Francisco Herrera

Victoria López, Alberto Fernández, María José del Jesús, Francisco Herrera: A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowl.-Based Syst. 38: 85-104 (2013)

Alberto Fernández, Victoria López, Mikel Galar, María José del Jesús, Francisco Herrera: Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowl.-Based Syst. 42: 97-110 (2013)

José A. Sáez, Julián Luengo, Francisco Herrera: Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification. Pattern Recognition 46(1): 355-364 (2013)

Joaquín Derrac, Nele Verbiest, Salvador García, Chris Cornelis, Francisco Herrera: On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection. Soft Comput. 17(2): 223-238 (2013)

Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera: A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE T. Fuzzy Systems 21(1): 45-65 (2013)

Salvador García, Julián Luengo, José Antonio Sáez, Victoria López, Francisco Herrera: A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Trans. Knowl. Data Eng. 25(4): 734-750 (2013)

Lorna Uden, Francisco Herrera, Javier Bajo Pérez, Juan M. Corchado Rodríguez (Eds.): 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, KMO 2012, Salamanca, Spain, 11-13 July, 2012. Advances in Intelligent Systems and Computing 172, Springer 2013, isbn 978-3-642-30866-6

Daniel Torres-Salinas, Nicolas Robinson-Garcia, Evaristo Jiménez-Contreras, Francisco Herrera, Emilio Delgado López-Cózar: On the use of Biplot analysis for multivariate bibliometric and scientific indicators. CoRR abs/1302.0608 (2013)

María José Gacto, Rafael Alcalá, Francisco Herrera: A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems. Appl. Intell. 36(2): 330-347 (2012)

Francisco Chavez, F. Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Gustavo Olague, Francisco Herrera: Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Appl. Intell. 36(2): 407-423 (2012)

Victoria López, Alberto Fernández, Jose G. Moreno-Torres, Francisco Herrera: Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Syst. Appl. 39(7): 6585-6608 (2012)

Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera: Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97: 332-343 (2012)

Pedro Villar, Alberto Fernández, Ramón Alberto Carrasco, Francisco Herrera: Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20(3): 369-397 (2012)

Julián Luengo, Francisco Herrera: Shared domains of competence of approximate learning models using measures of separability of classes. Inf. Sci. 185(1): 43-65 (2012)

Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera: Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection. Inf. Sci. 186(1): 73-92 (2012)

Luis Martínez, Francisco Herrera: An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges. Inf. Sci. 207: 1-18 (2012)

Manolo J. Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera: SciMAT: A new science mapping analysis software tool. JASIST 63(8): 1609-1630 (2012)

Julián Luengo, Salvador García, Francisco Herrera: On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowl. Inf. Syst. 32(1): 77-108 (2012)

Enislay Ramentol, Yaile Caballero, Rafael Bello, Francisco Herrera: SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. Knowl. Inf. Syst. 33(2): 245-265 (2012)

José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera: Special issue on "New Trends in Data Mining" NTDM. Knowl.-Based Syst. 25(1): 1-2 (2012)

Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera: Evolutionary-based selection of generalized instances for imbalanced classification. Knowl.-Based Syst. 25(1): 3-12 (2012)

Francisco Herrera, Cesar Analide: Editors' Preface. Progress in AI 1(1): 1 (2012)

Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera: Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 417-435 (2012)

Jose G. Moreno-Torres, Troy Raeder, Rocío Alaíz-Rodríguez, Nitesh V. Chawla, Francisco Herrera: A unifying view on dataset shift in classification. Pattern Recognition 45(1): 521-530 (2012)

Jose A. García, Rosa Rodriguez-Sánchez, J. Fdez-Valdivia, Daniel Torres-Salinas, Francisco Herrera: Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study. Scientometrics 93(3): 1081-1099 (2012)

Jesús Marín, Daniel Molina, Francisco Herrera: Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions. Soft Comput. 16(2): 331-351 (2012)

Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera: Variable mesh optimization for continuous optimization problems. Soft Comput. 16(3): 511-525 (2012)

Julián Luengo, José A. Sáez, Francisco Herrera: Missing data imputation for fuzzy rule-based classification systems. Soft Comput. 16(5): 863-881 (2012)

Rosa M. Rodriguez, Luis Martínez, Francisco Herrera: Hesitant Fuzzy Linguistic Term Sets for Decision Making. IEEE T. Fuzzy Systems 20(1): 109-119 (2012)

Humberto Bustince Sola, Miguel Pagola, Radko Mesiar, Eyke Hüllermeier, Francisco Herrera: Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons. IEEE T. Fuzzy Systems 20(3): 405-415 (2012)

Manolo J. Cobo, Antonio Gabriel López-Herrera, Francisco Herrera, Enrique Herrera-Viedma: A Note on the ITS Topic Evolution in the Period 2000-2009 at T-ITS. IEEE Transactions on Intelligent Transportation Systems 13(1): 413-420 (2012)

Jose G. Moreno-Torres, José A. Sáez, Francisco Herrera: Study on the Impact of Partition-Induced Dataset Shift on k -Fold Cross-Validation. IEEE Trans. Neural Netw. Learning Syst. 23(8): 1304-1312 (2012)

Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera: A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(1): 86-100 (2012)

Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera: A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(4): 463-484 (2012)

Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera: Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(5): 1383-1397 (2012)

Benjamin Lacroix, Daniel Molina, Francisco Herrera: Region based memetic algorithm with LS chaining. IEEE Congress on Evolutionary Computation 2012: 1-6

Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera: Optimising real parameters using the information of a mesh of solutions: VMO algorithm. IEEE Congress on Evolutionary Computation 2012: 1-7

Bruno Giglio, Francesco Marcelloni, Michela Fazzolari, Rafael Alcalá, Francisco Herrera: A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers. FUZZ-IEEE 2012: 1-8

José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera: A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. HAIS (2) 2012: 25-35

Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera: A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. HAIS (2) 2012: 176-187

Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera: Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) 2012: 188-199

Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera: Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. IBERAMIA 2012: 169-178

Victoria López, Alberto Fernández, María José del Jesús, Francisco Herrera: Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. ICPRAM (2) 2012: 98-107

Salvador García, Victoria López, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera: A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. ICPRAM (1) 2012: 211-216

Rosa M. Rodriguez, Luis Martínez, Francisco Herrera: Group Decision Making with Comparative Linguistic Terms. IPMU (1) 2012: 181-190

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe: Special issue on the trends in applied intelligence systems. Appl. Intell. 34(3): 329-330 (2011)

Salvador García, Joaquín Derrac, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera: Evolutionary selection of hyperrectangles in nested generalized exemplar learning. Appl. Soft Comput. 11(3): 3032-3045 (2011)

Josean Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera: A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position. Int. J. Approx. Reasoning 52(6): 751-766 (2011)

María José Gacto, Rafael Alcalá, Francisco Herrera: Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. Inf. Sci. 181(20): 4340-4360 (2011)

Manolo J. Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera: Science mapping software tools: Review, analysis, and cooperative study among tools. JASIST 62(7): 1382-1402 (2011)

Manolo J. Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera: An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. J. Informetrics 5(1): 146-166 (2011)

Francisco Herrera, Cristóbal J. Carmona, Pedro González, María José del Jesús: An overview on subgroup discovery: foundations and applications. Knowl. Inf. Syst. 29(3): 495-525 (2011)

Jesús Alcalá-Fdez, Francisco Herrera: Soft Computing Techniques in Data Mining. Multiple-Valued Logic and Soft Computing 17(2-3): 99-100 (2011)

Isaac Triguero, Salvador García, Francisco Herrera: Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognition 44(4): 901-916 (2011)

Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera: An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes. Pattern Recognition 44(8): 1761-1776 (2011)

Daniel Torres-Salinas, Jose G. Moreno-Torres, Emilio Delgado López-Cózar, Francisco Herrera: A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ²A index. Scientometrics 88(3): 771-786 (2011)

Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera: Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling. Soft Comput. 15(10): 1909-1936 (2011)

M. Lozano, Daniel Molina, Francisco Herrera: Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Comput. 15(11): 2085-2087 (2011)

Daniel Molina, Manuel Lozano, Ana M. Sánchez, Francisco Herrera: Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains. Soft Comput. 15(11): 2201-2220 (2011)

Yusuke Nojima, Rafael Alcalá, Hisao Ishibuchi, Francisco Herrera: Special issue on evolutionary fuzzy systems. Soft Comput. 15(12): 2299-2301 (2011)

Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi: Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. Soft Comput. 15(12): 2303-2318 (2011)

Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm and Evolutionary Computation 1(1): 3-18 (2011)

Rafael Alcalá, María José Gacto, Francisco Herrera: A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE T. Fuzzy Systems 19(4): 666-681 (2011)

Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera: A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning. IEEE T. Fuzzy Systems 19(5): 857-872 (2011)

Francisco Fernández, Francisco Chavez, Rafael Alcalá, Francisco Herrera: Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation 2011: 2571-2577

Francisco Chavez, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera: Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. FUZZ-IEEE 2011: 256-263

Pedro Villar, Alberto Fernández, Francisco Herrera: Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets. FUZZ-IEEE 2011: 1239-1246

José Antonio Sanz, Humberto Bustince Sola, Alberto Fernández, Francisco Herrera: On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees. FUZZ-IEEE 2011: 1247-1254

Alberto Fernández, Salvador García, Francisco Herrera: Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution. HAIS (1) 2011: 1-10

Isaac Triguero, Salvador García, Francisco Herrera: Enhancing IPADE Algorithm with a Different Individual Codification. HAIS (2) 2011: 262-270

José A. Sáez, Julián Luengo, Francisco Herrera: Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study. ISDA 2011: 1229-1234

Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera: A multi-objective evolutionary algorithm for mining quantitative association rules. ISDA 2011: 1397-1402

Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera: A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. IWANN (1) 2011: 174-182

Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García: A study of the scaling up capabilities of stratified prototype generation. NaBIC 2011: 297-302

María José Gacto, Rafael Alcalá, Francisco Herrera: A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. WILF 2011: 99-106

Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Ignacio J. Pérez, Manolo J. Cobo, S. Alonso, Francisco Herrera: Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. Recent Developments in the Ordered Weighted Averaging Operators 2011: 167-186

Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera: Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. Evolutionary Computation 18(1): 27-63 (2010)

Amilkar Puris, Rafael Bello, Francisco Herrera: Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP. Expert Syst. Appl. 37(7): 5443-5453 (2010)

Julián Luengo, Francisco Herrera: Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method. Fuzzy Sets and Systems 161(1): 3-19 (2010)

Alberto Fernández, María Calderón, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera: Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations. Fuzzy Sets and Systems 161(23): 3064-3080 (2010)

