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Number of Results: 856

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In Press (8)


2017 (13)


2016 (42)

  • [1925] José A. Sáez, J. Luengo, F. Herrera. Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure. Neurocomputing 176 (2016) 26-35. doi: 10.1016/j.neucom.2014.11.086 PDF Icon
  • [1924] José A. Sáez, M. Galar, J. Luengo, F. Herrera. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Information Fusion 27 (2016) 505-636. doi: 10.1016/j.inffus.2015.04.002 PDF Icon
  • [2107] D. Peralta, A. Herrera-Poyatos, F. Herrera. Un Estudio sobre el Preprocesamiento para Redes Neuronales Profundas y Aplicación sobre Reconocimiento de Dígitos Manuscritos. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA), September 14-16, 2016.
  • [1896] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Transaction on Cybernetics 46:3 (2016) 595-608. doi: 10.1109/TCYB.2015.2410143
  • [2079] D. Martin, J. Alcalá-Fdez, A. Rosete, F. Herrera. NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules. Information Sciences 355-356 (2016) 208-228. doi: 10.1016/j.ins.2016.03.039 PDF Icon BibTex Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results, etc

  • [1964] J. Derrac, F. Chiclana, S. García, F. Herrera. Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. Information Sciences 329 (2016) 144-163. doi: 10.1016/j.ins.2015.09.007
  • [1965] Y. Xu, F. Herrera, H. Wang. A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations. Information Sciences 380:20 (2016) 189-205. doi: 10.1016/j.ins.2015.08.034
  • [1966] J. Mendel, H. Hagras, H. Bustince Sola, F. Herrera. Comments on “Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wide view on their relationship”[2]. IEEE Transactions on Fuzzy Systems 24:1 (2016) 249-250. doi: 10.1109/TFUZZ.2015.2446508
  • [1968] N. Verbiest, J. Derrac, C. Cornelis, S. García, F. Herrera. Evolutionary Wrapper Approaches for Training Set Selection as Preprocessing Mechanism for Support Vector Machines: Experimental Evaluation and Support Vector Analysis. Applied Soft Computing 38 (2016) 10-22. doi: 10.1016/j.asoc.2015.09.006
  • [2070] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, S. Alshomrani, H. Bustince, F. Herrera. Enhancing Evolutionary Fuzzy Systems for Multi-Class Problems: Distance-based Relative Competence Weighting with Truncated Confidences (DRCW-TC). International Journal of Approximate Reasoning 73 (2016) 108-122. doi: 10.1016/j.ijar.2016.02.005 PDF Icon BibTex Icon
  • [1996] S. Ramírez-Gallego, S. García, H. Mouriño Talín, D. Martínez-Rego, V. Bolón-Canedo, A. Alonso-Betanzos, J. M. Benítez, F. Herrera. Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6:1 (2016) 5-21. doi: 10.1002/widm.1173 PDF Icon
  • [2009] E. Ramentol, I. Gondres, S. Lajes, R. Bello, Y. Caballero, C. Cornelis, F. Herrera. Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Engineering Applications of Artificial Intelligence 48 (2016) 134-139. doi: 10.1016/j.engappai.2015.10.009
  • [2098] P. Morales, J. Luengo, F. Herrera. A First Study on the Use of Boosting for Class Noise Reparation. 11th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2016), Lecture Notes in Computer Science (LNCS) 9648, Seville (Spain), 549-559, April 18-20, 2016. doi: 10.1007/978-3-319-32034-2_46 PDF Icon
  • [2011] B. Krawczyk, M. Galar, L. Jelén, F. Herrera. Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing 38 (2016) 714-726. doi: 10.1016/j.asoc.2015.08.060
  • [2013] S. Vluymans, D. Sanchez-Tarrago, Y. Saeys, C. Cornelis, F. Herrera. Fuzzy Multi-Instance Classifiers. IEEE Transactions on Fuzzy Systems 24:6 (2016) 1395-1409. doi: 10.1109/TFUZZ.2016.2516582
  • [2014] S. García, J. Luengo, F. Herrera. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowledge-Based Systems 98 (2016) 1–29. doi: 10.1016/j.knosys.2015.12.006
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [2015] R.M. Rodríguez, B. Bedregal, H. Bustince, Y.C. Dong, B. Farhadinia, C. Kahraman, L. Martínez, V. Torra, Y.J. Xu, Z.S. Xu, F. Herrera. A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress. Information Fusion 29 (2016) 89-97. doi: 10.1016/j.inffus.2015.11.004
  • [2016] S. Vluymans, D. Sánchez-Tarragó, Y. Saeys, C. Cornelis, F. Herrera. Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognition 53 (2016) 36-45. doi: 10.1016/j.patcog.2015.12.002
  • [2017] H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, Z. Xu, B. Bedregal, J. Montero, H. Hagras, F. Herrera, B. De-Baets. A historical account of types of fuzzy sets and their relationships. IEEE Transactions on Fuzzy Systems 24:1 (2016) 179-194. doi: 10.1109/TFUZZ.2015.2451692
  • [2073] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classifiers in the Framework of Imbalanced Datasets. Information Sciences 354 (2016) 178-196. doi: 10.1016/j.ins.2016.02.056 PDF Icon BibTex Icon
  • [2075] D. Peralta, I. Triguero, S. García, F. Herrera, J.M. Benítez. DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases. Information Fusion 32 (2016) 40–51. doi: 10.1016/j.inffus.2016.03.002
  • [2082] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9:1 (2016), 69-80. doi: 10.1080/18756891.2016.1180820 PDF Icon BibTex Icon
  • [2085] A. Fernandez, F. Herrera. Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion, Volume 339 of the series Studies in Fuzziness and Soft Computing (2016) 169-200. doi: 10.1007/978-3-319-30421-2_12 PDF Icon BibTex Icon
  • [2092] A. Fernandez, S. Río, F. Herrera. Sistemas de Clasificación Basados en Reglas Difusas para Big Data con MapReduce: Análisis de la Granularidad. XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy. ESTYLF 2016, San Sebastián (Spain), 1-2, May 25-27, 2016.
  • [2094] A. Fernandez, M. Galar, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classi ers in the Framework of Imbalanced Datasets. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Salamanca (Spain), 1-2, September 14-16, 2016.
  • [2095] A. Fernandez, S. Río, F. Herrera. A First Approach in Evolutionary Fuzzy Systems based on the Lateral Tuning of the Linguistic Labels for Big Data Classification. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), 1-8, July 24-29, 2016.
  • [2099] I. Triguero, M. Galar, D. Merino, J. Maillo, H. Bustince, F. Herrera. Evolutionary Undersampling for Extremely Imbalanced Big Data Classification under Apache Spark. IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver (Canada), 640-647, July 24-29. doi: 10.1109/CEC.2016.7743853
  • [2104] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Fuzzy-Citation-KNN: a fuzzy nearest neighbor approach for multi-instance classification. 2016 IEEE World Congress on Computational Intelligence (WCCI 2016). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), pp.946-952, july 24-29, 2016. PDF Icon
  • [2109] B. Lacroix, D. Molina, F. Herrera. Region-based memetic algorithm with archive for multimodal optimisation. Information Sciences 367-368 (2016) 719-746. doi: 10.1016/j.ins.2016.05.049 BibTex Icon
  • [2138] I. Triguero, J. Maillo, J. Luengo, S. García, F. Herrera. From Big data to Smart Data with the K-Nearest Neighbours algorithm. The 2016 IEEE International Conference on Smart Data (SmartData 2016), Chengdu (China), Dec 16-19, 2016. doi: 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.177 PDF Icon
  • [2162] S. García, S. Ramírez-Gallego, J. Luengo, J.M. Benítez, F. Herrera. Big data preprocessing: methods and prospects. Big Data Analytics 1:9 (2016). doi: 10.1186/s41044-016-0014-0 PDF Icon
  • [2164] Z-L. Zhang, B. Krawczyk, S. García, A. Rosales-Pérez, F. Herrera. Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowledge-Based Systems 106 (2016) 251-263. doi: 10.1016/j.knosys.2016.05.048
  • [2173] S. González, F. Herrera, S. García. Managing Monotonicity in Classification by a Pruned AdaBoost. 11th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2016). Lecture Notes in Computer Science book series (LNCS) 9648, Seville (Spain) 512-523. doi: 10.1007/978-3-319-32034-2_43 PDF Icon
  • [2178] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Discretización Multivariada basada en Selección de Puntos Evolutiva para Clasificación. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), XI Symposio de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), September 14-16, 2016. PDF Icon
  • [2191] S. González, M. Lázaro, A.R. Figueiras-Vidal, S. García, F. Herrera. Intercambio de Clases de acuerdo a la Distancia al Enemigo más Cercano para Problemas con Clases altamente No Balanceadas. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), III Jornadas de Fusión de la Información y ensembles (FINO), Salamanca (Spain), September 14-16, 2016. PDF Icon
  • [2216] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas en una red social de economía colaborativa. Actas del XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2016). Donostia-San Sebastián (Spain), , pp. 96-97, 25-27 Mayo, 2016.. PDF Icon
  • [2217] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Una aproximación difusa del vecino más cercano para clasificación multi-instancia. Actas del XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2016), Donostia-San Sebastián (Spain), pp. 224-225, 25-27 Mayo, 2016.. PDF Icon
  • [2252] P.D. Gutiérrez, M. Lastra, J. Bacardit, J.M. Benítez, F. Herrera. GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Information Sciences 373, 165-182. doi: 10.1016/j.ins.2016.08.089
    COMPLEMENTARY MATERIAL to the paper: experimental results and source codes

  • [2261] X. Yejun, L. Chen, R.M. Rodríguez, F. Herrera, H. Wang. Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making. Knowledge-Based Systems 99 (2016) 71-78. doi: 0950-7051
  • [2267] R. M. Rodríguez, F. Herrera, X. Yejun, L. Martínez. Consistency of hesitant fuzzy preference relations. 12th International FLINS Conference, Roubaix (France), 56-61, August 24–26, 2016. PDF Icon
  • [2279] F. J. Baldan, S. Ramirez-Gallego, C. Bergmeir, J. M. Benitez-Sanchez, F. Herrera. A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Transactions on Cloud Computing, vol.PP, no.99, pp.1-1. doi: 10.1109/TCC.2016.2586064 BibTex Icon
  • [2280] F. J. Baldan, S. Ramirez-Gallego, C. Bergmeir, J. M. Benitez-Sanchez, F. Herrera. A Forecasting Methodology for Workload Forecasting in Cloud Systems. Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA 2016), Salamanca (Spain), pp. 765-766, September 14-16, 2016.


