2023 - Research.com Computer Science in Mexico Leader Award
2022 - Research.com Computer Science in Mexico Leader Award
Her primary areas of study are Fuzzy logic, Artificial intelligence, Fuzzy set operations, Fuzzy control system and Neuro-fuzzy. Her research integrates issues of Intelligent control, Mathematical optimization and Control theory in her study of Fuzzy logic. The various areas that Patricia Melin examines in her Artificial intelligence study include Machine learning and Pattern recognition.
Her Fuzzy set operations study combines topics from a wide range of disciplines, such as Fuzzy number and Fuzzy classification. Her research in Fuzzy number intersects with topics in Algorithm and Membership function. In her research on the topic of Fuzzy control system, Travelling salesman problem is strongly related with Ant colony optimization algorithms.
Fuzzy logic, Artificial intelligence, Artificial neural network, Fuzzy control system and Neuro-fuzzy are her primary areas of study. Her research investigates the link between Fuzzy logic and topics such as Control theory that cross with problems in Mobile robot. Patricia Melin combines subjects such as Machine learning and Pattern recognition with her study of Artificial intelligence.
The concepts of her Artificial neural network study are interwoven with issues in Biometrics, Genetic algorithm, Series and Time series. Her biological study spans a wide range of topics, including Data mining, Algorithm, Mathematical optimization and Interval. Her research is interdisciplinary, bridging the disciplines of Intelligent control and Neuro-fuzzy.
Her primary areas of investigation include Fuzzy logic, Artificial intelligence, Fuzzy control system, Artificial neural network and Type. Her Fuzzy logic research incorporates themes from Data mining, Interval, Adaptation, Benchmark and Algorithm. Her Neuro-fuzzy study in the realm of Artificial intelligence interacts with subjects such as Hybrid model.
Patricia Melin has included themes like Genetic algorithm, Mathematical optimization and Fuzzy set in her Fuzzy control system study. Her Artificial neural network research is multidisciplinary, incorporating elements of Particle swarm optimization, Computational intelligence, Series and Time series. Her biological study deals with issues like Sugeno integral, which deal with fields such as Algebra.
The scientist’s investigation covers issues in Fuzzy logic, Artificial neural network, Artificial intelligence, Fuzzy control system and Interval. A large part of her Fuzzy logic studies is devoted to Fuzzy set. In general Artificial neural network study, her work on Modular neural network and Self-organizing map often relates to the realm of Coronavirus and Spatial evolution, thereby connecting several areas of interest.
Her work carried out in the field of Artificial intelligence brings together such families of science as Type and Pattern recognition. Her Fuzzy control system research also works with subjects such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Type-2 Fuzzy Logic: Theory and Applications
O. Castillo;P. Melin;J. Kacprzyk;W. Pedrycz.
Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation
M.A. Porta Garcia;Oscar Montiel;Oscar Castillo;Roberto Sepúlveda.
soft computing (2009)
A review on the design and optimization of interval type-2 fuzzy controllers
Oscar Castillo;Patricia Melin.
soft computing (2012)
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Juan R. Castro;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz.
Information Sciences (2009)
Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot
Oscar Castillo;Ricardo Martínez-Marroquín;Patricia Melin;Fevrier Valdez.
Information Sciences (2012)
Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic
Roberto Sepúlveda;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz.
Information Sciences (2007)
An Interval Type-2 Fuzzy Logic Toolbox for Control Applications
J.R. Castro;O. Castillo;P. Melin.
ieee international conference on fuzzy systems (2007)
Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic
Patricia Melin;Claudia I. Gonzalez;Juan R. Castro;Olivia Mendoza.
IEEE Transactions on Fuzzy Systems (2014)
Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic
Patricia Melin;Frumen Olivas;Oscar Castillo;Fevrier Valdez.
Expert Systems With Applications (2013)
A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition
Patricia Melin;Oscar Castillo.
Applied Soft Computing (2014)
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