Oscar Castillo

Prof. Oscar Castillo is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Prof. Castillo serves as Research Director of Computer Science and head of the research group on fuzzy logic and genetic algorithms, and is President of HAFSA (Hispanic American Fuzzy Systems Association) and Vice-President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Vice-Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE).
Ebooks
Type-3 Fuzzy Logic in Intelligent Control
Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
Modern Adaptive Fuzzy Control Systems
Book 421
Type-2 Fuzzy Logic in Intelligent Control Applications
Book 272
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
Type-2 Fuzzy Granular Models
Type-2 Fuzzy Logic: Theory and Applications
Book 223
Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic
Book 407
Soft Computing and Fractal Theory for Intelligent Manufacturing
Book 117
Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
Stabilization of Infinite Dimensional Systems
Book 355
New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic
Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Modelling, Simulation and Control of Non-linear Dynamical Systems: An Intelligent Approach Using Soft Computing and Fractal Theory
Interval Type-3 Fuzzy Systems: Theory and Design
Book 418
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis
Soft Computing for Control of Non-Linear Dynamical Systems
Book 63
Mycorrhiza Optimization Algorithm
Type-3 Fuzzy Logic and Fractal Theory for Medical Diagnosis
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks
Neural Networks and Learning Algorithms in MATLAB
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
Type-3 Fuzzy Logic in Time Series Prediction
Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks
Recent Advances in Interval Type-2 Fuzzy Systems
Book 1
Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers
A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
Type-2 Fuzzy Logic in Control of Nonsmooth Systems: Theoretical Concepts and Applications
Book 373
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic
Chemical Optimization Algorithm for Fuzzy Controller Design
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic