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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In the decision-making mechanism, we used the Mamdani method, which is one of the fuzzy logic inference methods.
📌 3 Key Takeaways
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Objective & Hypothesis:In this work, we developed a fuzzy decision-making method to help diagnose of Familial Mediterranean Fever (FMF), with the support of a doctor who is an expert in the field, and we briefly called it the FMF fuzzy diagnosis method (FMF-FDM).
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Key Findings & Data:In this work, we developed a fuzzy decision-making method to help diagnose of Familial Mediterranean Fever (FMF), with the support of a doctor who is an expert in the field, and we briefly called it the FMF fuzzy diagnosis method (FMF-FDM).
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Conclusion & Impact:In the decision-making mechanism, we used the Mamdani method, which is one of the fuzzy logic inference methods.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Disease diagnosis · familial Mediterranean fever disease · fuzzy evaluation
Abstract
In this work, we developed a fuzzy decision-making method to help diagnose of Familial Mediterranean Fever (FMF), with the support of a doctor who is an expert in the field, and we briefly called it the FMF fuzzy diagnosis method (FMF-FDM). In the decision-making mechanism, we used the Mamdani method, which is one of the fuzzy logic inference methods.
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Cite This Article
Gülender, E., Cagman, N., Akın, B. (2025). Diagnosis of Familial Mediterranean Fever (FMF) with Fuzzy Logic. Ikonion Journal of Mathematics, Volume: 7 Issue: 1. https://doi.org/10.54286/ikjm.1565074