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The utilization of Internet of Things (IoT) technologies in the medical field has resulted in the development of numerous intelligent applications and devices for health monitoring. These devices generate a large amount of data, which is collected in various formats and often exhibits uncertainty. As a consequence, interpreting and sharing these data among various medical systems poses a significant challenge. To address this challenge, ontologies, particularly fuzzy ontologies, have been employed to ensure semantic interoperability among these systems and enable them to comprehend, share, and effectively utilize fuzzy data. Therefore, to address these issues, the main objective of this paper is the fuzzification of the HealthIoT ontology. Fuzzification includes concepts related to the medical field and the IoT domain (connected objects). We showcased the application of the Fuzzy-HealthIoT ontology in a specific …