Илғор иқтисодиёт ва педагогик технологиялар Том 3 № 4 (2026) · с. 343-350
A NEURO-FUZZY ECONOMETRIC MODEL FOR ASSESSING THE INNOVATION ACTIVITIES OF INDUSTRIAL ENTERPRISES IN THE CASE OF KASHKADARYA REGION
Avazova, Nafisa, Авазова, Нафиса, Avazova, Nafisa
Аннотация
The article proposes a neuro-fuzzy econometric model for assessing the innovation activity level of industrial enterprises in Qashqadaryo region. The model combines fuzzy logic apparatus with artificial neural network methodology, allowing quantitative and qualitative indicators of enterprise innovation activity to be aggregated into a single integral index. The proposed approach accounts for uncertainty and nonlinear dependencies better than traditional regression models.
innovation activityneuro-fuzzy modelindustrial enterprisesintegral indexQashqadaryo regionинновационная активностьнейро-нечеткая модельпромышленные предприятияинтегральный индексКашкадарьинская область
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