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Building a Fuzzy regression hybrid model

Nodir EgamberdievAssociate Professor of Tashkent University of Information Technology named after Muhammad al-KhwarizmiMaruf BerdievThird year student of Tashkent University of Information Technology named after Muhammad al-KhwarizmiUsnatdin XafizadinovFirst year student of Tashkent University of Information Technology named after Muhammad al-Khwarizmi

2023en

Ochiq kirishOlmos

Litsenziya: cc-by

ABI

Annotatsiya

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.

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DOI: 10.70413/ejar-v03-i08-s4215

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