Multigranulation roughness based on soft relations

Article type: Research Article

Authors: Shabir, Muhammad^a | Din, Jamalud^{a; *} | Ganie, Irfan Ahmad^b

Affiliations: [a] Department of Mathematics, Quaid-I-Azam University Islamabad, Pakistan | [b] Indian Institute of Technology Jodhpur, India

Correspondence: [*] Corresponding author. Jamalud Din, Department of Mathematics, Quaid-I-Azam University Islamabad, 44230, Pakistan. E-mail: [email protected].

Abstract: The original rough set model, developed by Pawlak depends on a single equivalence relation. Qian et al, extended this model and defined multigranulation rough sets by using finite number of equivalence relations. This model provide new direction to the research. Recently, Shabir et al. proposed a rough set model which depends on a soft relation from an universe V to an universe W . In this paper we are present multigranulation roughness based on soft relations. Firstly we approximate a non-empty subset with respect to aftersets and foresets of finite number of soft binary relations. In this way we get two sets of soft sets called the lower approximation and upper approximation with respect to aftersets and with respect to foresets. Then we investigate some properties of lower and upper approximations of the new multigranulation rough set model. It can be found that the Pawlak rough set model, Qian et al. multigranulation rough set model, Shabir et al. rough set model are special cases of this new multigranulation rough set model. Finally, we added two examples to illustrate this multigranulation rough set model.

Keywords: Rough set, multigranulation rough set, soft set, soft relation and approximation by soft binary relation

DOI: 10.3233/JIFS-201910

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10893-10908, 2021