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.
Downloads
![](https://fs.unm.edu/nss8/public/journals/1/article_4394_cover_en.png)
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Neutrosophic Sets and Systems
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.