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Title:
Author:
Francisco Herrera: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan J. Merelo Guervós
    Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2001, pp:311-322 [Conf]
  2. Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera
    Analysis of the Best-Worst Ant System and Its Variants on the QAP. [Citation Graph (0, 0)][DBLP]
    Ant Algorithms, 2002, pp:228-234 [Conf]
  3. Carlos García-Martínez, Oscar Cordón, Francisco Herrera
    An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2004, pp:61-72 [Conf]
  4. Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
    Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:294-302 [Conf]
  5. Francisco Herrera, Manuel Lozano, E. Pérez, A. 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. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:392-401 [Conf]
  6. José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez
    A GRASP Algorithm for Clustering. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:214-223 [Conf]
  7. Oscar Cordón, Francisco Herrera, J. de la Montaña, A. M. Sánchez, Pedro Villar
    A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:381-391 [Conf]
  8. 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. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:182-191 [Conf]
  9. Rafael Alcalá, Oscar Cordón, Francisco Herrera, Igor Zwir
    Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. [Citation Graph (0, 0)][DBLP]
    ICEIS, 2002, pp:325-333 [Conf]
  10. Francisco Herrera, Luis Martínez
    Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. [Citation Graph (0, 0)][DBLP]
    ICEIS, 2002, pp:358-366 [Conf]
  11. Oscar Cordón, Francisco Herrera
    ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:15-26 [Conf]
  12. Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera
    A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1415-1423 [Conf]
  13. Salvador García, José Ramón Cano, Francisco Herrera
    Incorporating Knowledge in Evolutionary Prototype Selection. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1358-1366 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:452-461 [Conf]
  15. Oscar Cordón, Francisco Herrera, Luciano Sánchez
    Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 1), 1998, pp:478-486 [Conf]
  16. Francisco José Berlanga, María José del Jesús, Pedro González, Francisco José Herrera, Mikel Mesonero
    Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:337-349 [Conf]
  17. M. Navío, J. J. Aguilera, María José del Jesús, R. González, Francisco Herrera, C. Iríbar
    Feature Selection Algorithms Applied to Parkinson's Disease. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2001, pp:195-200 [Conf]
  18. 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. [Citation Graph (0, 0)][DBLP]
    MDAI, 2006, pp:317-328 [Conf]
  19. Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma
    A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. [Citation Graph (0, 0)][DBLP]
    MDAI, 2004, pp:227-238 [Conf]
  20. Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel
    Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. [Citation Graph (0, 0)][DBLP]
    MDAI, 2006, pp:34-45 [Conf]
  21. Rafael Alcalá, Oscar Cordón, Francisco Herrera
    Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. [Citation Graph (0, 0)][DBLP]
    Modelling with Words, 2003, pp:44-63 [Conf]
  22. Oscar Cordón, Francisco Herrera, Manuel Lozano
    A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:720-729 [Conf]
  23. Francisco Herrera, Manuel Lozano
    Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:335-344 [Conf]
  24. Francisco Herrera, Manuel Lozano
    Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:336-345 [Conf]
  25. Francisco Herrera, Manuel Lozano, Claudio Moraga
    Hybrid Distributed Real-Coded Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:603-612 [Conf]
  26. Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir
    Hybridizing Hierarchical and Weighted Linguistic Rules. [Citation Graph (0, 0)][DBLP]
    SAC, 2002, pp:812-816 [Conf]
  27. Oscar Cordón, María José del Jesús, Francisco Herrera, Manuel Lozano
    Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998, v:5, n:, pp:56-61 [Journal]
  28. Francisco Herrera, Manuel Lozano, José L. Verdegay
    Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1998, v:12, n:4, pp:265-319 [Journal]
  29. Francisco Herrera, Manuel Lozano
    Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2000, v:13, n:3, pp:187-204 [Journal]
  30. Oscar Cordón, Francisco Herrera, Luciano Sánchez
    Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1999, v:10, n:1, pp:5-24 [Journal]
  31. José Ramón Cano, Francisco Herrera, Manuel Lozano
    On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2006, v:6, n:3, pp:323-332 [Journal]
  32. José Ramón Cano, Francisco Herrera, Manuel Lozano
    Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2007, v:60, n:1, pp:90-108 [Journal]
  33. Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina
    Real-Coded Memetic Algorithms with Crossover Hill-Climbing. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2004, v:12, n:3, pp:273-302 [Journal]
  34. 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. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:137, n:1, pp:1-2 [Journal]
