基于数据站场的系统效能评估决策支持方法

摘要

随着信息技术的发展，系统信息量的提升给军事系统效能评估带来了新的问题。针对系统效能分析数据非线性、高维数、强耦合的特点，提出了一种基于数据站场技术的效能评估决策支持方法。通过数据恢复、约减、求精与重构操作，对评估数据进行了处理，并搭建了数据站场立方体，降低了数据间的依赖性，满足了不同层面系统分析的需求。以面向任务的网络化火控系统的为例，进行了系统效能评估、时效性评估和指标分析，从三个层次验证了方法的有效性与可行性。将数据挖掘技术应用到仿真系统效能评估决策中，获得了更广泛的应用。%With the development of information technology,the increase of system information brings new problems to the military system effectiveness evaluation.Aiming at nonlinear,high dimension and strong coupling data of system effectiveness analysis,a data yard based system effectiveness evaluation and decision support method was proposed.Data recovery,subtraction,refinement and reconstruction operations were applied to the simulation data processing,then a data yard cube was built up to meet the multiple demands for system analysis of different levels and data dependency were reduced.Taking task-oriented networked fire control system for example,its system effectiveness evaluation,timeliness evaluation and indices analysis were carried out,and practicability and validity of the method were verified in three levels.Applying data mining technology to the simulation system effectiveness evaluation decision-making,makes it get more extensive application.