When incremental objects are added into a decision information system, a new attribute reduction can be got by this method quickly.
当有新的数据对象被加入决策表，可有效提高属性约简的效率。On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained.
在此基础上，利用粗糙集约简算法剔除冗余属性，得到约简属性，并进行规则提取，最后进行实例研究检验。On the basis of that, redundancy attributes are eliminated by RS reduction algorithm. Reduction attributes and rules are gained.
在此基础上，利用约简算法剔除冗余属性，获取约简属性，并进一步提取决策规则。Many algorithms about attribute reduction take the core as the beginning, the computation is complicated.
很多属性约简算法以核为起点，计算繁杂。At last, we propose the concept of E-relative reduct of condition attributes and give its discernibility function computing approach.
最后给出条件属性的E-相对约简的概念及其区分函数求法。In the theory of rough set, attribute reduction of decision table was an important research subject.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.
属性约简是粗糙集理论的一个核心问题，近年来已经成为粗集研究的热点。For brevity I shall confine myself here to those definitions of saving and investment which correspond to Income No. I.
为了约简起见，此处我将限于谈及那些与第一号收入相当的储蓄与投资的定义。The Attribute reduction of Information system is one of the focus of Rough Set Theory and Applied research.
信息系统的属性约简是所有粗糙集理论和应用研究的焦点问题之一。