2015 (65)

  • [1699] J. Luengo, F. Herrera. An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowledge and Information Systems 42:1 (2015) 147-180. doi: 10.1007/s10115-013-0700-4 PDF Icon
  • [1683] I. Triguero, S. García, F. Herrera. Self-Labeled Techniques for Semi-Supervised Learning: Taxonomy, Software and Empirical Study. Knowledge and Information Systems 42 (2015) 245-284. doi: 10.1007/s10115-013-0706-y PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1734] V. López, S. Río, J.M. Benítez, F. Herrera. Cost-Sensitive Linguistic Fuzzy Rule Based Classification Systems under the MapReduce Framework for Imbalanced Big Data. Fuzzy Sets and Systems 258 (2015) 5-38. doi: 10.1016/j.fss.2014.01.015 PDF Icon
  • [1769] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera. MRPR: A MapReduce Solution for Prototype Reduction in Big Data Classification. Neurocomputing 150 (2015), 331-345. doi: 10.1016/j.neucom.2014.04.078 PDF Icon
  • [1788] I. Triguero, S. García, F. Herrera. SEG-SSC: A Framework based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Transactions on Cybernetics 45:4 (2015) 622-634. doi: 10.1109/TCYB.2014.2332003 PDF Icon
  • [1790] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015) 3-16. doi: 10.1016/j.neucom.2014.08.091 PDF Icon
  • [1811] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. Pattern Recognition 48 (2015) 28-42. doi: 10.1016/j.patcog.2014.07.023 PDF Icon BibTex Icon
  • [1813] S. Elhag, A. Fernandez, A. Bawakid, S. Alshomrani, F. Herrera. On the Combination of Genetic Fuzzy Systems and Pairwise Learning for Improving Detection Rates on Intrusion Detection Systems. Expert Systems with Applications 42:1 (2015) 193–202. doi: 10.1016/j.eswa.2014.08.002 PDF Icon BibTex Icon
  • [1814] J.A. Sanz, D. Bernardo, F. Herrera, H. Bustince, H. Hagras. A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data. IEEE Transactions on Fuzzy Systems 23:4 (2015) 973-990. doi: 10.1109/TFUZZ.2014.2336263 PDF Icon
  • [1815] Y. Dong, C.-C. Li, F. Herrera. An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Information Sciences 292 (2015) 27-38. doi: 10.1016/j.ins.2014.08.059 PDF Icon
  • [1819] S. Alshomrani, A. Bawakid, S.-O. Shim, A. Fernandez, F. Herrera. A Proposal for Evolutionary Fuzzy Systems using Feature Weighting: Dealing with Overlapping in Imbalanced Datasets. Knowledge-Based Systems 73 (2015) 1-17. doi: 10.1016/j.knosys.2014.09.002 PDF Icon BibTex Icon
  • [1824] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera. SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Information Sciences 291 (2015) 184-203. doi: 10.1016/j.ins.2014.08.051 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1834] H. Bustince, J. Fernandez, H. Hagras, F. Herrera. Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1876-1882. doi: 10.1109/TFUZZ.2014.2362149 PDF Icon
  • [1843] M. Elkano, M. Galar, J.A. Sanz, A. Fernandez, E. Barrenechea, F. Herrera, H. Bustince. Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1562-1580. doi: 10.1109/TFUZZ.2014.2370677 PDF Icon BibTex Icon
  • [1845] Y. Dong, X. Chen, F. Herrera. Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making. Information Sciences 297 (2015) 95–117. doi: 10.1016/j.ins.2014.11.011 PDF Icon
  • [1846] E. Ramentol, S. Vluymans, N. Verbiest, Y. Caballero, R. Bello, C. Cornelis, F. Herrera. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1622-1637. doi: 10.1109/TFUZZ.2014.2371472 PDF Icon
  • [1860] S. Río, V. López, J.M. Benítez, F. Herrera. A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. International Journal of Computational Intelligence Systems 8:3 (2015) 422-437. doi: 10.1080/18756891.2015.1017377 PDF Icon
  • [1863] A. Fernandez, V. López, M.J. del Jesus, F. Herrera. Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, New Trends and Challenges. Knowlegde Based Systems 80 (2015) 109–121. doi: 10.1016/j.knosys.2015.01.013 PDF Icon BibTex Icon
  • [1890] M. Galar, J. Derrac, D. Peralta, I. Triguero, D. Paternain, C. Lopez-Molina, S. García, J.M. Benítez, M. Pagola, E. Barrenechea, H. Bustince, F. Herrera. A Survey of Fingerprint Classification Part I: Taxonomies on Feature Extraction Methods and Learning Models. Knowledge-Based Systems 81 (2015) 76-97. doi: 10.1016/j.knosys.2015.02.008
  • [1891] M. Galar, J. Derrac, D. Peralta, I. Triguero, D. Paternain, C. Lopez-Molina, S. García, J.M. Benítez, M. Pagola, E. Barrenechea, H. Bustince, F. Herrera. A Survey of Fingerprint Classification Part II: Experimental Analysis and Ensemble Proposal. Knowledge-Based Systems 81 (2015) 98-116. doi: 10.1016/j.knosys.2015.02.015
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1897] Ning Xiong, D. Molina, Miguel Leon Ortiz, F. Herrera. A Walk into Metaheuristic for Engineering Optimization: Principles, Methods and Recent Trends. International Journal of Computational Intelligence Systems 8:4 (2015) 606-636. doi: 10.1080/18756891.2015.1046324
  • [1921] D. Peralta, M. Galar, I. Triguero, D. Paternain, S. García, E. Barrenechea, J. M. Benítez, H. Bustince, F. Herrera. A Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluation. Information Sciences 315 (2015) 67-87. doi: 10.1016/j.ins.2015.04.013
    COMPLEMENTARY MATERIAL to the paper: experimental results and statistical tests

