摘要
本文提出了一种用模糊集的截集来表示抽象知识库中不精确概念的方法，讨论了这种表示的基本性质和拓扑特征。据此文建立起的模糊表示理论对讨论抽象知识的简化与扩张。
In this paper, we propose that an imprecise concept in an abstract knowledge base may be represented approximately by using a cut of a fuzzy set. Further, we discuss basic properties and topological characterization of the imprecision. This paper may be regarded as the basis of fuzzy representation theory, which plays a key role in discussing the reduction of knowledge, the extension of knowledge and the application to machine learning.
出处
《河北大学学报（自然科学版）》
CAS
1996年第4期1-6,共6页
Journal of Hebei University(Natural Science Edition)
