粗糙集分类与不确定性度量在两个泛集上的逼近
Approximation of Classification and Measures of Uncertainty in Rough Set on Two Universal Sets
VIT University（维洛尔理工学院）
摘要：
粗糙集的概念捕获了集合中元素的不可分割性。但是，在许多现实生活中，信息系统建立了不同宇宙之间的关系。从而将单泛集上的粗糙集推广到双泛集上的粗糙集。本文利用二元关系中的知识，在两个泛集上引入了基于粗糙集的分类近似和不确定性度量。
英文摘要：
The notion of rough set captures indiscernibility of elements in a set. But, in many real life situations, an information system establishes the relation between different universes. This gave the extension of rough set on single universal set to rough set on two universal sets. In this paper, we introduce approximation of classifications and measures of uncertainty basing upon rough set on two universal sets employing the knowledge due to binary relations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