  • [1926] I. Triguero, S. Río, V. López, J. Bacardit, J.M. Benítez, F. Herrera. ROSEFW-RF: The winner algorithm for the ECBDL'14 Big Data Competition: An extremely imbalanced big data bioinformatics problem. Knowledge-Based Systems 87 (2015) 69-79. doi: 10.1016/j.knosys.2015.05.027 PDF Icon
  • [1929] L. Septem, C. Bergmeir, F. Herrera, J.M. Benítez. frbs: Fuzzy Rule-Based Systems for Classification and Regression in R. Statistical Software 65:6 (2015). doi: 10.18637/jss.v065.i06
  • [1930] I. Triguero, M. Galar, S. Vluymans, C. Cornelis, H. Bustince, F. Herrera, Y. Saeys. Evolutionary Undersampling for Imbalanced Big Data Classification. IEEE Congress on Evolutionary Computation (CEC 2015), Sendai (Japan), 715-722, May 25-28, 2015. PDF Icon
  • [1937] B. Krawczyk, M. Wozniak, F. Herrera. On the Usefulness of One-Class Classifier Ensembles for Decomposition of Multi-Class Problems. Pattern Recognition 48:12 (2015) 3969-3982. doi: 10.1016/j.patcog.2015.06.001
  • [1938] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Applied Soft Computing 35 (2015) 949-957. doi: 10.1016/j.asoc.2015.01.030 PDF Icon BibTex Icon
  • [1939] D. Peralta, S. Río, S. Ramírez-Gallego, I. Triguero, J.M. Benítez, F. Herrera. Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach. Mathematical Problems in Engineering, vol. 2015, Article ID 246139 (2015) 11 pages. doi: 10.1155/2015/246139
  • [1950] J. Maillo, I. Triguero, F. Herrera. A MapReduce-based k-Nearest Neighbor Approach for Big Data Classification. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 167-172, August 20-22, 2015.. doi: 10.1109/Trustcom.2015.577
  • [1951] D. Galpert, S. Río, F. Herrera, E. Ancede, A. Antunes, G. Agüero-Chapin. An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species. BioMed Research International (2015) 12 pages, Article Id 748681. doi: 10.1155/2015/748681 PDF Icon
  • [1952] S. Río, J.M. Benítez, F. Herrera. Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. The 9th IEEE International Conference on Big Data Science and Engineering(IEEE BigDataSE-15), Helsinki, Finland, 20-22 August, 2015. PDF Icon
  • [1958] P. Villar, A. Fernández, R. Montes, A.M. Sánchez, F. Herrera. Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turkey) august 2-5, 2015.
  • [1963] L.P.F. Garcia, José A. Sáez, J. Luengo, A.C. Lorena, A.C. de Carvalho, F. Herrera. Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowledge-Based Systems 90 (2015) 153-164. doi: 10.1016/j.knosys.2015.09.023 PDF Icon
  • [1967] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. MLSMOTE: Approaching Imbalanced Multilabel Learning Through Synthetic Instance Generation. Knowledge-Based Systems 89 (2015) 385-397. doi: 10.1016/j.knosys.2015.07.019
  • [1980] S. González, F. Herrera, S. García. Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity. New Generation Computing 33:4 (2015) 367-388. doi: 10.1007/s00354-015-0402-4 BibTex Icon
  • [1981] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. V Symposium of Fuzzy Logic and Soft Computing (LODISCO 2015) - CAEPIA 2015, Albacete (España), pp. 1-2, 09-12 Noviembre 2015.
  • [1982] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, H. Bustince, F. Herrera. Mejorando los Sistemas Difusos Evolutivos para Problemas Multi-Clase: Ponderando la Competencia en el Modelo Uno-contra-Uno con Truncado de las Con fianzas. II Symposium on Information Fusion and ensembles (FINO 2015) - CAEPIA 2015, Albacete (España), pp. 1-10, 09-12 Noviembre 2015.
  • [1983] M. Galar, A. Fernández, E. Barrenechea, H. Bustince, F. Herrera. Nuevas Metricas sobre Poda basada en Orden para Ensembles de Clasi cadores en Conjuntos de Datos No Balanceados. II Symposium on Information Fusion and ensembles (FINO 2015) - CAEPIA 2015, Albacete (España), pp. 1-10, 09-12 Noviembre 2015.
  • [1984] A. Fernandez, M. Galar, J.A. Sanz, H. Bustince, O. Cordón, F. Herrera. On the Impact of Distance-based Relative Competence Weighting Approach in One-vs-One Classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turquía) pp. 15124-15131, 02-05 Agosto 2015.
  • [1989] D. Peralta, I. Triguero, Y. Saeys, S. García, J.M. Benítez, F. Herrera. Clasificación Jerárquica de Huellas Dactilares con Selección de Características. VII Symposium of Theory and Applications of Data Mining (TAMIDA), CAEPIA 2015, Albacete (España), pp. 831-840, 09-12 Noviembre 2015.
  • [1988] S. Río, J.M. Benítez, F. Herrera. Preprocesamiento de Datos mediante el Incremento de la Tasa de Sobremuestreo para Problemas de Big Data Extremadamente Desbalanceados. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), Albacete (Spain), 10 pages, 9-12 November, 2015. PDF Icon
  • [1999] A. Fernandez, M.J. del Jesus, F. Herrera. Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. 16th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2015), Lecture Notes in Computer Science (LNCS) 9375, Wroclaw (Poland), 36-44, October 14-16, 2015. PDF Icon
  • [2000] A. Fernandez, M. Galar, J.A. Sanz, H. Bustince, F. Herrera. Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. 16th World Congress of the International Fuzzy Systems Association (IFSA), 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Gijón (Spain) 1020-1026, June 30, July 03, 2015. PDF Icon
  • [2001] P. Villar, A. Fernandez, F. Herrera. On the combination of pairwise and granularity learning for improving fuzzy rule based classi cation systems: GL-FARCHD-OVO. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015. PDF Icon
  • [2002] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. New Ordering-Based Pruning Metrics for Ensembles of Classi ers in Imbalanced Datasets. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015. PDF Icon
  • [2003] J. Maillo, I. Triguero, F. Herrera. Un enfoque MapReduce del algoritmo de clasificación k-vecinos más cercanos para Big Data. 1er Workshop en Big Data y Análisis de Datos Escalable (BigDADE I), Albacete (España), 9-12 noviembre 2015. PDF Icon
  • [2012] L. Martinez, R.M. Rodriguez, F. Herrera. The 2-tuple Linguistic Model: Computing with Words in Decision Making. Springer (2015).
  • [2048] F. Herrera, E. Herrera-Viedma, L. Martínez. Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios. Enric Trillas: A Passion for Fuzzy Sets. A Collection of Recent Works on Fuzzy Logic. ISBN: 978-3-319-16234-8.. doi: 10.1007/978-3-319-16235-5_19
  • [2056] M. Lastra, J. Carabaño, P.D. Gutiérrez, J.M. Benítez, F. Herrera. Fast fingerprint identification using GPUs. Information Sciences. 301 (2015) 195-214. doi: doi:10.1016/j.ins.2014.12.052
  • [2057] S. González, F. Herrera, S. García. Managing Monotonicity in Classification by a Pruned Random Forest. Intelligent Data Engineering and Automated Learning (IDEAL 2015), Lecture Notes in Computer Science (LNCS) 9375, 53-60, 2015. doi: 10.1007/978-3-319-24834-9_7 PDF Icon
  • [2058] M. Lázaro, F. Herrera, A.R. Figueiras-Vidal. Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. Engineering Applications of Neural Networks. Volume 517 of the series Communications in Computer and Information Science pp 304-314 (2015). doi: 10.1007/978-3-319-23983-5_28
  • [2060] S. García, J. Luengo, F. Herrera. Data Preprocessing in Data Mining. Intelligent Systems Reference Library. Series Editors: Kacprzyk, Janusz, Jain, Lakhmi C. ISSN: 1868-4394.
  • [2061] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015) 3-16. doi: doi:10.1016/j.neucom.2014.08.091
  • [2062] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), IEEE. 8-11 Sept. 2015 Slamanca. 1-6. doi: 10.1109/EUROCON.2015.7313677
  • [2063] S. Ramírez-Gallego, S. Garcia, H. Mourino-Talin, D. Martinez-Rego, V. Bolon-Canedo, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 33-40, August 20-22, 2015. doi: 10.1109/Trustcom.2015.559
  • [2064] R.M. Rodriguez, L. Martinez, F. Herrera. A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information. Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on Istanbul. 2-5 Aug. 2015. 1-7. doi: 10.1109/FUZZ-IEEE.2015.7338016
  • [2065] J. Derrac, F. Chiclana, S. García, F. Herrera. An Interval Valued K-Nearest Neighbors Classifier. Proceedings of the International Joint Conference IFSA-EUSFLAT-2015, Gijón, Asturias (Spain). doi: doi:10.2991/ifsa-eusflat-15.2015.55
  • [2066] F. Herrera. Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. Hybrid Artificial Intelligent Systems: 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015.
  • [2067] D. Molina, F. Herrera. Iterative hybridization of DE with local search for the CEC'2015 special session on large scale global optimization. Evolutionary Computation (CEC), 2015 IEEE Congress on Sendai. 25-28 May 2015 1974-1978. doi: 10.1109/CEC.2015.7257127
  • [2069] D. Galpert, S. Río, F. Herrera, E. Ancede, A. Antunes, G. Agüero-Chapin. Pairwise Ortholog Detection in Related Yeast Species by Using Big Data Supervised Classifications. MOL2NET, the 1st International Conference on Multidisciplinary Sciences, Sciforum Electronic Conference Series, Vol. 1, 1-10, December 5–15, 2015. doi: 10.3390/MOL2NET-1-e002 PDF Icon
  • [2168] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. In: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. doi: 10.1007/978-3-319-26227-7_5 PDF Icon
  • [2175] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J. M. Benítez, A. Alonso-Betanzos, F. Herrera. Un Framework de Selección de Características basado en la Teoría de la Información para Big Data sobre Apache Spark. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), 1er Workshop en Big Data y Análisis de Datos Escalable, November 9-12, 2015. PDF Icon
  • [2185] F. Rojas Ruiz, A. Cano, M. Gomez Olmedo, J. Ortega Lopera, F. Herrera, R. Romero Zaliz, J. Gonzalez Peñalver. Máster en Ciencia de Datos e Ingeniería de Computadores: una apuesta por la formación especializada en el sector de las TIC. Journal of Educational Experiences on Computer Engineering (JEECE), Volumen 5, Numero 1, pp. 5-16, 2015, ISSN 2173-8688, Universidad de Granada, Departamento de Arquitectura y Tecnologia de Computadoras.
  • [2192] S. González, F. Herrera, S. García. Clasificación Monotónica mediante poda de Bosques Aleatorios. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Albacete (Spain), November 9-12, 2015. PDF Icon
  • [2255] P.D. Gutiérrez, M. Lastra, J. Bacardit, J.M. Benítez, F. Herrera. GPU-SME-kNN: kNN escalable y eficiente en memoria utilizando GPU. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), Albacete (Spain), pp. 959-968, 09-12 November, 2015. PDF Icon


2014 (46)