Jesús Alcalá-Fdez, Nicolò Flugy Papè, Andrea Bonarini, Francisco Herrera: Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundam. Inform. 98(1): 1-14 (2010)

Joaquín Derrac, Salvador García, Francisco Herrera: A Survey on Evolutionary Instance Selection and Generation. Int. J. of Applied Metaheuristic Computing 1(1): 60-92 (2010)

Antonio Gabriel López-Herrera, Manolo J. Cobo, Enrique Herrera-Viedma, Francisco Herrera: A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach. Int. J. Hybrid Intell. Syst. 7(1): 17-32 (2010)

Francisco Herrera, Francesco Marcelloni, Vincenzo Loia: Guest Editors' Introduction. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18(4) (2010)

Francisco José Berlanga, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera: GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 180(8): 1183-1200 (2010)

Alberto Fernández, María José del Jesús, Francisco Herrera: On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets. Inf. Sci. 180(8): 1268-1291 (2010)

Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera: Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power. Inf. Sci. 180(10): 2044-2064 (2010)

José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera: Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Inf. Sci. 180(19): 3674-3685 (2010)

Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera: A web based consensus support system for group decision making problems and incomplete preferences. Inf. Sci. 180(23): 4477-4495 (2010)

Sergio Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera: WoS query partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source-based partitioning approaches. JASIST 61(8): 1582-1597 (2010)

Francisco Javier Cabrerizo, Sergio Alonso, Enrique Herrera-Viedma, Francisco Herrera: q²-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core. J. Informetrics 4(1): 23-28 (2010)

Joaquín Derrac, Salvador García, Francisco Herrera: Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability. Memetic Computing 2(3): 183-199 (2010)

Julián Luengo, Salvador García, Francisco Herrera: A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method. Neural Networks 23(3): 406-418 (2010)

Joaquín Derrac, Salvador García, Francisco Herrera: IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule. Pattern Recognition 43(6): 2082-2105 (2010)

Sergio Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera: hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics 82(2): 391-400 (2010)

Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera: Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. IEEE Trans. Evolutionary Computation 14(6): 913-941 (2010)

María José Gacto, Rafael Alcalá, Francisco Herrera: Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE T. Fuzzy Systems 18(3): 515-531 (2010)

Cristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera: NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery. IEEE T. Fuzzy Systems 18(5): 958-970 (2010)

Isaac Triguero, Salvador García, Francisco Herrera: IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21(12): 1984-1990 (2010)

Pedro G. Espejo, Sebastián Ventura, Francisco Herrera: A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part C 40(2): 121-144 (2010)

Salvador García, José Ramón Cano, Francisco Herrera: A Review on Evolutionary Prototype Selection. Intelligent Systems for Automated Learning and Adaptation 2010: 92-113

Daniel Molina, Manuel Lozano, Francisco Herrera: MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8

Isaac Triguero, Salvador García, Francisco Herrera: A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. IEEE Congress on Evolutionary Computation 2010: 1-8

Francisco Chavez, Francisco Fernández, Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera, Gustavo Olague: Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. FUZZ-IEEE 2010: 1-8

Julián Luengo, Francisco Herrera: An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML. FUZZ-IEEE 2010: 1-8

José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera: A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets. FUZZ-IEEE 2010: 1-3

Joaquín Derrac, Salvador García, Francisco Herrera: IFS-CoCo in the Landscape Contest: Description and Results. ICPR Contests 2010: 56-65

María José Gacto, Rafael Alcalá, Francisco Herrera: 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. IEA/AIE (2) 2010: 228-238

Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera: A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. IEA/AIE (1) 2010: 601-610

Alberto Fernández, María José del Jesús, Francisco Herrera: Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. IPMU 2010: 89-98

Pedro Villar, Alberto Fernández, Francisco Herrera: A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. IPMU (1) 2010: 741-750

Jose G. Moreno-Torres, Francisco Herrera: A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction. ISDA 2010: 501-506

Victoria López, Alberto Fernández, Francisco Herrera: A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets. ISDA 2010: 676-681

Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera: On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. Parallel and Distributed Computational Intelligence 2010: 235-261

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6096, Springer 2010, isbn 978-3-642-13021-2

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6097, Springer 2010, isbn 978-3-642-13024-3

Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali (Eds.): Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6098, Springer 2010, isbn 978-3-642-13032-8

Aboul Ella Hassanien, Ajith Abraham, Francisco Herrera (Eds.): Foundations of Computational Intelligence - Volume 2: Approximate Reasoning. Studies in Computational Intelligence 202, Springer 2009, isbn 978-3-642-01532-8

Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera: Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1): 15-30 (2009)

Salvador García, Alberto Fernández, Francisco Herrera: Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. Appl. Soft Comput. 9(4): 1304-1314 (2009)

Salvador García, Francisco Herrera: Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. Evolutionary Computation 17(3): 275-306 (2009)

Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesús, Francisco Herrera: Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. 36(2): 1632-1644 (2009)

Julián Luengo, Salvador García, Francisco Herrera: A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests. Expert Syst. Appl. 36(4): 7798-7808 (2009)

Alberto Fernández, María José del Jesús, Francisco Herrera: On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets. Expert Syst. Appl. 36(6): 9805-9812 (2009)

Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera: Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. Evolutionary Intelligence 2(1-2): 5-19 (2009)

Francisco Herrera, Enrique Herrera-Viedma, Sergio Alonso, Francisco Chiclana: Computing with words and decision making. FO & DM 8(4): 323-324 (2009)

