This study evaluates the nonlinear relationship between living standards and economic growth in the Qashqadaryo region during 2010–2024 using the ANFIS (Adaptive Neuro-Fuzzy Inference System) model. Based on semi-synthetic data close to real statistics, key indicators include income index, infrastructure, and digital infrastructure. The ANFIS model demonstrated high accuracy (R² = 0.977), revealing a strong synergy between income and digitalization, with 3D surface analysis highlighting digital infrastructure as a key growth driver. The results provide practical guidance for regional development strategies
| Mualliflar | Astanayev , Kulmakhammat, Астанаев , Кульмахаммат, Astanayev , Qulmaxammat |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashr sanasi | 2026-06-03 |
| Jild | 3 |
| Son | 3 |
| Betlar | 323-327 |
| Til | O‘zbek |
| DOI | 10.60078/3060-4842-2026-vol3-iss3-pp323-327 |
DOI: 10.60078/3060-4842-2026-vol3-iss3-pp323-327 · Maqolaning asl sahifasi
ANFIS, living standards, economic growth, fuzzy logic, nonlinear modeling, digital infrastructure, ANFIS, уровень жизни, экономический рост, нечеткая логика, нелинейное моделирование, цифровая инфраструктура, ANFIS, turmush darajasi, iqtisodiy o‘sish, fuzzy mantiq, nolinear model, raqamli infratuzilma
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