4.4 Article

A comparison of two types of rough approximations based on Nj-neighborhoods

期刊

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 41, 期 1, 页码 1393-1406

出版社

IOS PRESS
DOI: 10.3233/JIFS-210272

关键词

N-j-neighborhoods; E-j-neighborhoods; j-neighborhood space; lower and upper approximations; accuracy measure; topological space

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In 1982, Pawlak introduced the concept of rough sets as a new mathematical tool to address vagueness and uncertain knowledge. Some researchers have recently explored the application of topological concepts in rough set theory. This discussion further studies properties of N-j-neighborhoods and introduces new types of approximation spaces with established main properties. Comparisons are made between the approximations and accuracy measures in this study and those induced from topological operators and E-neighborhoods.
In 1982, Pawlak proposed the concept of rough sets as a novel mathematical tool to address the issues of vagueness and uncertain knowledge. Topological concepts and results are close to the concepts and results in rough set theory; therefore, some researchers have investigated topological aspects and their applications in rough set theory. In this discussion, we study further properties of N-j-neighborhoods; especially, those are related to a topological space. Then, we define new kinds of approximation spaces and establish main properties. Finally, we make some comparisons of the approximations and accuracy measures introduced herein and their counterparts induced from interior and closure topological operators and E-neighborhoods.

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