中文摘要：

讨论基于三支决策的自适应粗糙集近似方法，给出自适应粗糙集近似属性评价函数的算法。为清楚表达在粗糙集近似过程中对象和属性之间的关系，引入描述集的概念，在描述集的意义下根据属性评价函数对目标概念进行自适应粗糙集近似。最后，把自适应粗糙集近似过程与认知过程进行比较，并分析它们的相似性，借助该近似过程的思想，在一定程度上提高人们的认知效率。

英文摘要：

An adaptive learning method of rough set approximation based on three-way decision-theory is discussed,andan algorithm for attribution evaluation function is also established.What’s more,in order to make the relationship clearerbetween objects and attributes through the process of rough set approximation,the concept of description set is introduced.Then a given target concept can be approximated under the known attribute evaluation function.Finally,the processbetween the new approximation method and cognition is compared,and their similarities are analyzed as well.Withthe benefit of the inspiration from the approximation process,the efficiency of cognition can be improved to some extent.