Abstract
In the sphere of IoT, one of the most significant issues is quality of service (QoS), which is critical for both developers and customers. As a result, IoT platform developers are working to enhance models that will meet consumer expectations in terms of IoT services meeting their expected specified levels of quality. The multidimensional architecture of the IoT platform, combined with the ambiguous mindset of consumers' thinking, makes QoS evaluation a difficult process. As a result, this study seeks to solve these issues and proposes a new paradigm for assessing QoS in IoT ecosystems. The proposed approach evaluates QoS in two steps, with the goal of assessing QoS at all levels. To address the issue of uncertainty, the metric values and QoS were represented using a fuzzy logic method. The model correctly estimated the QoS for 50 services in the dataset, and the results show that 16 services are classed as high quality, while 25 are rated as medium quality and the rest rated as low quality.
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