IoT Device Connectivity Selection Using a Hybrid Multi-Criteria Group Decision-Making Approach

The Internet-of-Things (IoT) systems hold immense promise for transforming various aspects of our lives and industries, driving significant societal and economic advancements. This research paper aims to investigate the significance of IoT systems in various domains, focusing specifically on the industrial application, emphasizing the pivotal role of reliable and efficient device connectivity within such systems. To address the challenges posed by uncertainty and ambiguity in real-life scenarios, we proposed the integration of rough set theory with multi-criteria decision-making approaches to evaluate and classify IoT devices in the industrial domain. The utilization of the proposed hybrid multi-criteria group decision-making approach allows us to effectively model and handle the uncertainty arising from expert assessments. This paper emphasized the computation of parameter weights using a chosen weighting technique to facilitate decision-making processes influenced by subjective information. Finally, an example case shows how the framework may be applied.