Patricia Ochoa
Tecnológico Nacional de México, Instituto Tecnológico de Tijuana
Papers
4
Total Citations
77
H-Index
4
About
Patricia Ochoa is a leading researcher in computational intelligence, specializing in the optimal design of fuzzy logic systems and metaheuristic optimization algorithms. Her work bridges advanced fuzzy theory and real-world control applications, with a particular focus on interval type-3 and generalized type-2 fuzzy systems. Ochoa pioneered the use of vertical cuts for parameterizing interval type-3 membership functions, integrating them with differential evolution to enhance the performance of fuzzy controllers for unicycle mobile robots—a contribution that has already garnered 33 citations since 2022. She has also developed novel hybrid approaches, such as combining Chicken Search Optimization with fuzzy logic controllers and dynamically adapting parameters in differential evolution and harmony search algorithms. Her research consistently demonstrates how higher-order fuzzy systems can improve control precision and adaptability in complex, uncertain environments. With over 77 citations across her most-cited works, Ochoa’s publications are shaping the next generation of intelligent control systems. Her 2023 work on generalized type-2 fuzzy differential evolution for Sugeno controllers further cements her reputation as a pioneer in advancing fuzzy optimization for autonomous systems.
Research Focus
Key Achievements
Top Papers
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