摘要
针对目前装备使用阶段测试性数据来源于专家信息这类存在不确定性因素的信息,会直接影响测试性验证结论的准确性和完整性。为了增加测试性数据的可信度,基于导弹装备使用阶段测试性数据,提出了灰色关联分析的方法流程,对数据进行相关性分析。结果表明,基于灰色关联算法的数据相关性分析方法能得到测试性数据可信度程度,并挖掘出测试性指标间潜在的关联规律,能丰富专家信息,有助于提高验证准确度。
The testability data for the use phase of the equipment is derived from information with uncertainties, such as ex. pert experience, which will directly affect the accuracy and completeness of the testabilty validation conclusion. In order to increase the credibility of testability data, the method of gray correlation analysis was put forward based on the testability data of missiles in order to correlation analysis. The results show that data relational analysis based on gray correlation al. gorithm can improve the reliability of test data and dig out the potential correlation between testability indicators. Mean. while this method can enrich the expert experience information and help to improve the verification accuracy.
作者
肖支才
王康
赵学远
余龙海
XIAO Zhicai;WANG Kang;ZHAO Xueyuan;YU Longhai(Naval Aeronautical University, Yantai Shandong 264001,China)
出处
《海军航空工程学院学报》
2019年第2期223-227,共5页
Journal of Naval Aeronautical and Astronautical University
基金
国家自然科学基金资助项目(61473306)
关键词
测试性
不确定性
测试性验证
灰色关联分析
testability
uncertainty
testability verification
gray correlation analysis