Publicaciones
Some relationships between fuzzy and random set-based classifiers and models,
, International Journal of Approximate Reasoning, Volume 29, Number 2, p.175 - 213, (2002)
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques,
, Applied Intelligence, Jan, Volume 10, Number 1, p.5–24, (1999)
Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?,
, Knowledge-Based Systems, Volume 54, p.3 - 21, (2013)
MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Ander the iterative rule Learning Approach,
, International Journal of Intelligent Systems, Volume 14, p.1123-1153, (1999)
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas,
, Revista Iberoamericana de Inteligencia Artificial, Volume 50, p.56-61, (1998)
Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules,
, International Journal of Approximate Reasoning, Volume 32, Number 2-3, p.187-215, (2003)
Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modeling,
, IEEE Transactions on Fuzzy Systems, Volume 13, Number 1, p.13-29, (2005)
Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods,
, International Journal of Intelligent Systems, Volume 13, Number 10/11, p.1025-1053, (1998)
Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process,
, Information Sciences, Volume 136, p.135-157, (2001)
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems,
, Information Sciences, Volume 136, Number 1, p.135 - 157, (2001)
Evolutionary Fuzzy Sistems for Explainable Artificial Intelligence: Why, When, What for, and Where to ?,
, IEEE Computational Intelligence, Volume 1, Number 14, p.69-81, (2019)
08610271.pdf (1.09 MB)

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA,
, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 10, Volume 22, p.643-675, (2014)
Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems,
, Mathware & Soft Computing, Volume 5, p.321-332, (1999)
Analyzing the Reasoning Mechanism in Fuzzy Rule-Based Classification Systems,
, Mathware & Soft Computing, Volume 5, p.321-332, (1998)
A proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems,
, International Journal of Approximate Reasoning, Volume 20, p.21-45, (1999)
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure,
, Journal of Intelligent and Fuzzy Systems, Volume 12, Number 3-4, p.235–242, (2002)
A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-based Multiclassifiers Revista: IEEE Transactions on Fuzzy Systems,
, IEEE Transactions on Fuzzy Systems, 01, Volume 21, Number 5, p.950-965, (2013)
Utilización de Algoritmos Genéticos Multiobjetivos para la Selección de Características y Diseño de la Base de Conocimiento de un Sistema de Clasificación Basado en Reglas Difusas,
, Congreso Español sobre Tecnologías y Lógica Fuzzy, 01, León (España), (2002)
Sistema de Clasificación con Reglas Difusas Utilizando Algoritmos Genéticos,
, VI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'96), Oviedo, (1996)
Selecting Fuzzy-Ruled Based Classification System with Specific Reasoning Methods Using Genetical Algorithms,
, Joint 9th IFSA World congres and 20th Nafips International, 07, Praga, (2001)
On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles,
, 2008 Eighth International Conference on Hybrid Intelligent Systems, Sep., p.549-554, (2008)
Nuevos métodos de razonamiento en sistemas de clasificación basados en reglas difusas,
, Congreso español sobre tecnologías y lógica fuzzy., Tarragona, (1997)
Métodos de razonamiento aproximado basados en el concepto de mayoría difusa para sistemas de clasificación,
, Congreso español sobre tecnología y lógica fuzzy, 09, Pamplona (España), (1998)
Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems,
, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), March, p.75-80, (2010)
Genetic tuning of fuzzy rule-based systems integrating linguistic hedges,
, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), July, Volume 3, p.1570-1574 vol.3, (2001)
Estimación de la Longitud de Línea de Baja Tensión Mediante Técnicas Evolutivas de Análisis de Datos,
, 8ª Reunión Nacional de Grupos de Investigación en Ingeniería Eléctrica, (1998)
Computing the spanish medium electrical line maintenance costs by means of evolution-based learning processes,
, Methodology and Tools in Knowledge-Based Systems, Berlin, Heidelberg, p.478–486, (1998)
An evolutionary paradigm for designing fuzzy rule-based systems from examples,
, 10, p.139 - 144, (1997)
A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems,
, 08, Volume 3, p.1253 - 1258 vol.3, (2001)
A GRASP Algorithm for Clustering,
, Proceedings of the 8th Ibero-American Conference on Artifical Intelligence, Seville, Spain, November 12-15, 2002,, p.214–223, (2002)
A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers,
, 2008 3rd International Workshop on Genetic and Evolving Systems, March, p.11-16, (2008)
Tuning fuzzy partitions or assigning weights to fuzzy rules: which is better?,
, Accuracy Improvements in Linguistic Fuzzy Modeling, Berlin, Heidelberg, p.366–385, (2003)
GA-P Based Search of Structures and Parameters of Dynamital Process Models,
, Advances in Soft Computing, p.371-380, (2003)
Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling,
, Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, Boston, MA, p.189–221, (2000)
A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems,
, Interpretability Issues in Fuzzy Modeling, Berlin, Heidelberg, p.79–99, (2003)
A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems,
, Interpretability Issues in Fuzzy Modeling, Berlin, Heidelberg, p.79–99, (2003)
- A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems,
, Intelligent Systems for Information Processing, Amsterdam, p.315 - 326, (2003)