Francisco Herrera, Sergio Alonso, Francisco Chiclana, Enrique Herrera-Viedma: Computing with words in decision making: foundations, trends and prospects. FO & DM 8(4): 337-364 (2009)

Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto, Francisco Herrera: Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets and Systems 160(7): 905-921 (2009)

Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera: Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean queries in fuzzy ordinal linguistic information retrieval systems. Fuzzy Sets and Systems 160(15): 2192-2205 (2009)

Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera: A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization. J. Heuristics 15(6): 617-644 (2009)

Alberto Fernández, María José del Jesús, Francisco Herrera: Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets. Int. J. Approx. Reasoning 50(3): 561-577 (2009)

Fatos Xhafa, Francisco Herrera, Mario Köppen: Special issue: Data mining and hybrid intelligent systems. Int. J. Hybrid Intell. Syst. 6(2): 67 (2009)

Sergio Alonso, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma: Group decision making with incomplete fuzzy linguistic preference relations. Int. J. Intell. Syst. 24(2): 201-222 (2009)

Ana M. Sánchez, Manuel Lozano, Pedro Villar, Francisco Herrera: Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators. Int. J. Intell. Syst. 24(5): 540-567 (2009)

Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera: Individual and Social Strategies to Deal with Ignorance Situations in Multi-Person Decision Making. International Journal of Information Technology and Decision Making 8(2): 313-333 (2009)

Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera: Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. IJPRAI 23(8): 1527-1548 (2009)

Antonio Gabriel López-Herrera, Manolo J. Cobo, Enrique Herrera-Viedma, Francisco Herrera, Rafael Bailón-Moreno, Evaristo Jiménez-Contreras: Visualization and evolution of the scientific structure of fuzzy sets research in Spain. Inf. Res. 14(4) (2009)

Luis Martínez, Da Ruan, Francisco Herrera, Enrique Herrera-Viedma, Paul P. Wang: Linguistic decision making: Tools and applications. Inf. Sci. 179(14): 2297-2298 (2009)

Pedro J. Sánchez, Luis Martínez, Carlos García-Martínez, Francisco Herrera, Enrique Herrera-Viedma: A fuzzy model to evaluate the suitability of installing an enterprise resource planning system. Inf. Sci. 179(14): 2333-2341 (2009)

Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera: A study of the use of multi-objective evolutionary algorithms to learn Boolean queries: A comparative study. JASIST 60(6): 1192-1207 (2009)

Sergio Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera: h-Index: A review focused in its variants, computation and standardization for different scientific fields. J. Informetrics 3(4): 273-289 (2009)

Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesús, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera: KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009)

María José Gacto, Rafael Alcalá, Francisco Herrera: Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Comput. 13(5): 419-436 (2009)

Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera: A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput. 13(10): 959-977 (2009)

Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera: Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity. IEEE T. Fuzzy Systems 17(1): 14-23 (2009)

Rafael Alcalá, Pietro Ducange, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni: A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. IEEE T. Fuzzy Systems 17(5): 1106-1122 (2009)

Daniel Molina, Manuel Lozano, Francisco Herrera: Memetic algorithm with Local search chaining for large scale continuous optimization problems. IEEE Congress on Evolutionary Computation 2009: 830-837

Alberto Fernández, Francisco José Berlanga, María José del Jesús, Francisco Herrera: Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. IFSA/EUSFLAT Conf. 2009: 42-47

Julián Luengo, Francisco Herrera: On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System. IFSA/EUSFLAT Conf. 2009: 1027-1032

María José Gacto, Rafael Alcalá, Francisco Herrera: A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. IFSA/EUSFLAT Conf. 2009: 1146-1151

Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera: Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. 2009: 1740-1744

Pedro Villar, Alberto Fernández, Francisco Herrera: A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets. FUZZ-IEEE 2009: 1689-1694

Cristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera: An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. FUZZ-IEEE 2009: 1706-1711

Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi: Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection. FUZZ-IEEE 2009: 1718-1723

Daniel Molina, Manuel Lozano, Francisco Herrera: A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. GECCO (Companion) 2009: 2255-2262

Daniel Molina, Manuel Lozano, Francisco Herrera: A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. GECCO (Companion) 2009: 2359-2366

Joaquín Derrac, Salvador García, Francisco Herrera: A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. HAIS 2009: 557-564

Cristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera: Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. HAIS 2009: 573-580

Josean Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera: A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets. HAIS 2009: 581-588

Nicolò Flugy Papè, Jesús Alcalá-Fdez, Andrea Bonarini, Francisco Herrera: Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. HAIS 2009: 646-653

Alberto Fernández, Julián Luengo, Joaquín Derrac, Jesús Alcalá-Fdez, Francisco Herrera: Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. IDEAL 2009: 562-569

María José Gacto, Rafael Alcalá, Francisco Herrera: Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. ISDA 2009: 109-114

Salvador García, Joaquín Derrac, Julián Luengo, Francisco Herrera: A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. ISDA 2009: 517-522

Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera: Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. ISDA 2009: 523-528

Daniel Molina, Manuel Lozano, Francisco Herrera: Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. ISDA 2009: 1068-1073

M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesús, Francisco Herrera: A Preliminar Analysis of CO2RBFN in Imbalanced Problems. IWANN (1) 2009: 57-64

Julián Luengo, Francisco Herrera: Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. IWANN (1) 2009: 81-88

Alberto Fernández, María José del Jesús, Francisco Herrera: Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. IWANN (1) 2009: 294-301

