Affiliations: School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, P.R. China
Correspondence:
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Corresponding author. Xiaomin Wang, School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, P.R. China. Tel./Fax:+86 03358064341; E-mail: [email protected].
Note: [1] This work is partially supported by Nature Science Foundation of Hebei Province under Grant No. A2019501024.
Abstract: A new model named multi-granularity belief interval-valued soft set is introduced in this paper. Some basic properties about it are presented and illustrated. The improved concepts of the soft belief value and soft belief degree are proposed, which provided an easier and better compared horizontally and vertically method among the different objects and different parameters. An algorithm for decision-making problems on multi-granularity belief interval-valued soft set is put forward and its validity is proved by the application of an example. Moreover, the newly proposed algorithm is compared with existing method to indicate its extensive application.
