郝东,赵建忠,张书君,方轶.基于贝叶斯理论的武器装备质量评估方法研究[J].装备环境工程,2016,13(4):168-175. HAO Dong,ZHAO Jian-zhong,ZHANG Shu-jun,FANG Yi.Research on Military Equipment Quality Evaluation Method Based on Bayes Theory[J].Equipment Environmental Engineering,2016,13(4):168-175.
基于贝叶斯理论的武器装备质量评估方法研究
Research on Military Equipment Quality Evaluation Method Based on Bayes Theory
投稿时间:2016-03-11  修订日期:2016-08-15
DOI:10.7643/ issn.1672-9242.2016.04.027
中文关键词:  武器装备  贝叶斯网络  质量评估  评估指标
英文关键词:military equipment  Bayes networks  quality evaluation  evaluation index
基金项目:
作者单位
郝东 海军驻西安八七二厂军事代表室,西安 710065 
赵建忠 海军航空工程学院,山东 烟台 264001 
张书君 海军驻北京地区电子设备军事代表室,北京 100070 
方轶 海军航空工程学院,山东 烟台 264001 
AuthorInstitution
HAO Dong Navy Military Representative Office of 872th Manufactory in Xi’an , Xi’an 710065, China 
ZHAO Jian-zhong Naval Aeronautical Engineering University, Yantai 264001, China 
ZHANG Shu-jun Navy Electronic Equipment Representative Office in Beijing, Beijing 100070, China 
FANG Yi Naval Aeronautical Engineering University, Yantai 264001, China 
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中文摘要:
      目的 面对不断变化的未来不确定战场环境,在有限资源和技术水平下,提出一种有效的武器装备质量评估方法。方法 将专家调查法与贝叶斯网络法相结合,用专家调查法对装备整体质量的重要度进行描述,在科学选取装备质量指标的基础上,利用贝叶斯网络的推理功能估算装备质量变化情况,构建基于贝叶斯网络的武器装备质量评估模型。结果 该方法评价过程中减少了主观因素的影响,准确性较高。结论 该方法发挥了专家调查法对于模糊信息的定量判断能力,突出了贝叶斯网络方法处理非线性关系及预测和诊断的能力,有利于对装备质量做出科学合理的评估。
英文摘要:
      Objective To propose a kind of effective method to evaluate the quality of weapons under the limited resources and technical level when faced with the constantly changing and uncertain battlefield environment in future. Methods The expert investigation method and Bayes networks were combined. The importance level of the entire equipment quality was described in expert investigation method. Based on the scientific selection of equipment quality indicators, the reasoning function of Bayes networks was used to estimate the changes in equipment quality, and weapon quality evaluation model based on Bayes networks was established. Results The evaluation method reduced the effect of subjective factors and had higher accuracy. Conclusion The evaluation method has demonstrated that the expert investigation method is able to make a judgment on vague information and highlighted the ability of the Bayes networks to deal with non-linear relationship and make estimations and diagnosis. Therefore the method can make scientific and reasonable evaluation on equipment quality.
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