A Hybrid Approach with Modular Neural Networks and Fuzzy Logic for Time Series Prediction. - Omar Blanchet; Martha Ramirez; Maribel Gutierrez; Jassiny Quintero; Alejandra Mancilla; Patricia Melin (IC-AI, 2006)

Forecasting Economic Time Series Using Modular Neural Networks and the Fuzzy Sugeno Integral as Response Integration Method. - Patricia Melin; Jérica Urías; Jassiny Quintero; Martha Ramirez; Omar Blanchet (IJCNN, 2006)

A New Perspective for Multivariate Time Series Decision Making through a Nested Computational Approach Using Type-2 Fuzzy Integration. - Martha Ramirez; Patricia Melin (Axioms, 2023)

A New Interval Type-2 Fuzzy Aggregation Approach for Combining Multiple Neural Networks in Clustering and Prediction of Time Series. - Martha Ramirez; Patricia Melin (Int. J. Fuzzy Syst., 2023)

Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making. - Martha Ramirez; Patricia Melin; Oscar Castillo 001 (Axioms, 2023)

Modular Perspective for Population and Gross National Income Time Series Prediction Using a Neural Network Model: A Case Study of OECD Member Countries. - Martha Ramirez; Patricia Melin (New Directions on Hybrid Intelligent Systems, 2024)

Classification of Consumption Level in Developing Countries for Time Series Prediction Using a Hierarchical Nested Artificial Neural Network Method. - Martha Ramirez; Patricia Melin (New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024)

A New Hybrid Approach for Clustering, Classification, and Prediction of World Development Indicators Combining General Type-2 Fuzzy Systems and Neural Networks. - Martha Ramirez; Patricia Melin; Oscar Castillo 001 (Axioms, 2024)