Daniel Molina, Manuel Lozano, Francisco Herrera: Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. LION 2009: 221-234

Humberto Bustince Sola, Francisco Herrera, Javier Montero (Eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Studies in Fuzziness and Soft Computing 220, Springer 2008, isbn 978-3-540-73722-3

Carlos García-Martínez, Manuel Lozano, Francisco Herrera, Daniel Molina, Ana M. Sánchez: Global and local real-coded genetic algorithms based on parent-centric crossover operators. European Journal of Operational Research 185(3): 1088-1113 (2008)

José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García: Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection. Expert Syst. Appl. 35(4): 1949-1965 (2008)

Francisco Herrera: Genetic fuzzy systems: taxonomy, current research trends and prospects. Evolutionary Intelligence 1(1): 27-46 (2008)

Alberto Fernández, Salvador García, María José del Jesús, Francisco Herrera: A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. Fuzzy Sets and Systems 159(18): 2378-2398 (2008)

Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Jesús Alcalá-Fdez, Carlos Porcel: A consistency-based procedure to estimate missing pairwise preference values. Int. J. Intell. Syst. 23(2): 155-175 (2008)

Ana M. Sánchez, Manuel Lozano, Carlos García-Martínez, Daniel Molina, Francisco Herrera: Real-parameter crossover operators with multiple descendents: An experimental study. Int. J. Intell. Syst. 23(2): 246-268 (2008)

Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera: Guest Editors' Introduction. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(Supplement-2) (2008)

Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera: A Note on the Estimation of Missing Pairwise Preference Values: a Uninorm Consistency Based Method. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(Supplement-2): 19-32 (2008)

Manuel Lozano, Francisco Herrera, José Ramón Cano: Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178(23): 4421-4433 (2008)

Sergio Alonso, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma: An Interactive Decision Support System Based on Consistency Criteria. Multiple-Valued Logic and Soft Computing 14(3-5): 371-386 (2008)

Salvador García, José Ramón Cano, Francisco Herrera: A memetic algorithm for evolutionary prototype selection: A scaling up approach. Pattern Recognition 41(8): 2693-2709 (2008)

José Ramón Cano, Salvador García, Francisco Herrera: Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes. Pattern Recognition Letters 29(16): 2156-2164 (2008)

Rocío Romero-Záliz, Cristina Rubio-Escudero, J. P. Cobb, Francisco Herrera, Oscar Cordón, Igor Zwir: A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database. IEEE Trans. Evolutionary Computation 12(6): 679-701 (2008)

Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez: A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets. IEEE T. Fuzzy Systems 16(2): 354-370 (2008)

Francisco Chiclana, Sergio Alonso, Enrique Herrera-Viedma, Francisco Herrera: Construction of consistent fuzzy preference relations using uninorms. FUZZ-IEEE 2008: 1269-1273

Salvador García, Francisco Herrera: Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. HAIS 2008: 4-14

Pietro Ducange, Rafael Alcalá, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni: Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. HAIS 2008: 747-754

Antonio Gabriel López-Herrera, Manolo J. Cobo, Enrique Herrera-Viedma, Francisco Herrera: Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques. HIS 2008: 252-257

Alberto Fernández, María José del Jesús, Francisco Herrera: A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. HIS 2008: 483-488

Salvador García, Francisco Herrera: Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. HIS 2008: 567-572

Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera: Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. Hybrid Metaheuristics 2008: 58-71

Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera: On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 91-107

María José del Jesús, Pedro González, Francisco Herrera: Subgroup Discovery with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 411-430

Fatos Xhafa, Francisco Herrera, Ajith Abraham, Mario Köppen, José Manuel Benítez (Eds.): 8th International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, 2008, Barcelona, Spain. IEEE Computer Society 2008, isbn 978-0-7695-3326-1

José Ramón Cano, Francisco Herrera, Manuel Lozano: Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability. Data Knowl. Eng. 60(1): 90-108 (2007)

Carlos García-Martínez, Oscar Cordón, Francisco Herrera: A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP. European Journal of Operational Research 180(1): 116-148 (2007)

Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera, Sergio Alonso: Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations. European Journal of Operational Research 182(1): 383-399 (2007)

Jorge Casillas, Francisco Herrera, R. Pérez, María José del Jesús, Pedro Villar: Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. Int. J. Approx. Reasoning 44(1): 1-3 (2007)

Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera, José Otero: Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. Int. J. Approx. Reasoning 44(1): 45-64 (2007)

Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera: Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. Int. J. Intell. Syst. 22(9): 909-941 (2007)

Jesús Alcalá-Fdez, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín: Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. Int. J. Intell. Syst. 22(9): 1035-1064 (2007)

Rafael Alcalá, María José Gacto, Francisco Herrera, Jesús Alcalá-Fdez: A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): 539-557 (2007)

Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera: Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation. Soft Comput. 11(5): 401-419 (2007)

María José del Jesús, Pedro González, Francisco Herrera, Mikel Mesonero: Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. IEEE T. Fuzzy Systems 15(4): 578-592 (2007)

Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera: A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection. IEEE T. Fuzzy Systems 15(4): 616-635 (2007)

Enrique Herrera-Viedma, Sergio Alonso, Francisco Chiclana, Francisco Herrera: A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations. IEEE T. Fuzzy Systems 15(5): 863-877 (2007)

Francisco Alfredo Márquez, Antonio Peregrín, Francisco Herrera: Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems. IEEE T. Fuzzy Systems 15(6): 1162-1178 (2007)

Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Sergio Alonso: Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 176-189 (2007)

Jose Joaquin Aguilera, Manuel Chica, María José del Jesús, Francisco Herrera: Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems. FUZZ-IEEE 2007: 1-6

Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera: A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. FUZZ-IEEE 2007: 1-6

Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera: Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. FUZZ-IEEE 2007: 1-6

Sergio Alonso, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera: Visualizing Consensus in Group Decision Making Situations. FUZZ-IEEE 2007: 1-6

Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera: Consistency of Reciprocal Preference Relations. FUZZ-IEEE 2007: 1-6

Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera, Carlos Porcel, Sergio Alonso: Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. IFSA (2) 2007: 71-80

Julián Luengo, Salvador García, Francisco Herrera: A Study on the Use of Statistical Tests for Experimentation with Neural Networks. IWANN 2007: 72-79

Alberto Fernández, Salvador García, María José del Jesús, Francisco Herrera: A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets. IWANN 2007: 375-382

Alberto Fernández, Salvador García, Francisco Herrera, María José del Jesús: An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. WILF 2007: 170-178

José Ramón Cano, Francisco Herrera, Manuel Lozano: On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. Appl. Soft Comput. 6(3): 323-332 (2006)

Francisco Herrera, Manuel Lozano, Daniel Molina: Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. European Journal of Operational Research 169(2): 450-476 (2006)

Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez, Paul P. Wang: Recent advancements of fuzzy sets: Theory and practice. Inf. Sci. 176(4): 349-351 (2006)

Adel M. Alimi, Francisco Herrera: New trends in the fuzzy modeling part I: novel approaches. Soft Comput. 10(9): 715-716 (2006)

Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera: Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput. 10(9): 717-734 (2006)

Adel M. Alimi, Francisco Herrera: New trends in fuzzy modeling. part II: applications. Soft Comput. 10(10): 865 (2006)

Francisco José Berlanga, María José del Jesús, María José Gacto, Francisco Herrera: A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. ICAISC 2006: 182-191

Salvador García, José Ramón Cano, Francisco Herrera: Incorporating Knowledge in Evolutionary Prototype Selection. IDEAL 2006: 1358-1366

Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera: A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. IDEAL 2006: 1415-1423

Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera: Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. IEA/AIE 2006: 452-461

Francisco José Berlanga, María José del Jesús, Pedro González, Francisco Herrera, Mikel Mesonero: Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. Industrial Conference on Data Mining 2006: 337-349

Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel: Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. MDAI 2006: 34-45

Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera: Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. MDAI 2006: 317-328

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Antonio González, Francisco Herrera: A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Eng. Appl. of AI 18(3): 279-296 (2005)

Francisco Herrera, Luis Martínez, Pedro J. Sánchez: Managing non-homogeneous information in group decision making. European Journal of Operational Research 166(1): 115-132 (2005)

Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera: Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. Int. J. Intell. Syst. 20(4): 433-452 (2005)

Luis Martínez, Jun Liu, Jian-Bo Yang, Francisco Herrera: A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis. Int. J. Intell. Syst. 20(12): 1161-1194 (2005)

José Ramón Cano, Francisco Herrera, Manuel Lozano: Stratification for scaling up evolutionary prototype selection. Pattern Recognition Letters 26(7): 953-963 (2005)

Francisco Herrera, Manuel Lozano: Editorial Real coded genetic algorithms. Soft Comput. 9(4): 223-224 (2005)

Francisco Herrera, Manuel Lozano, Ana M. Sánchez: Hybrid crossover operators for real-coded genetic algorithms: an experimental study. Soft Comput. 9(4): 280-298 (2005)

Jorge Casillas, Oscar Cordón, María José del Jesús, Francisco Herrera: Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE T. Fuzzy Systems 13(1): 13-29 (2005)

Daniel Molina, Francisco Herrera, Manuel Lozano: Adaptive local search parameters for real-coded memetic algorithms. Congress on Evolutionary Computation 2005: 888-895

Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera: An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. EUSFLAT Conf. 2005: 904-909

Francisco José Berlanga, María José del Jesús, Francisco Herrera: Learning compact fuzzy rule-based classification systems with genetic programming. EUSFLAT Conf. 2005: 1027-1032

María José del Jesús, Pedro González, Francisco Herrera, Mikel Mesonero: Evolutionary Induction of Descriptive Rules in a Market Problem. Intelligent Data Mining 2005: 267-292

Enrique Herrera-Viedma, Carlos Porcel, Francisco Herrera, Luis Martínez, Antonio Gabriel López-Herrera: Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. Intelligent Data Mining 2005: 463-486

Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina: Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12(3): 273-302 (2004)

Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana, María Luque: Some issues on consistency of fuzzy preference relations. European Journal of Operational Research 154(1): 98-109 (2004)

Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena: Genetic fuzzy systems. New developments. Fuzzy Sets and Systems 141(1): 1-3 (2004)

Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena: Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets and Systems 141(1): 5-31 (2004)

Enrique Herrera-Viedma, Francisco Herrera, Luis Martínez, Juan Carlos Herrera, Antonio Gabriel López-Herrera: Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web. Fuzzy Sets and Systems 148(1): 61-83 (2004)

Oscar Cordón, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín: A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling. Int. J. Hybrid Intell. Syst. 1(1): 36-48 (2004)

Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera, Sergio Alonso: Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations. Int. J. Intell. Syst. 19(3): 233-255 (2004)

