Fuzzy Logic-Based Comparative Analysis among Urologists towards Urology Disease Diagnosis
Keywords:
Urological diseases, symptom-disease relation, fuzziness, vagueness, fuzzy set theory, fuzzy occurrence indication/conformability relationsAbstract
In the middle of the 1970s, attempts were made to use soft computing approaches to predictuncertainty in the medical profession. A doctor's medical knowledge is based on language terms that are typically inaccurate, hazy, fuzzy, or ambiguous
References
Y. F. Hernández-Julio, M. J. Prieto-Guevara, W. Nieto-Bernal, I. Meriño-Fuentes, and A. Guerrero-Avendaño, “Framework for the development of data-driven mamdani- type fuzzy clinical decision support systems,” Diagnostics, vol. 9, no. 2, 2019, doi: 10.3390/diagnostics9020052.
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Published
2023-03-05
How to Cite
Sunil Kumar Singh, Dr. Megha Mishra, DR Navin Ram Daruka,DR Pramod Kumar Rai. (2023). Fuzzy Logic-Based Comparative Analysis among Urologists towards Urology Disease Diagnosis . Journal of Computational Analysis and Applications (JoCAAA), 31(3), 903–929. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4967
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