Tuning fuzzy logic controllers for energy efficiency consumption in buildings. - Rafael Alcalá; Jorge Casillas; Antonio González 005 (EUSFLAT-ESTYLF Joint Conf., 1999)

Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (EUSFLAT Conf., 2001)

Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (J. Intell. Fuzzy Syst., 2001)

Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (IBERAMIA, 2002)

Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. - Rafael Alcalá; Oscar Cordón; Francisco Herrera; Igor Zwir (ICEIS, 2002)

Hybridizing Hierarchical and Weighted Linguistic Rules. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera; Igor Zwir (SAC, 2002)

Genetic learning of accurate TS models based on local fuzzy prototyping. - Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas; Oscar Cordón; Francisco Herrera (EUSFLAT Conf., 2003)

Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. - Rafael Alcalá; Oscar Cordón; Francisco Herrera (Modelling with Words, 2003)

Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. - Rafael Alcalá; José Manuel Benítez 001; Jorge Casillas; Oscar Cordón; Raúl Pérez (Appl. Intell., 2003)

Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (Integr. Comput. Aided Eng., 2003)

Linguistic modeling with hierarchical systems of weighted linguistic rules. - Rafael Alcalá; José Ramón Cano; Oscar Cordón; Francisco Herrera; Pedro Villar; Igor Zwir (Int. J. Approx. Reason., 2003)

Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation. - Rafael Alcalá; Francisco Herrera (FUZZ-IEEE, 2004)

Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. - Rafael Alcalá; Jesús Alcalá-Fdez; Francisco Herrera; José Otero (FUZZ-IEEE, 2005)

A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Antonio González 005; Francisco Herrera (Eng. Appl. Artif. Intell., 2005)

Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. - Rafael Alcalá; Jesús Alcalá-Fdez; Francisco José Berlanga; María José Gacto; Francisco Herrera (IEA/AIE, 2006)

Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. - Rafael Alcalá; Jesús Alcalá-Fdez; Francisco José Berlanga; María José Gacto; Francisco Herrera (MDAI, 2006)

Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. - Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas; Oscar Cordón; Francisco Herrera (Soft Comput., 2006)

A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. - Rafael Alcalá; Jesús Alcalá-Fdez; María José Gacto; Francisco Herrera (FUZZ-IEEE, 2007)

Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. - Rafael Alcalá; Jesús Alcalá-Fdez; María José Gacto; Francisco Herrera (FUZZ-IEEE, 2007)

Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. - Rafael Alcalá; Jesús Alcalá-Fdez; Francisco Herrera; José Otero (Int. J. Approx. Reason., 2007)

Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. - Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas; Oscar Cordón; Francisco Herrera (Int. J. Intell. Syst., 2007)

A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. - Rafael Alcalá; María José Gacto; Francisco Herrera; Jesús Alcalá-Fdez (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007)

Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation. - Rafael Alcalá; Jesús Alcalá-Fdez; María José Gacto; Francisco Herrera (Soft Comput., 2007)

A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection. - Rafael Alcalá; Jesús Alcalá-Fdez; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2007)

Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section. - Oscar Cordón; Rafael Alcalá; Jesús Alcalá-Fdez; Ignacio Rojas (IEEE Trans. Fuzzy Syst., 2007)

Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. - Pietro Ducange; Rafael Alcalá; Francisco Herrera; Beatrice Lazzerini; Francesco Marcelloni (HAIS, 2008)

On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. - Rafael Alcalá; Jesús Alcalá-Fdez; María José Gacto; Francisco Herrera (Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008)

A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. - María José Gacto; Rafael Alcalá; Francisco Herrera (IFSA/EUSFLAT Conf., 2009)

Distributed Genetic Tuning of Fuzzy Rule-Based Systems. - Ignacio Robles; Rafael Alcalá; José Manuel Benítez 001; Francisco Herrera (IFSA/EUSFLAT Conf., 2009)

Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection. - Rafael Alcalá; Yusuke Nojima; Francisco Herrera; Hisao Ishibuchi (FUZZ-IEEE, 2009)

Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. - María José Gacto; Rafael Alcalá; Francisco Herrera (ISDA, 2009)

Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. - Rafael Alcalá; Jesús Alcalá-Fdez; María José Gacto; Francisco Herrera (Appl. Intell., 2009)

Special issue on genetic fuzzy systems: new advances. - Rafael Alcalá; Yusuke Nojima (Evol. Intell., 2009)

Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. - Ignacio Robles; Rafael Alcalá; José Manuel Benítez 001; Francisco Herrera (Evol. Intell., 2009)

Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. - Jesús Alcalá-Fdez; Rafael Alcalá; María José Gacto; Francisco Herrera (Fuzzy Sets Syst., 2009)

Learning weighted linguistic rules to control an autonomous robot. - Manuel Mucientes; Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas (Int. J. Intell. Syst., 2009)

Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. - María José Gacto; Rafael Alcalá; Francisco Herrera (Soft Comput., 2009)

A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. - Rafael Alcalá; Pietro Ducange; Francisco Herrera; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2009)

Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. - Francisco Chávez de la O; Francisco Fernández 001; Jesús Alcalá-Fdez; Rafael Alcalá; Francisco Herrera; Gustavo Olague (FUZZ-IEEE, 2010)

A fuzzy associative classification system with genetic rule selection for high-dimensional problems. - Jesús Alcalá-Fdez; Rafael Alcalá; Francisco Herrera (GEFS, 2010)

Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. - María José Gacto; Rafael Alcalá; Francisco Herrera (IEA/AIE (2), 2010)

A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. - Manuel Mucientes; Jesús Alcalá-Fdez; Rafael Alcalá; Jorge Casillas (Expert Syst. Appl., 2010)

Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. - María José Gacto; Rafael Alcalá; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2010)

On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. - Ignacio Robles; Rafael Alcalá; José Manuel Benítez 001; Francisco Herrera (Parallel and Distributed Computational Intelligence, 2010)

Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. - Francisco Fernández 001; Francisco Chávez de la O; Rafael Alcalá; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2011)

Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. - Francisco Chávez de la O; Francisco Fernández 001; Rafael Alcalá; Jesús Alcalá-Fdez; Francisco Herrera (FUZZ-IEEE, 2011)

Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system. - María José Gacto; Rafael Alcalá; Francisco Herrera (GEFS, 2011)

A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. - María José Gacto; Rafael Alcalá; Francisco Herrera (WILF, 2011)

Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. - María José Gacto; Rafael Alcalá; Francisco Herrera (Inf. Sci., 2011)

Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. - Rafael Alcalá; Yusuke Nojima; Francisco Herrera; Hisao Ishibuchi (Soft Comput., 2011)

Special issue on evolutionary fuzzy systems. - Yusuke Nojima; Rafael Alcalá; Hisao Ishibuchi; Francisco Herrera (Soft Comput., 2011)

A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning. - Jesús Alcalá-Fdez; Rafael Alcalá; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2011)

A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. - Rafael Alcalá; María José Gacto; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2011)

A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers. - Bruno Giglio; Francesco Marcelloni; Michela Fazzolari; Rafael Alcalá; Francisco Herrera (FUZZ-IEEE, 2012)

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. - Francisco Chávez de la O; Francisco Fernández 001; Rafael Alcalá; Jesús Alcalá-Fdez; Gustavo Olague; Francisco Herrera (Appl. Intell., 2012)

A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems. - María José Gacto; Rafael Alcalá; Francisco Herrera (Appl. Intell., 2012)

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. - Francisco Chávez de la O; Francisco Fernández 001; María José Gacto; Rafael Alcalá (Int. J. Comput. Intell. Syst., 2012)

Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. - María José Gacto; Marta Galende; Rafael Alcalá; Francisco Herrera (FUZZ-IEEE, 2013)

Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. - Michela Fazzolari; Rafael Alcalá; Yusuke Nojima; Hisao Ishibuchi; Francisco Herrera (GEFS, 2013)