Carlos García-Martínez, Oscar Cordón, Francisco Herrera: An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP. ANTS Workshop 2004: 61-72

Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma: A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. MDAI 2004: 227-238

Bernard De Baets, Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, János C. Fodor, Luis Martínez: Preference modelling and applications: Selected papers from EUROFUSE 2001, Granada. Fuzzy Sets and Systems 137(1): 1-2 (2003)

Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez: A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators. Fuzzy Sets and Systems 137(1): 71-83 (2003)

Oscar Cordón, Francisco Herrera, Igor Zwir: A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology. Fuzzy Sets and Systems 138(2): 307-341 (2003)

Rafael Alcalá, José Ramón Cano, Oscar Cordón, Francisco Herrera, Pedro Villar, Igor Zwir: Linguistic modeling with hierarchical systems of weighted linguistic rules. Int. J. Approx. Reasoning 32(2-3): 187-215 (2003)

Francisco Herrera, Manuel Lozano, Ana M. Sánchez: A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study. Int. J. Intell. Syst. 18(3): 309-338 (2003)

Francisco Herrera, Enrique Herrera-Viedma, Francisco Chiclana: A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making. Int. J. Intell. Syst. 18(6): 689-707 (2003)

Bernard De Baets, Miguel Delgado, János C. Fodor, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez: Editorial: Preference modeling and applications: EUROFUSE 2001. Int. J. Intell. Syst. 18(7): 709-710 (2003)

Francisco Herrera, Manuel Lozano: Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. Soft Comput. 7(8): 545-562 (2003)

José Ramón Cano, Francisco Herrera, Manuel Lozano: Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. IEEE Trans. Evolutionary Computation 7(6): 561-575 (2003)

Oscar Cordón, Francisco Herrera: Author's reply [to comments on 'A proposal to improve the accuracy of linguistic modelling']. IEEE T. Fuzzy Systems 11(6): 866-869 (2003)

Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio F. Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González, Raúl Pérez: Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. 2003: 81-87

Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín: Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. EUSFLAT Conf. 2003: 100-104

Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera: Genetic learning of accurate TS models based on local fuzzy prototyping. EUSFLAT Conf. 2003: 105-108

Rafael Alcalá, Oscar Cordón, Francisco Herrera: Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. Modelling with Words 2003: 44-63

Francisco Herrera, Enrique López, Miguel A. Rodríguez: A linguistic decision model for promotion mix management solved with genetic algorithms. Fuzzy Sets and Systems 131(1): 47-61 (2002)

Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma: A note on the internal consistency of various preference representations. Fuzzy Sets and Systems 131(1): 75-78 (2002)

José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez: 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 12(3-4): 235-242 (2002)

Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, Maria J. Martín-Bautista, Luis Martínez, María Amparo Vila Miranda: A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet. Soft Comput. 6(5): 320-328 (2002)

Oscar Cordón, Francisco Herrera, Igor Zwir: Linguistic modeling by hierarchical systems of linguistic rules. IEEE T. Fuzzy Systems 10(1): 2-20 (2002)

Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana: A consensus model for multiperson decision making with different preference structures. IEEE Transactions on Systems, Man, and Cybernetics, Part A 32(3): 394-402 (2002)

Jorge Casillas, Oscar Cordón, Francisco Herrera: COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(4): 526-537 (2002)

Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera: Analysis of the Best-Worst Ant System and Its Variants on the QAP. Ant Algorithms 2002: 228-234

José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez: A GRASP Algorithm for Clustering. IBERAMIA 2002: 214-223

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. IBERAMIA 2002: 294-302

Oscar Cordón, Francisco Herrera, J. de la Montaña, Ana M. Sánchez, Pedro Villar: A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. IBERAMIA 2002: 381-391

Francisco Herrera, Manuel Lozano, E. Pérez, Ana M. Sánchez, Pedro Villar: Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-alpha Crossover Operator for Real-Coded Genetic Algorithms. IBERAMIA 2002: 392-401

Rafael Alcalá, Oscar Cordón, Francisco Herrera, Igor Zwir: Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. ICEIS 2002: 325-333

Francisco Herrera, Luis Martínez: Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. ICEIS 2002: 358-366

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir: Hybridizing Hierarchical and Weighted Linguistic Rules. SAC 2002: 812-816

Francisco Herrera, Enrique Herrera-Viedma, Francisco Chiclana: Multiperson decision-making based on multiplicative preference relations. European Journal of Operational Research 129(2): 372-385 (2001)

Francisco Herrera, Enrique López, Cristina Mendaña, Miguel A. Rodríguez: A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm. Fuzzy Sets and Systems 118(1): 47-64 (2001)

Oscar Cordón, Francisco Herrera: Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems. Fuzzy Sets and Systems 118(2): 235-255 (2001)

Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma: Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations. Fuzzy Sets and Systems 122(2): 277-291 (2001)

Oscar Cordón, Francisco Herrera, Igor Zwir: Fuzzy modeling by hierarchically built fuzzy rule bases. Int. J. Approx. Reasoning 27(1): 61-93 (2001)

Francisco Herrera, Enrique Herrera-Viedma: Guest Editorial - Computing with Words: Foundations and Applications. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(Supplement): 1-2 (2001)

Francisco Herrera, Luis Martínez: The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(Supplement): 33-48 (2001)

Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena: Recent advances in genetic fuzzy systems - Guest editorial. Inf. Sci. 136(1-4): 1-5 (2001)

