A rough set is basically an approximation representation of the given data. The representation is expressed in two subsets defined on the data set: the upper ...
Abstract—Intelligent decision systems often need to deal with vague and uncertain data. Several approaches are commonly used to address this problem, ...
Aug 3, 2011 · A rough set is basically an approximation representation of the given data. The representation is expressed in two subsets defined on the data ...
Feb 15, 2022 · We present a novel kind of neighborhood, named subset neighborhood and denoted as -neighborhood. It is defined under an arbitrary binary relation.
A rough set is basically an approximation representation of the given data. The representation is expressed in two subsets defined on the data set: the upper ...
This article explores the notion of definable sets in approximation spaces based on coverings, and presents properties of algebraic structures obtained from ...
This paper concerns generalized approximation spaces via topological methods and studies topological properties of rough sets. Classical separation axioms ...
Soft rough sets based on covering and their applications
mathematicsinindustry.springeropen.com › ...
Mar 22, 2024 · Soft rough sets based on covering model is a combination between soft sets theory and rough sets theory depending on covering.
Ten important types of covering rough set models are first reviewed, and the algebraic structures of definable sets, inner Definable sets and outer ...
Missing: Study | Show results with:Study
Covering based rough sets are systematically investigated by generalizing these formulations and definitions. A covering of universe of objects is used to ...