Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Francisco Herrera
2010 – today
- 2013
[j212]Rosa M. Rodriguez, Luis Martínez, Francisco Herrera: A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Inf. Sci. 241: 28-42 (2013)
[j211]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera: Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness. Inf. Sci. 247: 1-20 (2013)
[j210]Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera: An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250: 113-141 (2013)
[j209]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. JASIST 64(7): 1468-1479 (2013)
[j208]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)
[j207]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)
[j206]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)
[j205]Nele Verbiest, Chris Cornelis, Francisco Herrera: FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognition 46(10): 2770-2782 (2013)
[j204]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera: Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers. Pattern Recognition 46(12): 3412-3424 (2013)
[j203]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera: EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recognition 46(12): 3460-3471 (2013)
[j202]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)
[j201]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)
[j200]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)
[c115]Daniel Molina, Amilkar Puris, Rafael Bello, Francisco Herrera: Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. IEEE Congress on Evolutionary Computation 2013: 87-94
[c114]Benjamin Lacroix, Daniel Molina, Francisco Herrera: Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. IEEE Congress on Evolutionary Computation 2013: 1945-1951
[c113]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera: A First Approach to Deal with Imbalance in Multi-label Datasets. HAIS 2013: 150-160
[c112]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera: An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. HAIS 2013: 568-577
[c111]Nele Verbiest, Chris Cornelis, Francisco Herrera: OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory. RSFDGrC 2013: 180-190
[e7]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
[i2]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)
[i1]Nicolas Robinson-Garcia, Jose G. Moreno-Torres, Daniel Torres-Salinas, Emilio Delgado López-Cózar, Francisco Herrera: The role of national university rankings in an international context: the case of the I-UGR Rankings of Spanish universities. CoRR abs/1305.1216 (2013)- 2012
[j199]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)
[j198]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)
[j197]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)
[j196]Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera: Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97: 332-343 (2012)
[j195]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)
[j194]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)
[j193]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)
[j192]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)
[j191]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)
[j190]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)
[j189]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)
[j188]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)
[j187]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)
[j186]
[j185]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)
[j184]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)
[j183]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)
[j182]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)
[j181]Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera: Variable mesh optimization for continuous optimization problems. Soft Comput. 16(3): 511-525 (2012)
[j180]Julián Luengo, José A. Sáez, Francisco Herrera: Missing data imputation for fuzzy rule-based classification systems. Soft Comput. 16(5): 863-881 (2012)
[j179]Rosa M. Rodriguez, Luis Martínez, Francisco Herrera: Hesitant Fuzzy Linguistic Term Sets for Decision Making. IEEE T. Fuzzy Systems 20(1): 109-119 (2012)
[j178]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)
[j177]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)
[j176]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)
[j175]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)
[j174]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)
[j173]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)
[c110]Benjamin Lacroix, Daniel Molina, Francisco Herrera: Region based memetic algorithm with LS chaining. IEEE Congress on Evolutionary Computation 2012: 1-6
[c109]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
[c108]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
[c107]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
[c106]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
[c105]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
[c104]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
[c103]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
[c102]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
[c101]Rosa M. Rodriguez, Luis Martínez, Francisco Herrera: Group Decision Making with Comparative Linguistic Terms. IPMU (1) 2012: 181-190
[c100]A. Fernández, S. del Río, Francisco Herrera, José Manuel Benítez: An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. KMO 2012: 559-570
[p8]A. Fernández, Francisco Herrera: Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle. Combining Experimentation and Theory 2012: 103-122- 2011
[j172]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe: Special issue on the trends in applied intelligence systems. Appl. Intell. 34(3): 329-330 (2011)
[j171]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)
[j170]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)
[j169]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)
[j168]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)
[j167]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)
[j166]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)
[j165]Jesús Alcalá-Fdez, Francisco Herrera: Soft Computing Techniques in Data Mining. Multiple-Valued Logic and Soft Computing 17(2-3): 99-100 (2011)
[j164]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)
[j163]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)
[j162]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)
[j161]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)
[j160]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)
[j159]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)
[j158]Yusuke Nojima, Rafael Alcalá, Hisao Ishibuchi, Francisco Herrera: Special issue on evolutionary fuzzy systems. Soft Comput. 15(12): 2299-2301 (2011)
[j157]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)
[j156]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)
[j155]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)
[j154]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)
[c99]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
[c98]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
[c97]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
[c96]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
[c95]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
[c94]Isaac Triguero, Salvador García, Francisco Herrera: Enhancing IPADE Algorithm with a Different Individual Codification. HAIS (2) 2011: 262-270
[c93]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
[c92]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera: A multi-objective evolutionary algorithm for mining quantitative association rules. ISDA 2011: 1397-1402
[c91]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
[c90]Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García: A study of the scaling up capabilities of stratified prototype generation. NaBIC 2011: 297-302
[c89]María José Gacto, Rafael Alcalá, Francisco Herrera: A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. WILF 2011: 99-106
[p7]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- 2010
[j153]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)
[j152]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)
[j151]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)
[j150]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)
[j149]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)
[j148]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)
[j147]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)
