Fuzzy System

Fuzzy systems are computational models that use fuzzy logic to represent and reason with imprecise or uncertain information, aiming to mimic human-like decision-making. Current research emphasizes improving the accuracy and efficiency of fuzzy systems through optimization techniques like gradient descent and evolutionary algorithms, often within specific model architectures such as Takagi-Sugeno-Kang (TSK) systems and Mamdani systems. These advancements are driving applications across diverse fields, including medical diagnosis (e.g., brain tumor detection), engineering control (e.g., robotic manipulation), and data analysis (e.g., stock market prediction), by providing robust and interpretable solutions to complex problems.