An Intelligent Neutrosophic Type-II Model for Selecting Optimal Internet of Things (IoT) Service Provider: Analysis and Application

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. 

DOI: 10.5281/zenodo.11002145