  35. Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena
    Genetic fuzzy systems. New developments. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:141, n:1, pp:1-3 [Journal]
  36. Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena
    Ten years of genetic fuzzy systems: current framework and new trends. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:141, n:1, pp:5-31 [Journal]
  37. Oscar Cordón, Francisco Herrera
    Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:118, n:2, pp:235-255 [Journal]
  38. Oscar Cordón, Francisco Herrera, Igor Zwir
    A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:138, n:2, pp:307-341 [Journal]
  39. Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma
    Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:122, n:2, pp:277-291 [Journal]
  40. Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma
    A note on the internal consistency of various preference representations. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:131, n:1, pp:75-78 [Journal]
  41. Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez
    A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:137, n:1, pp:71-83 [Journal]
  42. Francisco Herrera, Enrique López, Cristina Mendaña, Miguel A. Rodríguez
    A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:118, n:1, pp:47-64 [Journal]
  43. Francisco Herrera, Enrique López, Miguel A. Rodríguez
    A linguistic decision model for promotion mix management solved with genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:131, n:1, pp:47-61 [Journal]
  44. Enrique Herrera-Viedma, Francisco Herrera, Luis Martínez, Juan Carlos Herrera, Antonio Gabriel López
    Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:148, n:1, pp:61-83 [Journal]
  45. Rafael Alcalá, José Ramón Cano, Oscar Cordón, Francisco Herrera, Pedro Villar, Igor Zwir
    Linguistic modeling with hierarchical systems of weighted linguistic rules. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:32, n:2-3, pp:187-215 [Journal]
  46. Oscar Cordón, Francisco Herrera
    A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1997, v:17, n:4, pp:369-407 [Journal]
  47. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2000, v:25, n:3, pp:187-215 [Journal]
  48. Oscar Cordón, Francisco Herrera, Igor Zwir
    Fuzzy modeling by hierarchically built fuzzy rule bases. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:27, n:1, pp:61-93 [Journal]
  49. Oscar Cordón, María José del Jesús, Francisco Herrera
    A proposal on reasoning methods in fuzzy rule-based classification systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1999, v:20, n:1, pp:21-45 [Journal]
  50. Francisco Herrera
    Special issue on genetic fuzzy systems for control and robotics-- Preface. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1997, v:17, n:4, pp:325-326 [Journal]
  51. Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay
    Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1997, v:16, n:3-4, pp:309-334 [Journal]
  52. Francisco Herrera, Manuel Lozano, José L. Verdegay
    Tuning fuzzy logic controllers by genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1995, v:12, n:3-4, pp:299-315 [Journal]
  53. Jorge Casillas, Francisco Herrera, R. Pérez, María José del Jesús, Pedro Villar
    Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:1, pp:1-3 [Journal]
  54. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:1, pp:45-64 [Journal]
  55. Oscar Cordón, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín
    A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:1, pp:36-48 [Journal]
  56. Bernard De Baets, Miguel Delgado, János C. Fodor, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez
    Editorial: Preference modeling and applications: EUROFUSE 2001. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:7, pp:709-710 [Journal]
  57. Francisco Herrera, Enrique Herrera-Viedma, Francisco Chiclana
    A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:6, pp:689-707 [Journal]
  58. Francisco Herrera, Manuel Lozano, A. M. Sánchez
    A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:3, pp:309-338 [Journal]
  59. Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera
    Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:4, pp:433-452 [Journal]
  60. Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera, Sergio Alonso
    Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2004, v:19, n:3, pp:233-255 [Journal]
  61. Luis Martínez, Jun Liu, Jian-Bo Yang, Francisco Herrera
    A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:12, pp:1161-1194 [Journal]
  62. Francisco Herrera, Enrique Herrera-Viedma
    Guest Editorial - Computing with Words: Foundations and Applications. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:Supplement, pp:1-2 [Journal]
  63. Francisco Herrera, Luis Martínez
    An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:5, pp:539-562 [Journal]
  64. Francisco Herrera, Luis Martínez
    The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:Supplement, pp:33-48 [Journal]
  65. 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. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:136, n:1-4, pp:135-157 [Journal]
  66. Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena
    Recent advances in genetic fuzzy systems - Guest editorial. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:136, n:1-4, pp:1-5 [Journal]
