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Relationships between covering-based rough sets and relation-based rough sets

机译:基于覆盖的粗糙集和基于关系的粗糙集之间的关系

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摘要

Rough set theory is an important technique to deal with vagueness and granularity in information systems. In rough set theory, relation-based rough sets and covering-based rough sets are two important extensions of the classical rough sets. This paper investigates relationships between relation-based rough sets and covering-based rough sets. Firstly, we unify five types of covering-based rough sets under a framework of a type of relation-based rough sets, and establish the equivalences between four types of covering-based rough sets and the type of relation-based rough sets, respectively. Then, within the proposed framework, conditions required for two different coverings to generate the same approximation operators are investigated. We also present some sufficient and necessary conditions for different types of covering-based rough sets to be equal. Furthermore, two examples are taken to illustrate applications of the discussion about relationships between covering-based rough sets and relation-based rough sets.
机译:粗糙集理论是一种处理信息系统模糊性和粒度的重要技术。在粗糙集理论中,基于关系的粗糙集和基于覆盖的粗糙集是经典粗糙集的两个重要扩展。本文研究了基于关系的粗糙集和基于覆盖的粗糙集之间的关系。首先,我们在一种基于关系的粗糙集的框架下统一五种基于覆盖的粗糙集,并分别建立了四种类型的基于覆盖的粗糙集与基于关系的粗糙集之间的等价关系。然后,在提出的框架内,研究了两个不同覆盖以生成相同的近似算子所需的条件。我们还提出了一些充分必要的条件,以使不同类型的基于覆盖的粗糙集相等。此外,以两个例子来说明关于基于覆盖的粗糙集和基于关系的粗糙集之间的关系的讨论的应用。

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