Construction of Fuzzy Fogic Mamdani Model and Tuning of its Parameters Using Modern Evolutionary Algorithms

This article delves into the construction of a Fuzzy Logic Mamdani Model, enriched with modern evolutionary algorithms for parameter tuning. The synergy of fuzzy logic and evolutionary techniques enhances the model's adaptability and accuracy. Through empirical experiments, the effectiveness of this hybrid approach is demonstrated, showcasing improved performance in various domains. The study underscores the significance of evolutionary algorithms in optimizing fuzzy systems, offering a powerful methodology for refining and automating complex decision-making processes.