  • [1698] J. Derrac, S. García, F. Herrera. Fuzzy Nearest Neighbor Algorithms: Taxonomy, Experimental analysis and Prospects . Information Sciences 260 (2014) 98-119. doi: 10.1016/j.ins.2013.10.038 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1557] José A. Sáez, M. Galar, J. Luengo, F. Herrera. Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition. Knowledge and Information Systems 38:1 (2014) 179-206. doi: 10.1007/s10115-012-0570-1 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1588] V. López, I. Triguero, C.J. Carmona, S. García, F. Herrera. Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID. Neurocomputing 126 (2014) 15-28. doi: 10.1016/j.neucom.2013.01.050 PDF Icon
  • [1642] I. Palomares, L. Martínez, F. Herrera. A Consensus Model to Detect and Manage Non-Cooperative Behaviors in Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 22:3 (2014) 516–530. doi: 10.1109/TFUZZ.2013.2262769 PDF Icon
  • [1646] I. Triguero, José A. Sáez, J. Luengo, S. García, F. Herrera. On the Characterization of Noise Filters for Self-Training Semi-Supervised in Nearest Neighbor Classification. Neurocomputing 132 (2014) 30-41. doi: 10.1016/j.neucom.2013.05.055 PDF Icon
  • [1659] I. Palomares, L. Martínez, F. Herrera. MENTOR: A Graphical Monitoring Tool of Preferences Evolution in Large-Scale Group Decision Making. Knowledge-based Systems 58 (2014) 66–74. doi: 10.1016/j.knosys.2013.07.003 PDF Icon
  • [1670] D. Peralta, I. Triguero, R. Sanchez-Reillo, F. Herrera, J.M. Benítez. Fast Fingerprint Identification for Large Databases. Pattern Recognition 47:2 (2014) 588–602. doi: 10.1016/j.patcog.2013.08.002
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1672] V. López, A. Fernandez, F. Herrera. On the Importance of the Validation Technique for Classification with Imbalanced Datasets: Addressing Covariate Shift when Data is Skewed. Information Sciences 257 (2014) 1-13. doi: 10.1016/j.ins.2013.09.038 PDF Icon BibTex Icon
  • [1673] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules. Information Sciences 258 (2014) 1-28. doi: 10.1016/j.ins.2013.09.009 PDF Icon BibTex Icon
  • [1674] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. A New Multi-Objective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Transactions on Evolutionary Computation 18:1 (2014) 54-69. doi: 10.1109/TEVC.2013.2285016 PDF Icon BibTex Icon
  • [1708] F. Charte Ojeda, A. Rivera, M.J. del Jesus, F. Herrera. LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multi-label Classification. IEEE Transactions on Neural Networks and Learning Systems, 25:10 (2014) 1842-1854. doi: 10.1109/TNNLS.2013.2296501 PDF Icon
  • [1742] S. Río, V. López, J.M. Benítez, F. Herrera. On the use of MapReduce for Imbalanced Big Data using Random Forest. Information Sciences 285 (2014) 112-137. doi: 10.1016/j.ins.2014.03.043 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1703] P.D. Gutiérrez, M. Lastra, F. Herrera, J.M. Benítez. A high performance fingerprint matching system for large databases based on GPU. IEEE Transactions on Information Forensics and Security 9:1 (2014) 62-71. doi: 10.1109/TIFS.2013.2291220
  • [1706] B. Lacroix, D. Molina, F. Herrera. Region based memetic algorithm for real-parameter optimisation. Information Sciences, 262 (2014) 15-31. doi: 10.1016/j.ins.2013.11.032 PDF Icon
  • [1709] M, Galar, A. Fernandez, E. Barrenechea, F. Herrera. Empowering difficult classes with a Similarity-based aggregation in multi-class classification problems. Information Sciences 264 (2014) 135-157. doi: 10.1016/j.ins.2013.12.053 PDF Icon BibTex Icon
  • [1716] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Diseño de un Sistema de Clasificación Basado en Reglas Difusas para one-class mediante el aprendizaje genético de la base de datos. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 621-626, 5-7 Febrero, 2014. PDF Icon
  • [1791] José A. Sáez, J. Derrac, J. Luengo, F. Herrera. Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognition 47:12 (2014) 3941–3948. doi: 10.1016/j.patcog.2014.06.012 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1732] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences 276 (2014) 63-79. doi: 10.1016/j.ins.2014.02.047
  • [1736] D.S. Tarragó, C. Cornelis, R. Bello, F. Herrera. A Multi-Instance Learning Wrapper based on the Rocchio Classifier for Web Index Recommendation. Knowledge-Based Systems 59 (2014) 173-181. doi: 10.1016/j.knosys.2014.01.008
  • [1740] D. Peralta, M. Galar, I. Triguero, O. Miguel-Hurtado, J.M. Benítez, F. Herrera. Minutiae Filtering to Improve Both Efficacy and Efficiency of Fingerprint Matching Algorithms. Engineering Applications of Artificial Intelligence, 32 (2014) 37-53. doi: 10.1016/j.engappai.2014.02.016
  • [1741] Nicolás Robinson-García, Daniel Torres-Salinas, Emilio Delgado López-Cózar, F. Herrera. An insight into the importance of national university rankings in an international context: The case of the I-UGR Rankings of Spanish universities. Scientometrics 101 (2014) 1309–1324. doi: 10.1007/s11192-014-1263-1
  • [1763] R.M. Rodríguez, L. Martínez, V. Torra, Z.S. Xu, F. Herrera. Hesitant Fuzzy Sets: State of the Art and Future Directions. International Journal of Intelligent Systems 29 (2014) 495-524. doi: 10.1002/int.21654 PDF Icon
  • [1764] I. Palomares, F.J. Estrella, L. Martínez, F. Herrera. Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Information Fusion 20 (2014) 252-271. doi: 10.1016/j.inffus.2014.03.002 PDF Icon
  • [1766] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowledge Discovevery 4 (2014), 87-103. doi: 10.1002/widm.1118 PDF Icon
  • [1772] V. Bolón-Canedo, N. Sánchez-Maroño, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. A review of microarray datasets and applied feature selection methods. Information Sciences 282 (2014) 111-135. doi: 10.1016/j.ins.2014.05.042 PDF Icon
  • [1773] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera. Preprocessing Noisy Imbalanced Datasets using SMOTE enhanced with Fuzzy Rough Prototype Selection. Applied Soft Computing 22 (2014) 511-517. doi: 10.1016/j.asoc.2014.05.023 PDF Icon
  • [1782] A. Fernandez, D. Peralta, J.M. Benítez, F. Herrera. E-learning and educational data mining in cloud computing: an overview. International Journal of Learning Technology, 9:1 (2014) 25-52. PDF Icon
  • [1789] F.J. Estrella, M. Espinilla, F. Herrera, L. Martínez. FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Information Sciences 280 (2014) 152-170. doi: 10.1016/j.ins.2014.04.049 PDF Icon
  • [1792] José A. Sáez, J. Derrac, J. Luengo, F. Herrera. Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes. Hybrid Artificial Intelligent Systems 2014 (HAIS 2014), Lecture Notes in Computer Science Volume 8480, 2014, pp 597–606. PDF Icon
  • [1794] J. Derrac, S. García, S. Hui, P. N. Suganthan, F. Herrera. Analyzing convergence performance of evolutionary algorithms: A statistical approach. Information Sciences 289 (2014) 41-58. doi: 10.1016/j.ins.2014.06.009 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1803] V. López, S. Río, J.M. Benítez, F. Herrera. On the use of MapReduce to build Linguistic Fuzzy Rule Based Classification Systems for Big Data. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp. 1905-1912, 6-11 July, 2014. PDF Icon
  • [1804] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Designing a compact Genetic Fuzzy Rule-Based System for One-Class Classification. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp.2163-2170, july 6-11, 2014. PDF Icon
  • [1805] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas para una consultora de inmuebles. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 181-186, 5-7 Febrero, 2014. PDF Icon
  • [1806] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera. A Combined MapReduce-Windowing Two-Level Parallel Scheme for Evolutionary Prototype Generation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp. 3036-3043, 2014. doi: 10.1109/CEC.2014.6900490
  • [1807] B. Krawczyk, I. Triguero, S. García, M. Wozniak, F. Herrera. A First Attempt on Evolutionary Prototype Reduction for Nearest Neighbor One-Class Classification.. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp 747-753, 2014.
  • [1809] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Enhancing Difficult Classes in One-vs-One Classifier Fusion Strategy using Restricted Equivalence Functions. In Proceedings of the 17th International Conference on Information Fusion (FUSION'2014), SS07-DMKDIF, pp. 1-8 Salamanca (Spain), 7-10 July 2014. PDF Icon
  • [1810] A. Fernandez, S. Río, V. López, A. Bawakid, M.J. del Jesus, J.M. Benítez, F. Herrera. Big Data with Cloud Computing: An Insight on the Computing Environment, MapReduce and Programming Frameworks. WIREs Data Mining and Knowledge Discovery 4:5 (2014) 380-409. doi: 10.1002/widm.1134 PDF Icon BibTex Icon
  • [1812] D. Molina, B. Lacroix, F. Herrera. Influence of Regions on the Memetic Algorithm for the Special Session on Real-Parameter Single Objetive Optimisation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Beijing (China), 6-11 July, 2014, pp. 1633-1640..
  • [1816] M. Fazzolari, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Method for Learning Granularities based on Fuzzy Discretization to Improve the Accuracy-Complexity trade-off of Fuzzy Rule-Based Classification Systems: D-MOFARC Algorithm. Applied Soft Computing 24 (2014) 470-481. PDF Icon
  • [1817] L. S. Riza, Andrzej Janusz, C. Bergmeir, C. Cornelis, F. Herrera, Dominik Slezak, J.M. Benítez. Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Information Sciences 287 (2014) 68-89.
  • [1818] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. Un nuevo algoritmo Evolutivo Multi-Objetivo para la extracción de Reglas de Asociación Cuantitativas Positivas y Negativas. In: D.A. Pelta, R. Pérez, C. Cruz, J.L. Verdegay (eds.): Contribuciones en Soft Computing, Universidad de Granada, 2014, 1-16. ISBN 978-84-338-5672-2. PDF Icon
  • [1828] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera. Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. Intelligent Data Engineering and Automated Learning 2014 (IDEAL 2014), Lecture Notes in Computer Science Volume 8669, 2014, pp 61-68. PDF Icon
  • [1895] F. Herrera. Big data: Procesando los datos en la sociedad digital. Revista de Física 28:4 (2014) 40-44. PDF Icon
  • [2059] B. Krawczyk, M. Wozniak, F. Herrera. Weighted one-class classification for different types of minority class examples in imbalanced data. Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on Orlando, FL. 9-12 Dec. 2014. 337-344. doi: 10.1109/CIDM.2014.7008687
  • [2181] I. Triguero, S. García, F. Herrera, Y. Saeys. Improving disease prediction using unlabeled and synthetic samples. 9th Benelux Bioinformatics Conference, Bioinformatics: Integrating data, teams and disciplines. Novotel-Kirchberg (Luxembourg), December 8-9, 2014.
  • [2182] S. García, J. Derrac, S. Ramírez-Gallego, F. Herrera. On the statistical analysis of the parameters’ trend in a machine learning algorithm. Progress in Artificial Intelligence 3:1 (2014) 51-53. doi: 10.1007/s13748-014-0043-8


