【摘要】 粗糙集理论作为智能信息处理技术的一个新成果，提供了一种对不确定、不完整数据进行分析的新方法，是现今计算机应用中一个新的非常重要且发展迅速的研究和应用领域．在知识发现、数据约简、决策支持、分类、模式识别和控制等领域中特别有效。本文首先对粗糙集基本概念和理论进行了介绍，给出了基于粗糙集的数据约简和决策支持方法。然后对实习学生教学情况初始评价表进行推理，获取了一些指导规则。这些在对实习学生的指导过程中有非常重要的作用。更多还原

【Abstract】 Rough Set theory is a new mathematical approach to uncertain and vague data analysis.It isone of the most challenging areas of modern computer applications nowadays and a new,very impor-tant and rapidly growing area of research and applications.The applications of Rough Set theory,such as knowledge discovery,data reduction,decision support,classification,pattern recognition,control and others,have proved to be a very effective new mathematical approach.In this paper,wepresent the basic concepts of Rough Set theory briefly and give the method of data reduction based onthe Rough Set theory.At last,we particularize a useful example which shows us how to use the theo-ry of Rough Set to reduce the data from the students’ exercitation data base,and get the new decisionrules.更多还原