一种有效评估大型复杂仿真系统可信度的新方法  

A New Method of Elevation of Confidence Level of Large-Scale Perplexing Simulation System

作　　者：柳世考[1] 刘兴堂[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《系统仿真学报》2001年第5期666-669,共4页Journal of System Simulation

基　　金：国防科技预研基金项目(99J4.2.3.JB3101)

摘　　要：根据大型复杂仿真系统的特点，文章提出了一种基于相似理论利用模糊数学评估可信度的新方法。作者给出了建立大型复杂仿真系统可信度评估的模糊综合评估体系的原则和模糊评判矩阵的建立方法及模糊定量评估方法和算法。这种方法尤其适用于"黑盒"和"灰盒"According to the characteristic of large-scale perplexing simulation system, a new method that is based on similarity theory and evaluates confidence level with fuzzy mathematics has been put forward. The principle that establishes fuzzy synthetic discrimination system of elevation confidence level of large-scale perplexing simulation system is put forward. So are the techniques of establishing fuzzy synthetic discrimination matrix and fixed quantity elevation algorithm and method, which are particularly applicable 'black box' and 'ashen box' systems.

关 键 词：大型复杂仿真系统 可信度评估 模糊综合评判 数学模型 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]