Parameter estimation based on lmi with bounded data uncertainties 的具有一类不确定性数据的参数估计
Rough set theory developed in1980s is a new mathematical tool to deal with vagueness and uncertainty of information Roughset理论是20世纪80年代发展起来的一种处理不完整、不确定性数据的新型数学工具。
There is much indefinite knowledge in intrusion detection , so it is reasonable to utilize rough set ( rs ) theory that is competent for disposing obscured knowledge in intrusion detection 由于入侵检测领域中的存在着大量的不确定性数据,提出将处理非确定性信息的粗糙集理论应用到入侵检测领域中。
This paper focuses on the three fields of mining classification rules , and presents three new algorithms : ( 1 ) the discernibility function - based of rough set theory algorithm to eliminate redundant attributes from an information system , which can get all reducts of an information system , especially the best one 本文所做的主要工作如下: ( 1 )根据粗糙集理论是处理含糊性和不确定性数据的一种主要数学工具,提出了基于粗糙集理论的可辨识函数的属性约简算法。该算法可以计算出信息系统的所有可能约简,及最佳约简。