Comparison of six types of rough approximations based on j-neighborhood space and j-adhesion neighborhood space

Author:

Atef Mohammed1,Khalil Ahmed Mostafa23,Li Sheng-Gang2,Azzam A.A.45,El Atik Abd El Fattah6

Affiliation:

1. Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Menoufia, Egypt

2. College of Mathematics and Information Science, Shaanxi Normal University, Xi’an, P.R. China

3. Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut, Egypt

4. Department of Mathematics, Faculty of Science and Humanities, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia

5. Department of Mathematics, Faculty of Science, New Valley University, Elkharga, Egypt

6. Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt

Abstract

In this paper, we generalize three types of rough set models based on j-neighborhood space (i.e, type 1 j-neighborhood rough set, type 2 j-neighborhood rough set, and type 3 j-neighborhood rough set), and investigate some of their basic properties. Also, we present another three types of rough set models based on j-adhesion neighborhood space (i.e, type 4 j-adhesion neighborhood rough set, type 5 j-adhesion neighborhood rough set, and type 6 j-adhesion neighborhood rough set). The fundamental properties of approximation operators based on j-adhesion neighborhood space are established. The relationship between the properties of these types is explained. Finally, according to j-adhesion neighborhood space, we give a comparison between the Yao’s approach and our approach.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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