  67. 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. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:136, n:1-4, pp:85-107 [Journal]
  68. Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez
    Combining Numerical and Linguistic Information in Group Decision Making. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:107, n:1-4, pp:177-194 [Journal]
  69. Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez, Paul P. Wang
    Recent advancements of fuzzy sets: Theory and practice. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:4, pp:349-351 [Journal]
  70. Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay
    A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1995, v:85, n:4, pp:223-239 [Journal]
  71. Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
    Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2001, v:11, n:3-4, pp:99-119 [Journal]
  72. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:12, n:3-4, pp:235-242 [Journal]
  73. José Ramón Cano, Francisco Herrera, Manuel Lozano
    Stratification for scaling up evolutionary prototype selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:7, pp:953-963 [Journal]
  74. 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. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:5, pp:320-328 [Journal]
  75. Francisco Herrera, Manuel Lozano
    Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2003, v:7, n:8, pp:545-562 [Journal]
  76. Francisco Herrera, Manuel Lozano
    Editorial Real coded genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:4, pp:223-224 [Journal]
  77. Francisco Herrera, Manuel Lozano, A. M. Sánchez
    Hybrid crossover operators for real-coded genetic algorithms: an experimental study. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:4, pp:280-298 [Journal]
  78. Adel M. Alimi, Francisco Herrera
    New trends in the fuzzy modeling part I: novel approaches. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:9, pp:715-716 [Journal]
  79. Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera
    Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:9, pp:717-734 [Journal]
  80. Adel M. Alimi, Francisco Herrera
    New trends in fuzzy modeling. part II: applications. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:10, pp:865- [Journal]
  81. 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. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:5, pp:401-419 [Journal]
  82. José Ramón Cano, Francisco Herrera, Manuel Lozano
    Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2003, v:7, n:6, pp:561-575 [Journal]
  83. Francisco Herrera, Manuel Lozano
    Gradual distributed real-coded genetic algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:1, pp:43-63 [Journal]
  84. Francisco Herrera, Manuel Lozano
    Adaptive genetic operators based on coevolution with fuzzy behaviors. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2001, v:5, n:2, pp:149-165 [Journal]
  85. 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. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2005, v:13, n:1, pp:13-29 [Journal]
  86. Jorge Casillas, Oscar Cordón, Francisco Herrera
    COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:4, pp:526-537 [Journal]
  87. Oscar Cordón, Francisco Herrera
    A two-stage evolutionary process for designing TSK fuzzy rule-based systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:6, pp:703-715 [Journal]
  88. Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana
    A consensus model for multiperson decision making with different preference structures. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2002, v:32, n:3, pp:394-402 [Journal]
  89. Francisco Herrera, Luis Martínez
    A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:2, pp:227-234 [Journal]
  90. 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. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2007, v:180, n:1, pp:116-148 [Journal]
  91. 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. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2007, v:182, n:1, pp:383-399 [Journal]
  92. Francisco Herrera, Manuel Lozano, Daniel Molina
    Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:169, n:2, pp:450-476 [Journal]
  93. Francisco Herrera, Luis Martínez, P. J. Sánchez
    Managing non-homogeneous information in group decision making. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2005, v:166, n:1, pp:115-132 [Journal]
  94. Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana, María Luque
    Some issues on consistency of fuzzy preference relations. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:154, n:1, pp:98-109 [Journal]
  95. 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. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:375-382 [Conf]
  96. Julián Luengo, Salvador García, Francisco Herrera
    A Study on the Use of Statistical Tests for Experimentation with Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:72-79 [Conf]
  97. 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. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:170-178 [Conf]
  98. Daniel Molina, Francisco Herrera, Manuel Lozano
    Adaptive local search parameters for real-coded memetic algorithms. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:888-895 [Conf]