2013 (32)

  • [1700] I. Triguero, S. García, F. Herrera. Tri-Training con sobremuestreo para aprendizaje semi-supervisado. Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp 149-158 , 17-20 Septiembre, 2013.
  • [1469] S. García, J. Luengo, José A. Sáez, V. López, F. Herrera. A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Transactions on Knowledge and Data Engineering 25:4 (2013) 734-750. doi: 10.1109/TKDE.2012.35 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1539] José A. Sáez, J. Luengo, F. Herrera. Predicting Noise Filtering Efficacy with Data Complexity Measures for Nearest Neighbor Classification. Pattern Recognition 46:1 (2013) 355-364. doi: 10.1016/j.patcog.2012.07.009 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1521] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera. A Review of the Application of Multi-Objective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Transactions on Fuzzy Systems, 21:1 (2013) 45-65.
    COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc

  • [1537] J. Derrac, N. Verbiest, S. García, C. Cornelis, F. Herrera. On the use of Evolutionary Feature Selection for Improving Fuzzy Rough Set Based Prototype Selection. Soft Computing 17:2 (2013) 223-238. doi: 10.1007/s00500-012-0888-3 PDF Icon
  • [1554] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. A Hierarchical Genetic Fuzzy System Based On Genetic Programming for Addressing Classification with Highly Imbalanced and Borderline Data-sets. Knowledge-Based Systems 38 (2013) 85-104. doi: 10.1016/j.knosys.2012.08.025 PDF Icon BibTex Icon
  • [1570] D. Torres-Salinas, N. Robinson-García, E. Jiménez-Contreras, F. Herrera, E. Delgado López-Cózar. On the Use of Biplot Analysis for Multivariate Bibliometric and Scientific Indicators. Journal of the American Society for Information Science and Technology 64:7 (2013) 1468-1479. PDF Icon
  • [1587] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection. IEEE Transactions on Fuzzy Systems 21:3 (2013) 399-411. doi: 10.1109/TFUZZ.2013.2243153 PDF Icon BibTex Icon
  • [1594] A. Fernandez, V. López, M. Galar, M.J. del Jesus, F. Herrera. Analysing the Classification of Imbalanced Data-sets with Multiple Classes: Binarization Techniques and Ad-Hoc Approaches. Knowledge-Based Systems 42 (2013) 97-110. doi: 10.1016/j.knosys.2013.01.018 PDF Icon BibTex Icon
  • [1634] N. Verbiest, C. Cornelis, F. Herrera. FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognition 46:10 (2013) 2770-2782. doi: 10.1016/j.patcog.2013.03.004 PDF Icon
  • [1635] R.M. Rodriguez, L. Martínez, F. Herrera. A Group Decision Making Model Dealing with Comparative Linguistic Expressions based on Hesitant Fuzzy Linguistic Term Sets. Information Sciences 241 (2013) 28–42. doi: 10.1016/j.ins.2013.04.006 PDF Icon
  • [1641] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. EUSBoost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling. Pattern Recognition 46:12 (2013) 3460–3471. doi: j.patcog.2013.05.006 PDF Icon BibTex Icon
  • [1643] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Dynamic Classifier Selection for One-vs-One Strategy: Avoiding Non-Competent Classifiers. Pattern Recognition 46:12 (2013) 3412–3424. doi: j.patcog.2013.04.018 PDF Icon BibTex Icon
  • [1651] D. Martín, A. Rosete, J. Alcalá-Fdez and F. Herrera. MOPNAR: Algoritmo Evolutivo Multi-Objetivo para Extraer Reglas de Asociación Cuantitativas Positivas y Negativas. Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013), Madrid (España), pp. 882-891, 17-20 Septiembre, 2013. PDF Icon
  • [1655] José A. Sáez, M. Galar, J. Luengo, F. Herrera. Tackling the Problem of Classification with Noisy Data using Multiple Classifier Systems:Analysis of the Performance and Robustness. Information Sciences 247 (2013) 1-20. doi: 10.1016/j.ins.2013.06.002 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1657] V. López, A. Fernandez, S. García, V. Palade, F. Herrera. An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics. Information Sciences 250 (2013) 113-141. doi: 10.1016/j.ins.2013.07.007 PDF Icon BibTex Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1661] L.S. Riza, C. Bergmeir, F. Herrera, and J.M. Benítez. Constructing fuzzy rule-based systems with the R package frbs. Proceedings useR! 2013, July 10-12, Albacete (Spain).
  • [1663] B. Lacroix, D. Molina, F. Herrera. Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun (Mexico), pp 1945-1951. doi: 10.1109/CEC.2013.6557797
  • [1664] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera. Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. Actas en Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun (Mexico), pp 87-94. doi: 10.1109/CEC.2013.6557557
  • [1675] J. Derrac, S. García, Sheldon Hui , F. Herrera, Ponnuthurai N. Suganthan. Statistical Analysis of Convergence Performance Throughout the Evolutionary Search: A Case Study with SaDE-MMTS and Sa-EPSDE-MMTS. 2013 IEEE Symposium on Differential Evolution (SDE), Singapore, pp. 151-156, April 16-19, 2013. PDF Icon
  • [1676] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-7, 7-10 July 2013.
  • [1680] M. Fazzolari, B. Giglio, R. Alcalá, F. Marcelloni, F. Herrera. A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowledge-Based Systems 54 (2013) 32-41. doi: 10.1016/j.knosys.2013.07.011
  • [1682] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera. Improving a Fuzzy Association Rule-Based Classification Model by Granularity Learning based on Heuristic Measures over Multiple Granularities. 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2013), pp. 44-51, 2013.. PDF Icon
  • [1684] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Un Algoritmo Genético para aprendizaje de Sistemas de Clasificación Basados en Reglas Difusas dentro del paradigma one-class . Actas del IV Simposio sobre Lógica Fuzzy y Soft Computing, dentro del IV Congreso Español de Informática (CEDI 2013), Madrid (Spain), pp. 1105-1114, 17-20 de septiembre de 2013.
  • [1704] V. López, A. Fernandez, F. Herrera. Addressing Covariate Shift for Genetic Fuzzy Systems Classifiers: A Case of Study with FARC-HD for Imbalanced Datasets. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-8, 7-10 July 2013. PDF Icon
  • [1705] S. Río, V. López, J.M. Benítez, F. Herrera. Aplicando Métodos de Aprendizaje Sensible al Coste para Mejorar Problemas de Big Data Extremadamente Desbalanceados Usando Random Forest. IV Congreso Español de Informática (CEDI 2013). XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp. 109-118, 17-20 September, 2013. PDF Icon
  • [1743] José A. Sáez, Mikel Galar, J. Luengo, F. Herrera. An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. Hybrid Artificial Intelligent Systems 2013 (HAIS 2013), Lecture Notes in Computer Science Volume 8073, 2013, pp 568-577 .
  • [1748] N. Verbiest, C. Cornelis, F. Herrera. OWA-FRPS: A Prototype Selection method based on Ordered Weighted Average Fuzzy Rough Set Theory. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 180-190, 2013.. PDF Icon
  • [1749] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Selección dinámica de clasificadores para la estrategia Uno-contra-Uno: Evitando los clasificadores no competentes. FINO 2013 (CEDI 2013), Madrid (España), pp. 1469-1478, 17-20 Septiembre 2013. PDF Icon
  • [1750] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Una debilidad de la estrategia Uno-contra-Uno en clasificación: Potenciando las clases difíciles. CAEPIA 2013 (CEDI 2013), Madrid (España), pp. 1333-1342, 17-20 Septiembre 2013. PDF Icon
  • [1793] J. G. Moreno-Torres, José A. Sáez, F. Herrera. A methodology to improve single-experimet k-fold Cross-Validation by reducing the impact of related dataset shift. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). VI Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2013), Madrid (Spain), 1393-1402, 2013..
  • [1835] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera. Optimización basada en Malla Variable para funciones multimodales. Actas de la Multiconferencia CAEPIA 2013, IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB13), Madrid, 17-20 Septiembre 2013, pp 594-603..


