大型仿真推演系统数据质量评估方法

Data Quality Evaluating Method of Large-scale Simulation Rehearsal System

数据是大型仿真推演系统建立和运行的基础,一定程度上其质量直接关系着整个系统应用的水平、广度及深度。首先建立了大型仿真推演数据质量的评价指标体系,包括3个一级指标和相对应的二级指标,然后提出了定性指标的定量化、定量指标的无量纲化的指标指数确定方法,以及在分析权重确定的基础上提出了主观赋权与客观赋权相结合的方法,最后基于AHP法以某一装甲兵作战仿真推演系统的数据为例进行了质量评估,从宏观上得到了一个整体的数据质量评价。

Data prides sound foundation for modeling and operation of simulation rehearsal system, to some extent, its quality direct affects level, extent and depth of the system application. Firsdy through establishing an index architecture of data quality evaluation for large-scale simulation rehearsal system, including three first-degree indexes and relevant secondary indexes, and then the methods for index quantification of qualitative index quantifying and quantitative index non-dimension are proposed. As well as the associative methods for subjective and impersonal evaluating are proposed base on weight calculation analyzing. Taking one large-scale armor operating simulation rehearsal system as an example,the data quality evaluating method based on Analytic Hierarchy Process is examined in the end,and one whole data quality evaluation was gained by macroscopically.