Symmetry (Jul 2017)

A Novel Rough Set Model in Generalized Single Valued Neutrosophic Approximation Spaces and Its Application

  • Zhi-Lian Guo,
  • Yan-Ling Liu,
  • Hai-Long Yang

DOI
https://doi.org/10.3390/sym9070119
Journal volume & issue
Vol. 9, no. 7
p. 119

Abstract

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In this paper, we extend the rough set model on two different universes in intuitionistic fuzzy approximation spaces to a single-valued neutrosophic environment. Firstly, based on the ( α , β , γ ) -cut relation R ˜ { ( α , β , γ ) } , we propose a rough set model in generalized single-valued neutrosophic approximation spaces. Then, some properties of the new rough set model are discussed. Furthermore, we obtain two extended models of the new rough set model—the degree rough set model and the variable precision rough set model—and study some of their properties. Finally, we explore an example to illustrate the validity of the new rough set model.

Keywords