摘要
从目标分类角度,通过挖掘隐藏在各指标隶属度中关于目标分类的知识信息,设计一种滤波器,能清除指标隶属度中对目标分类不起作用的冗余数值,在无冗余数据干扰下实现隶属度转换。由此建立隶属度转换的一般方法,最终解决系统仿真可靠性评价中隶属度转换问题。
Redundant data, which are useless to objective classification, are involved in calculation of membership degrees of the objective. Therefore, in order to classify objects properly, through mining the hidden knowledge information from the membership of index, a filtering algorithm, which can filter the redundant data in the index membership function, is proposed to converse membership degrees without no redundancy date. Based on this, at last, a general algorithm for conversing membership degrees which can be used in reliability evaluation on inertial navigation system simulation is proposed.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第6期1492-1495,共4页
Systems Engineering and Electronics
基金
国家自然科学基金项目(60474019)
河北省自然科学基金项目(F2005000482)资助课题
关键词
仿真可靠性
模糊综合评价
隶属度转换
区分权
有效值
可比值
simulation reliability
fuzzy comprehensive evaluation
conversion of membership degree
distinguishable weight
valid values
comparable values
