基于改进灰色关联分析的仿真数据综合一致性检验方法

为全面有效检验仿真数据的一致性,提出一种基于改进灰色关联分析的仿真数据综合一致性检验方法. 以灰色关联分析思想为基础,综合考虑数据序列间的形状和距离,构建了改进的灰色关联度模型. 针对实际系统工作过程包含多个阶段,各阶段在整个过程中的重要程度不同的问题,利用层次分析法确定其权重,定义综合关联度,用以评价整个仿真数据的一致性. 该一致性检验方法既利用了有限的客观数据,又结合了对实际系统工作状况的考虑,而且对数据容量和分布特性没有要求,便于在计算机上实现. 通过对电磁轨道炮的主要性能指标放电电流的一致性检验,验证了该方法的可行性和有效性. 

A Comprehensive Consistency Test Method Based on Improved Grey Relational Analysis for Simulation Results

To improve the quality of consistency test, a comprehensive consistency test method based on improved grey relational analysis theory is proposed. An improved grey relational grade model is constructed in terms of the shape and distances between data series. Considering that the work process of actual system usually consists of multiple stages and work status in every stage has different impact on the final results, the comprehensive relational grade is defined and the weights of indicators are determined through analytic hierarchy process method. Finally, the dynamic consistency of the whole simulation data could be assessed by weighted comprehensive relational grade. The proposed method not only can make full use of finite data, but also can consider the actual work situation of system. Moreover, it has no demand for the volumes and distribution of data and is convenient to be realized on computer. By the consistency test for the rail-gun discharge current, which is an essential indicator, the feasibility and effectiveness of the proposed method has been verified.