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A comparison of two types of rough approximations based on <i>N</i> <sub> <i>j</i> </sub> -neighborhoods

Tareq M. Al-shami, Ibtesam Alshammari, M. E. El-Shafei

2021Journal of Intelligent & Fuzzy Systems22 citationsDOI

Abstract

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.

Topics & Concepts

Rough setVaguenessTopological spaceClosure (psychology)Approximations of πMathematicsSpace (punctuation)Set (abstract data type)Computer scienceTopology (electrical circuits)Pure mathematicsData miningArtificial intelligenceApplied mathematicsFuzzy logicCombinatoricsEconomicsProgramming languageOperating systemMarket economyRough Sets and Fuzzy Logic