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一种基于证据理论的战时备件需求预测方法
引用本文:张云景,王鑫鑫,王洋,汤光明. 一种基于证据理论的战时备件需求预测方法[J]. 系统仿真学报, 2020, 32(2): 314-322. DOI: 10.16182/j.issn1004731x.joss.17-9177
作者姓名:张云景  王鑫鑫  王洋  汤光明
作者单位:解放军信息工程大学,河南 郑州 450001
基金项目:国家社科基金军事学项目(13GJ003-066)
摘    要:为解决战时备件需求预测缺乏数据的问题,提出一种基于证据理论的战时备件需求预测方法。构建马尔可夫链模型,从备件需求历史数据中挖掘平时备件需求规律;进而设计一种基于战斗强度变化的战时备件需求马尔可夫链转移概率调整策略,用于模拟战时备件需求规律;最后结合专家经验,综合利用模糊理论和证据理论实现对战时备件需求的预测。仿真算例表明,该方法能够有效实现战时备件需求的预测。

关 键 词:战时  备件需求预测  证据理论  战斗强度  模糊理论  
收稿时间:2017-12-14

Demand Forecasting of Wartime Spares Based on Evidence Theory
Zhang Yunjing,Wang Xinxin,Wang Yang,Tang Guangming. Demand Forecasting of Wartime Spares Based on Evidence Theory[J]. Journal of System Simulation, 2020, 32(2): 314-322. DOI: 10.16182/j.issn1004731x.joss.17-9177
Authors:Zhang Yunjing  Wang Xinxin  Wang Yang  Tang Guangming
Affiliation:PLA Information and Technology University, Zhengzhou 450001, China
Abstract:A new method based on evidence theory is proposed to solve the lack of data for the demand prediction of spares in wartime. Utilizing Markov chain model to research the rule of spares demand of peacetime from the historical data. A Markov chain transfer probability adjustment strategy, based on the change of combat intensity, is designed, which can be used to simulation the rule of spares demand in wartime. Under the experience of experts and the combination of the Fuzzy theory and evidence theory, the spares demand is wartime is forecasted. The simulation example shows that the method can effectively predict the spares demand of wartime.
Keywords:wartime  demand forecasting of spares  evidence theory  combat intensity  Fuzzy theory  
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