2012 (51)

  • [1425] J. G. Moreno-Torres, T. R. Raeder, R. Aláiz-Rodríguez, N. V. Chawla, F. Herrera. A unifying view on dataset shift in classification. Pattern Recognition 45:1 (2012) 521-530. doi: 10.1016/j.patcog.2011.06.019 PDF Icon
  • [1241] E. Pérez, M. Posada, F. Herrera. Analysis of New Niching Genetic Algorithms for Finding Multiple Solutions in the Job Shop Scheduling. Journal of Intelligent Manufacturing 23:3 (2012) 341-356. doi: 10.1007/s10845-010-0385-4 PDF Icon
  • [1328] M.J. Gacto, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence 36:2 (2012) 330-347. doi: 10.1007/s10489-010-0264-x PDF Icon
  • [1336] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, G. Olague, F. Herrera. Hybrid Laser Pointer Detection Algorithm Based on Template Matching and Fuzzy Rule-Based Systems for Domotic Control in Real Home Enviroments. Applied Intelligence 36:2 (2012) 407-423. doi: 10.1007/s10489-010-0268-6 PDF Icon
  • [1365] I. Triguero, J. Derrac, S. García, F. Herrera. A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 42 (1) (2012) 86-100. doi: 10.1109/TSMCC.2010.2103939 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1372] S. García, J. Derrac, I. Triguero, C.J. Carmona, F. Herrera. Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification. Knowledge Based Systems 25:1 (2012) 3-12. doi: 10.1016/j.knosys.2011.01.012 PDF Icon
  • [1408] J. Luengo, S. García, F. Herrera. On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowledge and Information Systems 32:1 (2012) 77-108. doi: 10.1007/s10115-011-0424-2 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software, data sets, results and methods description

  • [1409] S. García, J. Derrac, J.R. Cano, F. Herrera. Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions on Pattern Analysis and Machine Intelligence 34:3 (2012) 417-435. doi: 10.1109/TPAMI.2011.142 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1414] J. Marín, D. Molina, F. Herrera. Modeling Dynamics of a Real-coded CHC Algorithm in Terms of Dynamical Probability Distributions. Soft Computing 16:2 (2012) 331-351. doi: 10.1007/s00500-011-0745-9 PDF Icon
  • [1422] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches. IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews 42:4 (2012) 463-484. doi: 10.1109/TSMCC.2011.2161285 PDF Icon
  • [1428] J. Derrac, C. Cornelis, S. García, F. Herrera. Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection. Information Sciences 186:1 (2012) 73-92. doi: 10.1016/j.ins.2011.09.027 PDF Icon
  • [1429] J. Luengo, F. Herrera. Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2012) 43-65. doi: 10.1016/j.ins.2011.09.022 PDF Icon
  • [1430] J. Luengo, José A. Sáez, F. Herrera. Missing data imputation for Fuzzy Rule Based Classifi cation Systems. Soft Computing 16 (2012) 863–881. doi: 10.1007/s00500-011-0774-4 PDF Icon
  • [1431] R.M. Rodríguez, L. Martínez, F. Herrera. Hesitant Fuzzy Linguistic Terms Sets for Decision Making. IEEE Transactions on Fuzzy Systems 20:1 (2012) 109-119. doi: 10.1109/TFUZZ.2011.2170076 PDF Icon
  • [1432] M.J. Cobo, A.G. López-Herrera, F. Herrera, E. 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, pp. 413-420 (2012). doi: 10.1109/TITS.2011.2167968 PDF Icon
  • [1433] Amilkar Puris, Rafael Bello, D. Molina, F. Herrera. Variable mesh optimization for continuous optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications (2012), 16(3), 511-525. doi: 10.1007/s00500-011-0753-9 PDF Icon
  • [1434] E. Ramentol, Y. Caballero, R. Bello, F. Herrera. SMOTE-RSB*: A Hybrid Preprocessing Approach based on Oversampling and Undersampling for High Imbalanced Data-Sets using SMOTE and Rough Sets Theory. Knowledge and Information Systems 33:2 (2012) 245-265. doi: 10.1007/s10115-011-0465-6 PDF Icon
  • [1442] H. Bustince, M. Pagola, R. Mesiar, E. Hullermeier, F. Herrera. Grouping, Overlap and Generalized Bi-Entropic Functions for Fuzzy Modeling of Pairwise Comparisons. IEEE Transactions on Fuzzy Systems 20:3 (2012) 405-415. doi: 10.1109/TFUZZ.2011.2173581 PDF Icon
  • [1452] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 265-270, 1-3 Febrero 2012. PDF Icon
  • [1478] M.J. Gacto, R. Alcalá, F. Herrera. Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 295-300, 1-3 Febrero 2012.
  • [1485] V. López, A. Fernandez, J. G. Moreno-Torres, F. Herrera. Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Systems with Applications 39:7 (2012) 6585-6608. doi: 10.1016/j.eswa.2011.12.043 PDF Icon
  • [1496] N. Verbiest, C. Cornelis, F. Herrera. Selección de Prototipos Basada en Conjuntos Rugosos Difusos. Proceedings of XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012). PDF Icon
  • [1501] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 98-107, 6-8 February 2012. PDF Icon
  • [1500] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (Spain), pp. 313-318, 1-3 February 2012. PDF Icon
  • [1498] José A. Sáez, J. Luengo, F. Herrera. Sistemas de clasificación basados en reglas difusas y sistemas nítidos robustos entrenados en presencia de ruido de clase: un caso de estudio. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 602-607, 1-3 Febrero 2012.
  • [1504] J. Derrac, S. García, D. Molina, F. Herrera. Un tutorial sobre el uso de test estadísticos no paramétricos en comparaciones múltiples de metaheurísticas y algoritmos evolutivos. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 455-462, Febrero 8-10, 2012. PDF Icon
  • [1502] I. Triguero, J. Derrac, S. García, F. Herrera. Evolución Diferencial para Reducción de Prototipos y Ponderación de Características. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 267-274, Febrero 8-10, 2012. PDF Icon
  • [1503] P.D. Gutiérrez, I. Triguero, F. Herrera. Algoritmos Basados en Nubes de Partículas y Evolución Diferencial para el Problema de Optimización Continua: Un estudio experimental. Actas del VIII Congreso Español sobre Metaheurística, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 144-156, Febrero 8-10, 2012. PDF Icon
  • [1505] S. García, V. López, J. Luengo, C.J. Carmona, F. Herrera. A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 211-216, 6-8 February 2012. PDF Icon
  • [1509] D. Molina, B. Lacroix, F. Herrera. Algoritmo Memético con regiones basado en encadenamiento de búsquedas locales. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 205-210, Febrero 8-10, 2012. PDF Icon
  • [1512] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. SciMAT: A new Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology 63:8, pp. 1609-1630 (2012) . SciMAT's website here. doi: 10.1002/asi.22688 PDF Icon
  • [1536] B. Giglio, F. Marcelloni, M. Fazzolari, R. Alcalá, F. Herrera. A Case Study on the Application of Instance Selection Techniques for Genetic Fuzzy Rule-Based Classifiers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane (Australia), pp. 920-927, 10-15 June 2012.
  • [1514] J. Derrac, I. Triguero, S. García, F. Herrera. Integrating Instance Selection, Instance Weighting and Feature Weighting for Nearest Neighbor Classifiers by Co-evolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 42:5 (2012) 1383-1397. doi: 10.1109/TSMCB.2012.2191953 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1516] J. Derrac, I. Triguero, S. García, F. Herrera. A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 176-187. PDF Icon
  • [1517] José A. Sáez, M. Galar, J. Luengo, F. Herrera. A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 25-35. PDF Icon
  • [1518] J. A. García, R. Rodriguez-Sánchez, J. Fdez-Valdivia, D. Torres-Salinas, F. 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 (2012) 681-698. doi: 10.1007/s11192-012-0740-7 PDF Icon
  • [1519] L. Martínez, F. Herrera. An overview on the 2-tuple linguistic model for Computing with Words in Decision Making: Extensions, applications and challenges. Information Sciences 207 (2012) 1-18. doi: 10.1016/j.ins.2012.04.025 PDF Icon
  • [1522] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:2 (2012) 1-30. doi: 10.1142/S0218488512500195 PDF Icon
  • [1523] P. Villar, A. Fernandez, R.A. Carrasco, F. Herrera. Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classi cation Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:3 (2012) 369-397. doi: S0218488512500195 PDF Icon
  • [1530] I. Triguero, J. Derrac, S. García, F. Herrera. Integrating a Differential Evolution Feature Weighting scheme into Prototype Generation. Neurocomputing 97 (2012) 332-343. doi: 10.1016/j.neucom.2012.06.009 PDF Icon
  • [1532] A. Fernandez, F. Herrera. Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena and Janusz Kacprzyk (eds.): Combining Experimentation and Theory A Hommage to Abe Mamdani. Studies in Fuzziness and Soft Computing 271, (2012) 103-122. PDF Icon
  • [1538] J. G. Moreno-Torres, José A. Sáez, F. Herrera. Study on the Impact of Partition-Induced Dataset Shift on k-fold Cross-Validation. IEEE Transactions on Neural Networks and Learning Systems 23:8 (2012) 1304-1312. doi: 10.1109/TNNLS.2012.2199516 PDF Icon
    COMPLEMENTARY MATERIAL to the paper

