Neutrosophic Sets and Systems
Abstract
The Internet of Things, or IoT, is a rapidly expanding technology, and one of its most important application areas is sustainable transportation. Choosing the right IoT service provider is a complex process that is considered a multi-criteria decision issue. The multi-criteria decision-making (MCDM) methodology deals with massive criteria. This study proposed an MCDM methodology for selecting the best IoT service provider under different sustainable criteria. The Multi-Objective Optimization Ratio Analysis (MOORA) method is an MCDM methodology used to rank the alternatives. The MOORA method is integrated with a type 2 neutrosophic set to deal with uncertain information. The proposed MCDM methodology applied to six criteria and 13 alternatives. The results show that alternative 3 is the best and alternative 5 is the worst. The sensitivity analysis was conducted to show the stability of the rank. The sensitivity analysis was performed under seven cases; the results show that the rank of alternatives was stable under different cases. The comparative study was conducted to show the effectiveness of the proposed methodology.
Recommended Citation
Alrashdi, Ibrahim. "An Efficient Neutrosophic Type-2 Model for Selecting Optimal Internet of Things (IoT) Service Provider: Analysis and Applications." Neutrosophic Sets and Systems 66, 1 (2024). https://digitalrepository.unm.edu/nss_journal/vol66/iss1/14