Oscar Cordón, Francisco Herrera, Luis Magdalena, Pedro Villar: A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base. Inf. Sci. 136(1-4): 85-107 (2001)

Jorge Casillas, Oscar Cordón, María José del Jesús, Francisco Herrera: Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. Inf. Sci. 136(1-4): 135-157 (2001)

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. Journal of Intelligent and Fuzzy Systems 11(3-4): 99-119 (2001)

Francisco Herrera, Manuel Lozano: Adaptive genetic operators based on coevolution with fuzzy behaviors. IEEE Trans. Evolutionary Computation 5(2): 149-165 (2001)

Oscar Cordón, Francisco Herrera, Pedro Villar: Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE T. Fuzzy Systems 9(4): 667-674 (2001)

Francisco Herrera, Luis Martínez: A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 227-234 (2001)

Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan J. Merelo Guervós: Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution 2001: 311-322

Jorge Casillas, Oscar Cordón, Francisco Herrera: A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. EUSFLAT Conf. 2001: 118-121

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. EUSFLAT Conf. 2001: 237-240

M. Navío, Jose Joaquin Aguilera, María José del Jesús, R. González, Francisco Herrera, C. Iríbar: Feature Selection Algorithms Applied to Parkinson's Disease. ISMDA 2001: 195-200

Francisco Herrera, Manuel Lozano: Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Appl. Intell. 13(3): 187-204 (2000)

Francisco Herrera, Enrique Herrera-Viedma: Choice functions and mechanisms for linguistic preference relations. European Journal of Operational Research 120(1): 144-161 (2000)

Oscar Cordón, Francisco Herrera, Pedro Villar: Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. Int. J. Approx. Reasoning 25(3): 187-215 (2000)

Francisco Herrera, Luis Martínez: An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(5): 539-562 (2000)

Francisco Herrera, Manuel Lozano: Gradual distributed real-coded genetic algorithms. IEEE Trans. Evolutionary Computation 4(1): 43-63 (2000)

Oscar Cordón, Francisco Herrera: A proposal for improving the accuracy of linguistic modeling. IEEE T. Fuzzy Systems 8(3): 335-344 (2000)

Francisco Herrera, Luis Martínez: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE T. Fuzzy Systems 8(6): 746-752 (2000)

Francisco Herrera, Manuel Lozano: Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers. PPSN 2000: 335-344

Oscar Cordón, Francisco Herrera, Luciano Sánchez: Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Appl. Intell. 10(1): 5-24 (1999)

Francisco Herrera, Enrique López, Cristina Mendaña, Miguel A. Rodríguez: Solving an assignment-selection problem with verbal information and using genetic algorithms. European Journal of Operational Research 119(2): 326-337 (1999)

Oscar Cordón, María José del Jesús, Francisco Herrera: A proposal on reasoning methods in fuzzy rule-based classification systems. Int. J. Approx. Reasoning 20(1): 21-45 (1999)

Oscar Cordón, Francisco Herrera: A two-stage evolutionary process for designing TSK fuzzy rule-based systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 703-715 (1999)

Oscar Cordón, Francisco Herrera, Pedro Villar: Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. EUSFLAT-ESTYLF Joint Conf. 1999: 159-162

Oscar Cordón, Francisco Herrera, Antonio Peregrín: Characterisation of implication operators in fuzzy rule based systems from basic properties. EUSFLAT-ESTYLF Joint Conf. 1999: 163-166

Francisco Herrera, Luis Martínez: A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information. EUSFLAT-ESTYLF Joint Conf. 1999: 453-456

Oscar Cordón, Francisco Herrera: ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. IDA 1999: 15-26

Oscar Cordón, María José del Jesús, Francisco Herrera, Manuel Lozano: Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 2(5): 56-61 (1998)

Francisco Herrera, Manuel Lozano, José L. Verdegay: Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. Artif. Intell. Rev. 12(4): 265-319 (1998)

Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez: Combining Numerical and Linguistic Information in Group Decision Making. Inf. Sci. 107(1-4): 177-194 (1998)

Oscar Cordón, Francisco Herrera, Luciano Sánchez: Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes. IEA/AIE (Vol. 1) 1998: 478-486

Francisco Herrera, Manuel Lozano, Claudio Moraga: Hybrid Distributed Real-Coded Genetic Algorithms. PPSN 1998: 603-612

Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay: Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making. Int. J. Approx. Reasoning 16(3-4): 309-334 (1997)

Francisco Herrera: Special issue on genetic fuzzy systems for control and robotics-- Preface. Int. J. Approx. Reasoning 17(4): 325-326 (1997)

Oscar Cordón, Francisco Herrera: A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples. Int. J. Approx. Reasoning 17(4): 369-407 (1997)

Francisco Herrera, Enrique Herrera-Viedma: Aggregation operators for linguistic weighted information. IEEE Transactions on Systems, Man, and Cybernetics, Part A 27(5): 646-656 (1997)

Francisco Herrera, Manuel Lozano: Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives. PPSN 1996: 336-345

Oscar Cordón, Francisco Herrera, Manuel Lozano: A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. PPSN 1996: 720-729

Francisco Herrera, Manuel Lozano, José L. Verdegay: Tuning fuzzy logic controllers by genetic algorithms. Int. J. Approx. Reasoning 12(3-4): 299-315 (1995)

Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay: A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. Inf. Sci. 85(4): 223-239 (1995)