Classic rough set theory is based on complete data sets, though data fro-m practice are usually incomplete.
经典粗糙集是基于完备数据集合的,但在实际应用中,很多时候搜集到的数据往往是不完备的。
参考来源 - 粗糙集理论在不完备信息系统知识获取中的应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
不完备数据分析方法的应用研究。
摘要:粗糙集是用来处理不确定、不完备数据的重要工具之一。
Absrtact: Rough set theory is a new mathematical tool to research imprecise and incomplete data.
基于粗糙集理论的不完备数据分析方法,以可辨识矩阵作为算法的基础,提出了一种改进的不完备数据分析方法。
Based on an incomplete data analysis method of the rough set theory and the distinguish matrix, bring forward an improved ROUSTIDA algorithm.
One of the things we said last time was, with that set of things, the ability to give values-- sorry, to give names to values-- the ability to make decisions, the ability to loop as a function of that, the ability get things in and out, we said that that actually gave us a language we said was Turing-complete.
上次我们和以上内容一起说过,我们可以赋值--抱歉,为数值命名--可以做出判断决定-,并且据此进行循环,可以输入输出数据,我们说拥有这些功能的语言,是图灵完备的。
应用推荐