[j146]Francisco Herrera, Francesco Marcelloni, Vincenzo Loia: Guest Editors' Introduction. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18(4) (2010)
[j145]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)
[j144]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)
[j143]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)
[j142]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)
[j141]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)
[j140]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)
[j139]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)
[j138]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)
[j137]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)
[j136]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)
[j135]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)
[j134]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)
[j133]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)
[j132]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)
[j131]Isaac Triguero, Salvador García, Francisco Herrera: IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21(12): 1984-1990 (2010)
[j130]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)
[c88]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
[c87]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
[c86]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
[c85]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
[c84]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
[c83]Joaquín Derrac, Salvador García, Francisco Herrera: IFS-CoCo in the Landscape Contest: Description and Results. ICPR Contests 2010: 56-65
[c82]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
[c81]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
[c80]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
[c79]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
[c78]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
[c77]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
[p6]Salvador García, José Ramón Cano, Francisco Herrera: A Review on Evolutionary Prototype Selection. Intelligent Systems for Automated Learning and Adaptation 2010: 92-113
[p5]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
[e6]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
[e5]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
[e4]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
2000 – 2009
- 2009
[j129]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)
[j128]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)
[j127]Salvador García, Francisco Herrera: Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. Evolutionary Computation 17(3): 275-306 (2009)
[j126]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)
[j125]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)
[j124]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)
[j123]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)
[j122]Francisco Herrera, Enrique Herrera-Viedma, Sergio Alonso, Francisco Chiclana: Computing with words and decision making. FO & DM 8(4): 323-324 (2009)
[j121]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)
[j120]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)
[j119]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)
[j118]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)
[j117]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)
[j116]Fatos Xhafa, Francisco Herrera, Mario Köppen: Special issue: Data mining and hybrid intelligent systems. Int. J. Hybrid Intell. Syst. 6(2): 67 (2009)
[j115]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)
[j114]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)
[j113]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)
[j112]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)
[j111]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)
[j110]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)
[j109]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)
[j108]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)
[j107]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)
[j106]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)
[j105]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)
[j104]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)
[j103]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)
[j102]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)
[c76]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
[c75]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
[c74]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
[c73]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
[c72]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera: Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. 2009: 1740-1744
[c71]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
[c70]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
[c69]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
[c68]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
[c67]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
[c66]Joaquín Derrac, Salvador García, Francisco Herrera: A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. HAIS 2009: 557-564
[c65]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
[c64]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
[c63]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
[c62]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
[c61]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
[c60]Salvador García, Joaquín Derrac, Julián Luengo, Francisco Herrera: A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. ISDA 2009: 517-522
[c59]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
[c58]Daniel Molina, Manuel Lozano, Francisco Herrera: Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. ISDA 2009: 1068-1073
[c57]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
[c56]Julián Luengo, Francisco Herrera: Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. IWANN (1) 2009: 81-88
[c55]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
[c54]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
[e3]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- 2008
[j101]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)
[j100]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)
[j99]Francisco Herrera: Genetic fuzzy systems: taxonomy, current research trends and prospects. Evolutionary Intelligence 1(1): 27-46 (2008)
[j98]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)
[j97]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)
[j96]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)
[j95]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)
[j94]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)
[j93]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)
[j92]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)
[j91]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)
[j90]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)
[j89]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)
[j88]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)
[c53]Francisco Chiclana, Sergio Alonso, Enrique Herrera-Viedma, Francisco Herrera: Construction of consistent fuzzy preference relations using uninorms. FUZZ-IEEE 2008: 1269-1273
[c52]Salvador García, Francisco Herrera: Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. HAIS 2008: 4-14
[c51]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
[c50]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
[c49]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
[c48]Salvador García, Francisco Herrera: Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. HIS 2008: 567-572
[c47]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
[p4]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
[p3]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
[e2]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
[e1]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- 2007
[j87]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)
[j86]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)
[j85]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)
[j84]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)
[j83]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)
[j82]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)
[j81]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)
[j80]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)
[j79]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)
[j78]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)