  99. Consistency of Reciprocal Preference Relations. [Citation Graph (, )][DBLP]


  100. Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems. [Citation Graph (, )][DBLP]


  101. Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. [Citation Graph (, )][DBLP]


  102. Visualizing Consensus in Group Decision Making Situations. [Citation Graph (, )][DBLP]


  103. A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. [Citation Graph (, )][DBLP]


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  105. A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. [Citation Graph (, )][DBLP]


  106. Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. [Citation Graph (, )][DBLP]


  107. Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques. [Citation Graph (, )][DBLP]


  108. A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. [Citation Graph (, )][DBLP]


  109. Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. [Citation Graph (, )][DBLP]


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  112. Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. [Citation Graph (, )][DBLP]


  113. A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. [Citation Graph (, )][DBLP]


  114. Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. [Citation Graph (, )][DBLP]


  115. A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  116. Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. [Citation Graph (, )][DBLP]


  117. Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. [Citation Graph (, )][DBLP]


  118. A Preliminar Analysis of CO2RBFN in Imbalanced Problems. [Citation Graph (, )][DBLP]


  119. Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. [Citation Graph (, )][DBLP]


  120. Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. [Citation Graph (, )][DBLP]


  121. Memetic algorithm with Local search chaining for large scale continuous optimization problems. [Citation Graph (, )][DBLP]


  122. Learning compact fuzzy rule-based classification systems with genetic programming. [Citation Graph (, )][DBLP]


  123. An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. [Citation Graph (, )][DBLP]


  124. Genetic learning of accurate TS models based on local fuzzy prototyping. [Citation Graph (, )][DBLP]


  125. Current issues and future directions in evolutionary fuzzy systems research. [Citation Graph (, )][DBLP]


  126. Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. [Citation Graph (, )][DBLP]


  127. A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. [Citation Graph (, )][DBLP]


  128. Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. [Citation Graph (, )][DBLP]


  129. Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. [Citation Graph (, )][DBLP]


  130. A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information. [Citation Graph (, )][DBLP]


  131. Characterisation of implication operators in fuzzy rule based systems from basic properties. [Citation Graph (, )][DBLP]


  132. A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. [Citation Graph (, )][DBLP]


  133. On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System. [Citation Graph (, )][DBLP]


  134. Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. [Citation Graph (, )][DBLP]


  135. Distributed Genetic Tuning of Fuzzy Rule-Based Systems. [Citation Graph (, )][DBLP]


  136. Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. [Citation Graph (, )][DBLP]


  137. Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. [Citation Graph (, )][DBLP]


  138. Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. [Citation Graph (, )][DBLP]


  139. A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. [Citation Graph (, )][DBLP]


  140. A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets. [Citation Graph (, )][DBLP]


  141. Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. [Citation Graph (, )][DBLP]


  142. Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. [Citation Graph (, )][DBLP]


  143. Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. [Citation Graph (, )][DBLP]


  144. Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. [Citation Graph (, )][DBLP]


  145. Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. [Citation Graph (, )][DBLP]


  146. Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. [Citation Graph (, )][DBLP]


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