RAQAMLI IQTISODIYOT SHAROITIDA QAROR QABUL QILISHDA GIBRID ONTOLOGIK-GENERATIV MODEL (HOG-M) ASOSIDAGI INTELLEKTUAL TAHLIL TIZIMI
DOI:
https://doi.org/10.65164/xyah1e96Ключевые слова:
sun'iy intellekt, iqtisodiyot, gibrid model, ontologiya, generativ AI, prognozlash, qaror qabul qilish, HOG-M, RAG, moliyaviy tahlil, raqamli iqtisodiyot.Аннотация
Ushbu tezisda iqtisodiy tahlil va qaror qabul qilish jarayonlarini intellektuallashtirish uchun mo'ljallangan HOG-M (Hybrid Ontological-Generative Model) tizimining arxitekturasi va miqdoriy baholash natijalari taqdim etiladi. HOG-M iqtisodiyot domen ontologiyasini (OWL 2 DL), vektorli semantik qidiruv mexanizmini (FAISS HNSW) va generativ til modelini (fine-tuned LLM) Reciprocal Rank Fusion (RRF) algoritmi asosida integratsiya qiladi. Tizim O'zbekiston moliya, savdo, ishlab chiqarish va qishloq xo'jaligi sohalariga ixtisoslashtirilgan bo'lib, 2023–2024 yillar ma’lumotlari asosida baholangan. Tajriba natijalari ko'rsatadiki, HOG-M iqtisodiy prognozlashda RMSE ko'rsatkichini 42,3% ga yaxshiladi, ROI ni o'rtacha 26,8% oshirdi va moliyaviy tahlil ish vaqtini 89,2% ga qisqartirdi.
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