This paper examines the development of a multifactorial system of indicators for assessing and improving a personʼs standard of living based on a neural network classification model. The study developed an integrated indicator system combining demographic, economic, social, and infrastructure indicators. Furthermore, artificial neural networks and fuzzy logic elements were combined to account for uncertainty, systematicity, and complex nonlinear relationships between indicators.
| Mualliflar | Mirzayev Shoxrux Normurod oʻgʻli |
|---|---|
| Jurnal | Marketing |
| Nashr sanasi | 2025-11-29 |
| Son | 11 |
| Til | O‘zbek |
| DOI | 10.67668/mj/2025iss11/581 |
DOI: 10.67668/mj/2025iss11/581 · Maqolaning asl sahifasi
standard of living, multifactor indicators, fuzzy classification, fuzzy clustering, fuzzy C -means, neuro -fuzzy classification, neuro -fuzzy model, уровень жизни, многофакторные показатели, нечеткая классификация, нечеткая кластеризация, нечеткие C -средние, нейро -нечеткая классификация, нейро -нечеткая модель, turmush darajasi, koʻp omilli indikatorlar, fuzzy toifalash, fuzzy klasterlash, Fuzzy C -Means, neyro -ravshan klassifikatsiya, neyro -fuzzy model
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