  • [1540] R.M. Rodríguez, L. Martínez, F. Herrera. Group Decision Making with Comparative Linguistic Terms. In Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012) Part I, July 9-13, Catania (Italy), Communications in Computers and Information Science 297, 181-190. PDF Icon
  • [1541] R.M. Rodríguez, L. Martínez, F. Herrera. Modelo Lingüístico de Toma de Decisiones Multicriterio con Expresiones Lingüísticas Comparativas. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 217-223, 1-3 Febrero 2012. PDF Icon
  • [1542] D. Docampo, F. Herrera, T. Luque-Martínez, D. Torres-Salinas. Efecto de la agregación de universidades españolas en el Ranking de Shanghai (ARWU): caso de las comunidades autónomas y los campus de excelencia. El profesional de la información 21:4 (2012) 428-432. doi: 10.3145/epi.2012.jul.16 PDF Icon
  • [1545] A. Fernandez, S. Río, F. Herrera, J.M. Benítez. An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing (KMO'12), Salamanca (Spain), pp. 559-570, 11-13 July 2012. PDF Icon
  • [1546] A. Fernandez, D. Peralta, F. Herrera, J.M. Benítez. An Overview of E-Learning in Cloud Computing. Workshop on Learning Technology for Education in Cloud (LTEC'12), Salamanca (Spain), pp. 35-46, 11-13 Julio 2012. PDF Icon
  • [1547] B. Lacroix, D. Molina, F. Herrera. Region Based Memetic Algorithm with LS chaining. Actas en WCCI 2012 IEEE World Congress on Computational Intelligence, IEEE CEC, Brisbane (Australia), pp. 1474-1479, Junio 10-15, 2012.. PDF Icon
  • [1548] A. Puris, R. Bello, D. Molina, F. Herrera. Optimising real parameters using the information of a mesh of solutions: VMO algorithm. Actas del WCCI 2012 IEEE World Congress on Computational Intelligence, IEEE CEC, Brisbane (Australia), pp. 2553-2559, June 10-15, 2012. PDF Icon
  • [1552] E. Ramentol, N. Verbiest, R. Bello, Y. Caballero, C. Cornelis, F. Herrera. SMOTE-FRST: A new resampling method using fuzzy rough set theory. The 10th International FLINS Conference on uncertainty Modeling in Knowledge Engineering and Decision Making, August 26-29, Istanbul, Turkey, pp. 800-805.
  • [1556] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera. Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. Proceedings of the 13th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2012), Lecture Notes in Artificial Intelligence (LNAI) 7637, pp. 169-178, Cartagena de Indias, (Colombia), November 13-16, 2012. PDF Icon


2011 (40)

  • [1276] J. Luengo, A. Fernandez, S. García, F. Herrera. Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15 (10) (2011) 1909-1936. doi: 10.1007/s00500-010-0625-8 PDF Icon
  • [1277] J. Alcalá-Fdez, A. Fernandez, J. Luengo, J. Derrac, S. García, L. Sánchez, F. Herrera. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing 17:2-3 (2011) 255-287. PDF Icon
    SOFTWARE associated to the paper here

  • [1321] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to the Fuzzy Sets Theory Field. Journal of Informetrics 5:1, pp. 146-166 (2011). doi: 10.1016/j.joi.2010.10.002 PDF Icon
  • [1323] D. Molina, M. Lozano, A.M. Sánchez, F. Herrera. Memetic Algorithms Based on Local Search Chains for Large Scale Continuous Optimisation Problems: MA-SSW-Chains . Soft Computing, 15 (2011) 2201-2220. doi: 10.1007/s00500-010-0647-2 PDF Icon
  • [1324] F. Herrera, C.J. Carmona, P. González and M.J. del Jesus. An overview on Subgroup Discovery: Foundations and Applications . Knowledge and Information Systems 29:3 (2011) 495-525. doi: 10.1007/s10115-010-0356-2 PDF Icon
  • [1327] I. Triguero, S. García, F. Herrera. Differential Evolution for Optimizing the Positioning of Prototypes in Nearest Neighbor Classification. Pattern Recognition 44 (4) (2011) 901-916. doi: 10.1016/j.patcog.2010.10.020 PDF Icon
  • [1329] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Multiobjective Genetic Fuzzy Rule Selection of Single Granularity-Based Fuzzy Classification Rules and its Interaction with the Lateral Tuning of Membership Functions. Soft Computing 15:12 (2011) 2303-2318. doi: 10.1007/s00500-010-0671-2 PDF Icon
  • [1342] S. García, J. Derrac, J. Luengo, C.J. Carmona, F. Herrera. Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing 11:3 (2011) 3032-3045. doi: 10.1016/j.asoc.2010.11.030 PDF Icon
  • [1345] A. Fernandez, V. López, M.J. del Jesus, F. Herrera. On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions. In: W. Pedrycz, S.-M. Chen (Eds.) Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type, ISRL 13, Springer (2011), pp. 155-184, ISBN: 978-3-642-19819-9. PDF Icon
  • [1368] D. Torres-Salinas, E. Delgado-López-Cózar, J G Moreno-Torres, F. Herrera. Rankings ISI de las universidades españolas según campos científicos: Descripción y resultados. El Profesional de la Información 20:1 (2011) 111-122. PDF Icon
  • [1371] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. 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 (2011) 1761-1776. doi: 10.1016/j.patcog.2011.01.017 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1373] J. Sanz, A. Fernandez, H. Bustince, F. 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 52:6 (2011) 751-766. International Journal of Approximate Reasoning. doi: 10.1016/j.ijar.2011.01.011 PDF Icon
  • [1374] J. Derrac, S. García, D. Molina, F. 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 (2011) 3-18. doi: 10.1016/j.swevo.2011.02.002 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [1375] M.J. Gacto, R. Alcalá, F. Herrera. Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011), pp. 73-80, 2011..
  • [1376] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. Science Mapping Software Tools: Review, Analysis and Cooperative Study among Tools. Journal of the American Society for Information Science and Technology, 62:7, pp. 1382–1402 (2011). doi: 10.1002/asi.21525 PDF Icon
  • [1380] R. Alcalá, M.J. Gacto, F. Herrera. A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems 19:4 (2011) 666-681. doi: 10.1109/TFUZZ.2011.2131657 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1383] M.J. Gacto, R. Alcalá, F. Herrera. Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181:20 (2011) 4340–4360.
    COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc

  • [1384] E. Herrera-Viedma, F.J. Cabrerizo, I.J. Pérez, M.J. Cobo, S. Alonso, F. Herrera. Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. In: R.R. Yager, J. Kacprzyk, G. Beliakov (Eds.): Recent developments in the ordered weighted averaging operators: theory and practice, Studies in Fuzziness and Soft Computing, Volume 265/2011, Springer (2011), pp. 167-186, ISBN: 978-3-642-17909-9. PDF Icon
  • [1385] A. Fernandez, S. García, F. Herrera. Addressing the Classi cation with Imbalanced Data: Open Problems and New Challenges on Class Distribution. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, pp. 1-10. PDF Icon
  • [1386] J. Sanz, A. Fernandez, M. Pagola, A. Brugos, H. Bustince, F. Herrera. A Case Study on Medical Diagnosis of Cardiovascular Diseases Using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. T2FUZZ - 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE-SSCI 2011) pp. 9-15, Paris, France 11-15 April 2011. PDF Icon
  • [1387] M.J. Gacto, R. Alcalá, F. Herrera. A double axis classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. 9th International Workshop on Fuzzy Logic and Applications (WILF 2011), LNAI 6857, pp. 99–106, 2011.
  • [1388] Francisco Fernández, Francisco Chávez, R. Alcalá, F. Herrera. Musical Genre Classification by means of Fuzzy Rules Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation (CEC 2011), New Orleans (Louisiana, USA), pp. 2681-2687, 5-8 June 2011. PDF Icon
  • [1400] F. Chávez, F. Fernandez, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Evolutionary Learning of a Laser Pointer Detection Fuzzy System for an Environment Control System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei (Taiwan), pp. 256-263, 27-30 June 2011. PDF Icon
  • [1402] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems with Genetic Rule Selection and Lateral Tuning. IEEE Transactions on Fuzzy Systems 19:5 (2011) 857-872. doi: 10.1109/TFUZZ.2011.2147794 PDF Icon
  • [1407] I. Triguero, S. García, F. Herrera. Enhancing IPADE Algorithm with a Different Individual Codification. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, LNAI 6679, pp. 262–270. PDF Icon
  • [1412] D. Torres-Salinas, J G Moreno-Torres, E. Delgado-López-Cózar, F. Herrera. A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ2A index. Scientometrics 88:3 (2011) 771-786. PDF Icon
  • [1413] J. Derrac, C. Cornelis, S. García, F. Herrera. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. 11th International Work-Conference on Artificial Neural Networks (IWANN'11), Lecture Notes on Computer Science 6691, Torremolinos (Spain), pp. 174-182, June 8-10, 2011. PDF Icon
  • [1420] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. On the cooperation of Interval-Valued Fuzzy Sets and Genetic Tuning to Improve the Performance of Fuzzy Decision Trees. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1247-1254, Taipei (Taiwan) 27-30 June 2011. PDF Icon
  • [1421] P. Villar, A. Fernandez, F. Herrera. Studying the Behaviour of a Multiobjective Genetic Algorithm to Design Fuzzy Rule-Based Classification Systems for Imbalanced Data-sets. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1239-1246, Taipei (Taiwan) 27-30 June 2011. PDF Icon
  • [1439] I. Triguero, J. Derrac, S. García, F. Herrera. A Study of the Scaling up Capabilities of Stratified Prototype Generation. Third World Congress on Nature and Biologically Inspired Computing (NABIC'11), Salamanca (Spain), pp. 304-309, October 19-21, 2011. PDF Icon
  • [1444] I. Triguero, J. Derrac, S. García, F. Herrera. Un esquema de Pesos basado en Evolución Diferencial para Generación de Prototipos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011. PDF Icon
  • [1445] J. Derrac, S. García, C. Cornelis, F. Herrera. Una aplicación de conjuntos rugosos difusos en selección de características para la mejora de métodos de selección de instancias evolutivos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011. PDF Icon
  • [1449] Diana Martín, Alejandro Rosete, J. Alcalá-Fdez, F. Herrera. A Multi-Objective Evolutionary Algorithm for Mining Quantitative Association Rules. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain),pp. 1397-1402, 22–24 November 2011.
  • [1453] José A. Sáez, J. Luengo, F. Herrera. Fuzzy Rule Based Classification Systems versus Crisp Robust Learners Trained in Presence of Class Noise's Effects: a Case of Study. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 1229-1234, 22–24 November 2011.. PDF Icon
  • [1470] D. Torres-Salinas, J G Moreno-Torres, N. Robinson-García, E. Delgado-López-Cózar, F. Herrera. Rankings ISI de las universidades españolas según campos y disciplinas científicas (2ª ed. 2011). El Profesional de la Información 20:6 (2011) 701-711. PDF Icon
  • [1484] E. Barrenechea, A. Fernandez, H. Bustince, F. Herrera. Construction of Interval-valued Fuzzy Preference Relations using Ignorance Functions. Interval-valued non dominance Criterion. Workshop on Fuzzy Methods for Knowledge-Based Systems, Eurofuse 2011. Advances in Intelligent and Soft Computing ASIC 107, Régua, Portugal, 21-23 Septiembre pp. 243-255 (2011). PDF Icon
  • [1486] R.M. Rodríguez, L. Martínez and F. Herrera. Hesitant Fuzzy Linguistic Term Sets. International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). Advances in Intelligent and Soft Computing, vol. 122, pp. 287-295, Springer, 2011.
  • [1487] R.M. Rodríguez, L. Martínez and F. Herrera. A Multicriteria Linguistic Decision Making Model Dealing with Comparative Terms. Workshop on Fuzzy Methods for Knowledge-Based Systems, (Eurofuse 2011). Advances in Intelligent and Soft Computing ASIC, Régua, Portugal, 21-23 Septiembre. vol. 107, pp. 229-241, Springer, 2011. .
  • [1488] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD. 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris (France), April - 2011, pp. 17-23.
  • [1821] M. Lozano, D. Molina, F. Herrera. Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Computing 15:11 (2011) 2085-2087. doi: 10.1007/s00500-010-0639-2


