摘要
粗集理论是一种新的软计算方法,可以有效地分析和处理不完备信息,本文介绍了知识的粒度和属性的重要度等概念,得到了Skowron的分辨矩阵若干定理.利用这些结果,提出计算知识粒度和属性重要度的新方法,给出这些方法的应用,应用例子表明本文提出的方法的有效性.
Rough sets theory is a new soft computing tool to deal with vagueness and uncertainty. This paper introduces the concept of knowledge granulation, the significance of attribute. Several theorems of Skowron's discernable matrix are gained by utilizing these concepts. And by utilizing the results gained, this paper proposes a new computational method of knowledge granulation, the significance of attribute, and the application of the methods, examples of which demonstrates the effectiveness of the result obtained.
出处
《聊城大学学报（自然科学版）》
2004年第4期16-18,共3页
Journal of Liaocheng University:Natural Science Edition
基金
福建省自然科学基金(A0410026)