Special Issue on "Evolutionary Fuzzy Systems" EFSs. - Rafael Alcalá; Yusuke Nojima; Hisao Ishibuchi; Francisco Herrera (Knowl. Based Syst., 2013)

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. - Michela Fazzolari; Bruno Giglio; Rafael Alcalá; Francesco Marcelloni; Francisco Herrera (Knowl. Based Syst., 2013)

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. - Michela Fazzolari; Rafael Alcalá; Yusuke Nojima; Hisao Ishibuchi; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2013)

A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. - Michela Fazzolari; Rafael Alcalá; Francisco Herrera (Appl. Soft Comput., 2014)

METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems. - María José Gacto; Marta Galende; Rafael Alcalá; Francisco Herrera (Inf. Sci., 2014)

Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation. - Marta Galende; María José Gacto; Gregorio I. Sainz; Rafael Alcalá (Inf. Sci., 2014)

Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. - Jesús Alcalá-Fdez; Rafael Alcalá; Sergio González; Yusuke Nojima; Salvador García 001 (IEEE Trans. Fuzzy Syst., 2017)

Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). - Rafael Alcalá; María José Gacto; Jesús Alcalá-Fdez (WIREs Data Mining Knowl. Discov., 2018)

Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans. - Augusto Anguita-Ruiz; Alberto Segura-Delgado; Rafael Alcalá; Concepción Maria Aguilera; Jesús Alcalá Fernández (IWBBIO (2), 2019)

Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. - María José Gacto; José Manuel Soto-Hidalgo; Jesús Alcalá-Fdez; Rafael Alcalá (IEEE Access, 2019)

eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. - Augusto Anguita-Ruiz; Alberto Segura-Delgado; Rafael Alcalá; Concepción Maria Aguilera; Jesús Alcalá-Fdez (PLoS Comput. Biol., 2020)

Temporal association rule mining: An overview considering the time variable as an integral or implied component. - Alberto Segura-Delgado; María José Gacto; Rafael Alcalá; Jesús Alcalá-Fdez (WIREs Data Mining Knowl. Discov., 2020)

Meta-Fuzzy Items for Fuzzy Association Rules. - Carmen Biedma-Rdguez; María José Gacto; Rafael Alcalá; Jesús Alcalá-Fdez (FUZZ-IEEE, 2021)

Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity. - Álvaro Torres-Martos; Augusto Anguita-Ruiz; Mireia Bustos-Aibar; Sofia Cámara-Sánchez; Rafael Alcalá; Concepción Maria Aguilera; Jesús Alcalá-Fdez (IWBBIO (2), 2022)

Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. - Alberto Segura-Delgado; Augusto Anguita-Ruiz; Rafael Alcalá; Jesús Alcalá-Fdez (Expert Syst. Appl., 2022)

Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. - Carmen Biedma-Rdguez; María José Gacto; Augusto Anguita-Ruiz; Jesús Alcalá-Fdez; Rafael Alcalá (Int. J. Fuzzy Syst., 2022)

Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. - Carmen Biedma-Rdguez; María José Gacto; Augusto Anguita-Ruiz; Rafael Alcalá; Concepción Maria Aguilera; Jesús Alcalá-Fdez (Fuzzy Sets Syst., 2023)

Enhancing soft computing techniques to actively address imbalanced regression problems. - María Arteaga; María José Gacto; Marta Galende; Jesús Alcalá-Fdez; Rafael Alcalá (Expert Syst. Appl., 2023)

Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity. - María Arteaga; Álvaro Torres-Martos; Augusto Anguita-Ruiz; Jesús Alcalá-Fdez; Rafael Alcalá; María José Gacto (EXPLIMED@ECAI, 2024)

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. - Álvaro Torres-Martos; Augusto Anguita-Ruiz; Mireia Bustos-Aibar; Alberto Ramírez-Mena; María Arteaga; Gloria Bueno; Rosaura Leis; Concepción Maria Aguilera; Rafael Alcalá; Jesús Alcalá-Fdez (Artif. Intell. Medicine, 2024)