BUILDING A FUZZY REGRESSION HYBRID MODEL

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Eurasian Journal of Academic Research
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Выпуск: Том 3 № 8 : Евразийский журнал академических исследований
Раздел: Статьи
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Associate Professor of Tashkent University of Information Technology named after Muhammad al-Khwarizmi
info@in-academy.uz
Third year student of Tashkent University of Information Technology named after Muhammad al-Khwarizmi
info@in-academy.uz
First year student of Tashkent University of Information Technology named after Muhammad al-Khwarizmi
info@in-academy.uz

Аннотация:

The integration of fuzzy logic and regression in the novel Fuzzy Regression Hybrid Model is presented in this article. This innovative framework addresses uncertainty and variability in data, enhancing predictive accuracy. Through empirical case studies, its efficacy is demonstrated across diverse domains, showcasing its potential for precise modeling and decision-making in complex and dynamic environments. The Fuzzy Regression Hybrid Model emerges as a valuable tool for tackling real-world challenges.

Article Details

Как цитировать:

Egamberdiev , N. ., Berdiev, M. ., & Xafizadinov, U. . (2023). BUILDING A FUZZY REGRESSION HYBRID MODEL. Евразийский журнал академических исследований, 3(8), 81–90. извлечено от https://in-academy.uz/index.php/ejar/article/view/19676

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