IMIS中基于Rough集的知识推理

粗糙集理论作为智能信息处理技术的一个新成果,是对不完整数据进行分析的新方法。毫无疑问,它是除模糊集理论外的又一种最具挑战性的领域,也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。粗糙集是知识发现、数据约简、决策支持、分类、模式识别和控制等领域中新的,有效数学方法。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知识推理方法。然后以一个实际例子讨论如何利用粗集理论从现有学生综合素质数据库中进行知识约简,获取新决策规则,并使之用于对学生的操行评定。

Data reasoning based on Rough set in the intelligent educational administration MIS

Rough set theory is a new mathematical approach to uncertain and vague data analysis. It is, no doubt, one of the most challenging areas, besides fuzzy set theory, of modern computer applications nowadays and a new, very important and rapidly growing area of research and applications. The application of rough set theory for 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, it presents the basic concepts of rough set theory briefly. And then, it gives the method of data reduction based on the rough set theory. At last, it particularizes a useful example in which it shows us how to use the theory of rough set to reduce the data from the student's all-around diathesis data base, and gets the new decision rules, and to give the grades of behavior of a student.