Multigranulation single valued neutrosophic covering-based rough sets and their applications to multi-criteria group decision making
نویسندگان
1 College of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, PR China
2 School of Arts and Sciences, Shaanxi University of Science and Technology, Xi'an 710021, PR China
doi
10.22111/ijfs.2020.5519چکیده
In this paper, three types of (philosophical, optimistic and pessimistic) multigranulation single valued neutrosophic (SVN) covering-based rough set models are presented, and these three models are applied to the problem of multi-criteria group decision making (MCGDM).Firstly, a type of SVN covering-based rough set model is proposed.Based on this rough set model, three types of multigranulation SVN covering-based rough set models under the concept of multigranulation SVN $\beta$-covering approximation space are proposed, where $\beta$ is a SVN number.Moreover, the connections among these four models are investigated.Secondly, some conditions under which different multigranulation SVN $\beta$-covering approximation spaces induced the same multigranulation SVN covering approximation operators are presented.Finally, three novel methods are presented to MCGDM problems under the multigranulation SVN covering-based rough set models.Furthermore, the proposed MCGDM methods are compared with other methods through a problem about paper defect diagnosis.
