American Journal of Business and Operations Research AJBOR 2692-2967 2770-0216 10.54216/AJBOR https://www.americaspg.com/journals/show/1483 2018 2018 Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt Ahmed Abdelmonem Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt Shimaa S. Mohamed 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. 2022 2022 47 59 10.54216/AJBOR.080105 https://www.americaspg.com/articleinfo/1/show/1483