A New Type of Covering Rough Set

William Zhu, Fei-Yue Wang
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引用次数: 97

Abstract

Rough sets, a tool for data mining, deal with the vagueness and granularity in information systems. This paper studies a type of covering generalized rough sets. After presenting their basic properties, this paper explores the inter dependency between the lower and the upper approximation operations, conditions under which two coverings generate a same upper approximation operation, and the axiomatic systems for these operations. In the end, this paper establishes the relationships between this type of covering rough sets and the other covering rough sets in literature
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一类新的覆盖粗糙集
粗糙集是一种数据挖掘工具,用于处理信息系统中的模糊性和粒度问题。研究了一类覆盖广义粗糙集。在给出了上下逼近运算的基本性质之后,本文探讨了上下逼近运算之间的相互依赖关系,两个覆盖产生相同上逼近运算的条件,以及这些运算的公理系统。最后,本文建立了这类覆盖粗糙集与文献中其他覆盖粗糙集之间的关系
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