介绍了敏感性分析的定义,列出了许多基于数理统计、神经网络和粗糙集知识的敏感性分析方法,并且尝试着对一些常用方法的优缺点进行分析.结合敏感性分析的研究现状,对今后的研究工作提出了一些展望.
Main methods of sensitivity analysis based on statistic, artificial neural networks and rough sets were reviewed in this paper. The advantages and disadvantages were analysed. The current status of sensitivity analysis and perspectives regarding further research were presented.