A New Decision-Making Model Based on Plithogenic Set for Supplier Selection
Author | : Mohamed Abdel-Basset |
Publisher | : Infinite Study |
Total Pages | : 19 |
Release | : 2020-09-21 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
This paper proposes an integrated multi-attribute border approximation area comparison (MABAC) based on the best-worst method (BWM), plithogenic set, and rough numbers. BWM is applied to regulate the weight vector of the measures in group decision-making problems with a high level of consistency. For the treatment of uncertainty, a plithogenic set and rough number (RN) are used to improve the accuracy of results. Plithogenic set operations are used to deal with information in the desired manner that handles uncertainty and vagueness. Then, based on the plithogenic aggregation and the results of BWM evaluation, we use MABAC to find the optimal alternative according to defined criteria. To examine the proposed integrated algorithm, an empirical example is produced to select an optimal supplier within five options in the healthcare industry.