基于灰色聚类法的仿真系统可信度分析

仿真系统可信度分析是仿真理论特别是仿真VV＆A技术研究的重要内容,也是仿真系统开发的重点及难点工作之一.该文首先对仿真系统可信度分析的常用方法进行了分析和比较,针对仿真系统信息存在不完备、不全面和不充分的特点,把灰色聚类理论引入到仿真系统可信度分析中,给出了仿真系统可信度分析的灰色关联聚类法、灰色变权聚类法和灰色定权聚类法的单级和多级评判模型,最后分析比较了这三种方法的特点和适用范围.

Simulation System Confidence Evaluation Using Grey Clustering Method

The analysis of simulation system confidence is an important content of simulation theory and simulation VV&A(Verification Validation and Accreditation) technology especially,and is an important and difficult work in developing a simulation system.Firstly,according to the character of incomplete,immature and insufficient information of simulation system,this paper presents the use of grey clustering methods to assess the confidence of simulation system,then lists the operational steps of single-level and multi-level assessment models of grey relation clustering,grey variable weight clustering and grey fixed weight clustering in detail,and finally discusses the character and application range of three clustering methods.