[j77]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)
[j76]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)
[j75]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)
[j74]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)
[c46]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
[c45]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
[c44]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
[c43]Sergio Alonso, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera: Visualizing Consensus in Group Decision Making Situations. FUZZ-IEEE 2007: 1-6
[c42]Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera: Consistency of Reciprocal Preference Relations. FUZZ-IEEE 2007: 1-6
[c41]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
[c40]Julián Luengo, Salvador García, Francisco Herrera: A Study on the Use of Statistical Tests for Experimentation with Neural Networks. IWANN 2007: 72-79
[c39]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
[c38]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- 2006
[j73]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)
[j72]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)
[j71]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)
[j70]Adel M. Alimi, Francisco Herrera: New trends in the fuzzy modeling part I: novel approaches. Soft Comput. 10(9): 715-716 (2006)
[j69]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)
[j68]Adel M. Alimi, Francisco Herrera: New trends in fuzzy modeling. part II: applications. Soft Comput. 10(10): 865 (2006)
[c37]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
[c36]Salvador García, José Ramón Cano, Francisco Herrera: Incorporating Knowledge in Evolutionary Prototype Selection. IDEAL 2006: 1358-1366
[c35]Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera: A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. IDEAL 2006: 1415-1423
[c34]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
[c33]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
[c32]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
[c31]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- 2005
[j67]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)
[j66]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)
[j65]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)
[j64]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)
[j63]José Ramón Cano, Francisco Herrera, Manuel Lozano: Stratification for scaling up evolutionary prototype selection. Pattern Recognition Letters 26(7): 953-963 (2005)
[j62]Francisco Herrera, Manuel Lozano: Editorial Real coded genetic algorithms. Soft Comput. 9(4): 223-224 (2005)
[j61]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)
[j60]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)
[c30]Daniel Molina, Francisco Herrera, Manuel Lozano: Adaptive local search parameters for real-coded memetic algorithms. Congress on Evolutionary Computation 2005: 888-895
[c29]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
[c28]Francisco José Berlanga, María José del Jesús, Francisco Herrera: Learning compact fuzzy rule-based classification systems with genetic programming. EUSFLAT Conf. 2005: 1027-1032
[p2]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
[p1]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- 2004
[j59]Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina: Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12(3): 273-302 (2004)
[j58]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)
[j57]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)
[j56]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)
[j55]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)
[j54]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)
[j53]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)
[c27]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
[c26]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- 2003
[j52]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)
[j51]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)
[j50]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)
[j49]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning. Integrated Computer-Aided Engineering 10(4): 343-355 (2003)
[j48]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)
[j47]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)
[j46]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)
[j45]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)
[j44]Francisco Herrera, Manuel Lozano: Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. Soft Comput. 7(8): 545-562 (2003)
[j43]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)
[j42]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)
[c25]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
[c24]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
[c23]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
[c22]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- 2002
[j41]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)
[j40]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)
[j39]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)
[j38]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)
[j37]Oscar Cordón, Francisco Herrera, Igor Zwir: Linguistic modeling by hierarchical systems of linguistic rules. IEEE T. Fuzzy Systems 10(1): 2-20 (2002)
[j36]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)
[j35]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)
[c21]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
[c20]José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez: A GRASP Algorithm for Clustering. IBERAMIA 2002: 214-223
[c19]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera: Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. IBERAMIA 2002: 294-302
[c18]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
[c17]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
[c16]Rafael Alcalá, Oscar Cordón, Francisco Herrera, Igor Zwir: Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. ICEIS 2002: 325-333
[c15]Francisco Herrera, Luis Martínez: Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. ICEIS 2002: 358-366
[c14]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir: Hybridizing Hierarchical and Weighted Linguistic Rules. SAC 2002: 812-816- 2001
[j34]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)
[j33]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)
[j32]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)
[j31]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)
[j30]Oscar Cordón, Francisco Herrera, Igor Zwir: Fuzzy modeling by hierarchically built fuzzy rule bases. Int. J. Approx. Reasoning 27(1): 61-93 (2001)
[j29]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)
[j28]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)
[j27]Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena: Recent advances in genetic fuzzy systems - Guest editorial. Inf. Sci. 136(1-4): 1-5 (2001)
[j26]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)
[j25]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)
[j24]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)
[j23]Francisco Herrera, Manuel Lozano: Adaptive genetic operators based on coevolution with fuzzy behaviors. IEEE Trans. Evolutionary Computation 5(2): 149-165 (2001)
[j22]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)
[j21]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)
[c13]Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan J. Merelo Guervós: Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution 2001: 311-322
[c12]Jorge Casillas, Oscar Cordón, Francisco Herrera: A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. EUSFLAT Conf. 2001: 118-121
[c11]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
[c10]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- 2000
[j20]Francisco Herrera, Manuel Lozano: Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Appl. Intell. 13(3): 187-204 (2000)
[j19]Francisco Herrera, Enrique Herrera-Viedma: Choice functions and mechanisms for linguistic preference relations. European Journal of Operational Research 120(1): 144-161 (2000)
[j18]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)
[j17]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)
[j16]Francisco Herrera, Manuel Lozano: Gradual distributed real-coded genetic algorithms. IEEE Trans. Evolutionary Computation 4(1): 43-63 (2000)
[j15]Oscar Cordón, Francisco Herrera: A proposal for improving the accuracy of linguistic modeling. IEEE T. Fuzzy Systems 8(3): 335-344 (2000)
[j14]

