2692-2967ISSN (Online)
2770-0216ISSN (Print)
Volume 8 , Issue 1 , PP: 47-59, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Ahmed Abdelmonem 1 * , Shimaa S. Mohamed 2
Doi: https://doi.org/10.54216/AJBOR.080105
The Internet of Things (IoT) is a crucial and rapidly developing technology that is employed in a wide variety of essential real-life apps, including those in which it may be used to enhance decision making. However, the presence of a number of potential sources of uncertainty inside the IoT infrastructure might influence decision makers to take decisions that are not suitable. In the work that is being presented here, the primary emphasis is placed on the development of a risk-based decision-making methodology for the Internet of Things (IoT), with the goal of efficiently managing uncertainties and incorporating prior domain knowledge into the decision-making process. The creation of the framework is based on a systematic literature analysis that examines the risks and reasons of ambiguity in decision-making systems related to the internet of things (IoT). IoT risk contains many and conflicting criteria so, the concept of multi-criteria decision making is introduced to overcome this problem. The purpose of this article is to provide the comprehension survey of the decision making based on IoT risk evaluation.
Industrial Application , IoT , Risk , Big Data , Healthcare
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