TIJORAT BANKLARIDA KREDIT RISKLARINI BAHOLASH VA MUAMMOLI KREDITLARNI BARVAQT ANIQLASHNING SUN’IY INTELLEKTGA ASOSLANGAN MENEJMENT MODELINI TAKOMILLASHTIRISHNING NAZARIY ASOSLARI
DOI:
https://doi.org/10.5281/zenodo.22712755Abstract
Maqolada kredit risklari menejmenti nazariyasining evolyutsiyasi, sun’iy intellekt
texnologiyalarining bank menejmentida qo‘llanilishi, Machine Learning, Deep Learning, Big Data Analytics,
Explainable AI va Early Warning System konsepsiyalarining nazariy asoslari kompleks tahlil qilingan.
Shuningdek, kredit risklarini baholashning an’anaviy, statistik va intellektual yondashuvlari qiyosiy baholanib,
ularning afzalliklari va cheklovlari yoritilgan. Tadqiqot natijasida sun’iy intellekt texnologiyalariga asoslangan
integratsiyalashgan kredit risklari menejmenti konsepsiyasi ishlab chiqilib, uning tijorat banklarida qo‘llanilishining
nazariy ustunliklari asoslab berilgan
Keywords
kredit risklari, muammoli kreditlar, sun’iy intellekt, bank menejmenti, AI-skoring, Big Data, Machine Learning, Deep Learning, Explainable AI, Early Warning System, raqamli bankReferences
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