<![CDATA[This study presents an overview of the use of fuzzy methods in the diagnosis and prediction of diabetes mellitus. Fuzzy logic approaches have attracted attention in diabetes management due to their ability to overcome uncertainty and vagueness in medical data. Through the Literature Review research method, related articles selected from online databases have been systematically analyzed to evaluate the various approaches that have been developed. Findings from the literature review show that the use of fuzzy methods in diabetes diagnosis and prediction has resulted in significant progress, with some studies achieving high levels of accuracy. However, some challenges such as dataset limitations and dependency on certain features were also identified. In addition, the potential and challenges of fuzzy logic in diabetes diagnosis are discussed, including opportunities to improve diagnostic interpretation and comorbidity of medical data.]]>
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