Management and Economics Scientific Research Journal Volume 2 Issue 2 (2025) · pp. 49-56
SUNʼIY INTELLEKTNI TALQIN QILISH VA QAROR QABUL QILISH: NORAVSHAN FIKRLASH TIZIMLARINI HISOBLASH MODELLARINI CHUQUR O‘RGANISH
Primova X.A, Vaydullayeva M.F
Abstract
This paper argues that advances in fuzzy reasoning systems in healthcare arecritical to navigating the complexities of patient data, requiring innovative methodologies thatcombine the interpretive capabilities of artificial intelligence and robustly address inherentuncertainty. Healthcare systems face the challenge of managing the uncertainty inherent inpatient data, which requires sophisticated decision-making tools such as fuzzy fuzzy reasoningsystems (FTS) to effectively navigate the uncertainties. Recognizing the complexity of healthcarescenarios, advances in FTS interpretation are critical beyond traditional methods.
noaniq fikrlash tizimlari, SI-sun’iy intellekt, Gauss tegishlilik funksiyalari, Fuzzy C-means clustering –FCM, noravshan, tegishlilik funksiyasi, noravshan fikrlash tizimlari
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