Аннотация
This article introduces a novel Fuzzy Regression Hybrid Algorithm, combining fuzzy logic and regression techniques to enhance predictive modeling. The algorithm adeptly handles uncertainty and non-linearity, offering a robust solution for complex data relationships. Through empirical analysis, the algorithm's effectiveness is demonstrated across various domains, showcasing its potential for accurate predictions and informed decision-making. The Fuzzy Regression Hybrid Algorithm emerges as a valuable tool for tackling real-world challenges and advancing the field of data-driven modeling.
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