基于模糊推理的战时备件需求预测

刘喜春1, 祝龙石1, 张伟2   

  1. 1. 95899 部队, 北京100085; 2. 92857 部队, 北京100161
  • 收稿日期:2012-05-13 修回日期:2012-05-13 上线日期:2013-11-11
  • 作者简介:刘喜春(1979—),女,工程师,博士。

Analysis of Random Dynamic Stiffness Characteristics of Supercavitating Vehicle Structure

LIU Xi-chun1, ZHU Long-shi1, ZHANG Wei2   

  1. 1. Unit 95899, Beijing 100085, China; 2. Unit 92857, Beijing 100161, China
  • Received:2012-05-13 Revised:2012-05-13 Online:2013-11-11

摘要:

针对战时多阶段备件需求的不确定性及阶段相关性特点,提出了基于模糊推理的战时备件需求预测方法。把体现作战意图的专家预测值与体现需求量阶段相关性的Markov 预测值结合起来,通过Mamdani 模糊推理规则及反模糊化给出最终备件需求预测值。采用语言变量描述备件需求量,定义了需求量模糊集合,并在Markov 预测需求量时直接采用该模糊集描述系统状态。实例表明该预测方法能有效用于缺乏历史需求记录的战时备件需求预测问题中。

关键词: 运筹学, 需求预测, 模糊推理, Markov 预测, 备件

Abstract:

A new fuzzy inference-based wartime spares demand forecasting method is presented for the uncertainty and stage-relativity of the spares demand during multi-stage war, in which expert forecasting value and Markov forecasting value are combined. The result is obtained according to the Mamdani-style inference mechanism and defuzzification. The fuzzy set of demand is defined by linguistic variable naturally, which is introduced in Markov forecasting to describe the system state directly. The validity of the method is illustrated by an example.

Key words: operation research, demand forecasting, fuzzy inference, Markov forecasting, spares

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