2010 (56)

  • [0897] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. hg-index: A New Index to Characterize the Scientific Output of Researchers Based on the h- and g- Indices. Scientometrics 82:2 (2010) 391-400. doi: 10.1007/s11192-009-0047-5 PDF Icon BibTex Icon
  • [0849] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Continuous Optimization Based on Local Search Chains. Evolutionary Computation, 18:1 (2010) 27-63. doi: 10.1162/evco.2010.18.1.18102 PDF Icon
  • [1226] J. Derrac, S. García, F. Herrera. IFS-CoCo: Instance and Feature Selection based on Cooperative Coevolution with Nearest Neighbor Rule. Pattern Recognition 43:6 (2010) 2082-2105. doi: 10.1016/j.patcog.2009.12.012 PDF Icon
  • [1043] J. Luengo, F. 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) (2010) 3-19. doi: 10.1016/j.fss.2009.04.001 PDF Icon
  • [1051] J. Alcalá-Fdez, S. García, L. Sánchez, I. Robles, M.J. del Jesus, E. Bernadó-Mansilla, A. Peregrin, F. Herrera. Introduction to the Experimental Design in the Data Mining Tool KEEL. L.S.L. Wang , T.P. Hong (Eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2010, 1-25. ISBN 978-1-61520-757-2.
  • [1065] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera. q2-Index: Quantitative and Qualitative Evaluation Based on the Number and Impact of Papers in the Hirsch Core. Journal of Informetrics 4:1 (2010) 23-28. doi: 10.1016/j.joi.2009.06.005 PDF Icon BibTex Icon
  • [1072] S. García, J.R. Cano, F. Herrera. A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency. In: Chiong, R. (eds.): Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications. IGI Global (2010) 92-113.
  • [1092] P. Espejo, S. Ventura, F. Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 40:2 (2010) 121-144. doi: 10.1109/TSMCC.2009.2033566 PDF Icon
  • [1100] J. Derrac, S. García, F. Herrera. A Survey on Evolutionary Instance Selection and Generation. International Journal of Applied Metaheuristic Computing 1:1 (2010) 60-92. doi: 10.4018/IJAMC.2010010104 PDF Icon
  • [1104] A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, F. Herrera. Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation 14:6 (2010) 913-941. doi: 10.1109/TEVC.2009.2039140 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1112] J. Luengo, S. García, F. 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 RBFs and EventCovering method. Neural Networks 23 406-418. doi: 10.1016/j.neunet.2009.11.014 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1114] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. A Bibliometric Study about the Research Based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach. Internacional Journal of Hybrid Intelligent Systems 17:7 (2010) 17–32. doi: 10.3233/HIS-2010-0102 PDF Icon
  • [1186] J. Alcalá-Fdez, N. Flugy-Pape, A. Bonarini, F. Herrera. Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundamenta Informaticae 98:1 (2010) 1001-1014. PDF Icon
  • [1206] S. García, A. Fernandez, J. Luengo, F. Herrera. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences 180 (2010) 2044–2064. doi: 10.1016/j.ins.2009.12.010 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [1221] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. F. Fernández de Vega, E.Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, Studies in Computational Intelligence 269, pp. 235-261, Springer-Verlag Berlin Heidelberg. PDF Icon
  • [1227] A. Fernandez, M.J. del Jesus, F. Herrera. On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences 180:8 (2010) 1268-1291. doi: 10.1016/j.ins.2009.12.014 PDF Icon
    COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc

  • [1228] M.J. Gacto, R. Alcalá, F. Herrera. Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531. doi: 10.1109/TFUZZ.2010.2041008 PDF Icon
  • [1229] F.J. Berlanga, A.J. Rivera, M.J. del Jesus, F. Herrera. GP-COACH: Genetic Programming based learning of COmpact and ACcurate fuzzy rule based classification systems for high dimensional problems. Information Sciences 180:8 (2010) 1183-1200. doi: 10.1016/j.ins.2009.12.020 PDF Icon
  • [1242] A. Puris, R. Bello and F. Herrera. Analysis of the efficacy of a Two-Stage methodology for Ant Colony Optimization: Case of study with TSP and QAP. Expert Systems with Applications 37:7 (2010) 5443-5453. doi: 10.1016/j.eswa.2010.02.069 PDF Icon
  • [1250] J. Derrac, A. Fernandez, J. Luengo, S. García, L. Sánchez, J. Alcalá-Fdez, F. Herrera. KEEL: Una herramienta software para el análisis de sistemas difusos evolutivos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 417-422, 3-5 February 2010.. PDF Icon
  • [1251] J. Luengo, F. Herrera. Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasi ficación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 235-240, 3-5 February 2010.
  • [1255] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera. Resolución de Problemas Multi-clase con Sistemas de Clasificación Basados en Reglas Difusas Lingüísticos Basados en Aprendizaje por Parejas y Relaciones de Preferencia. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 97-102, 3-5 February 2010.
  • [1253] M.J. Gacto, R. Alcalá, F. Herrera. Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proceedings of the XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), pp. 73-78, Huelva (Spain), 3-5 February 2010, ISBN 978-84-92944-02-6.
  • [1254] M.J. Gacto, R. Alcalá, F. 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. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), LNAI 6097, Springer, Córdoba (Spain), pp. 228-238, 1-4 June 2010, ISBN 978-3-642-13024-3.
  • [1256] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Un algoritmo genético para el ajuste de Sistemas de Clasificación Basados en Reglas Difusas con Conjuntos Intervalo-Valorados Difusos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 115-120, 3-5 February 2010.
  • [1258] A. Fernandez, M.J. del Jesus, F. Herrera. Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. Proc. of the 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS2010) 69-74, Mieres (Spain) 17-19 March 2010.
  • [1259] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. WoS Query Partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source based partitioning approaches. Journal of the American Society for Information Science and Technology 61:8 (2010) 1582-1597. doi: 10.1002/asi.21360 PDF Icon
    SOFTWARE associated to the paper

  • [1264] Francisco Chávez, Francisco Fernández, J. Alcalá-Fdez, R. Alcalá, F. Herrera, Gustavo Olague. Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010), pp. 1812-1819, Barcelona (Spain), 18-23 July 2010, ISBN 978-1-4244-8126-2.. PDF Icon
  • [1265] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Associative Classification System with Genetic Rule Selection for High- Dimensional Problems. Proceedings of the Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) , pp. 33-38, Asturias (Spain), 17 – 19 March 2010, ISBN 978-1-4244-4622-3.
  • [1273] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. 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 (2010) 3064-3080. doi: 10.1016/j.fss.2010.05.016 PDF Icon
  • [1275] S. García, J. Derrac, I. Triguero, C. Carmona, F. Herrera. A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), Córdoba (Spain), Lecture Notes in Artificial Intelligence (LNAI) 6096, 601-610, , 1-4 June 2010. PDF Icon
  • [1278] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning. Information Sciences 180:19 (2010) 3674-3685. doi: 10.1016/j.ins.2010.06.018 PDF Icon
  • [1281] A. Fernandez, M.J. del Jesus, F. Herrera. Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), LNAI 6178 pp 89-98, 28 June - 02 July 2010. PDF Icon
  • [1282] P. Villar, A. Fernandez, F. Herrera. A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), CCIS 80 pp. 741-750, 28 June - 02 July 2010. PDF Icon
  • [1283] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Ajuste Evolutivo de un Sistema de Control de Entorno para Personas con Discapacidad utilizando Sistemas Difusos. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), pp. 535-542, Valencia (España), 7-10 Septiembre 2010. PDF Icon
  • [1284] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Un Modelo de Clasificación basado en Reglas de Asociación Difusas para Problemas de Alta Dimensionalidad y Selección Evolutiva de Reglas. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 249-254, 3-5 February 2010.
  • [1285] J. Derrac, S. García, F. Herrera. Stratified Prototype Selection based on a Steady-State Memetic Algorithm: A Study of scalability. Memetic Computing 2:3 (2010) 183-199. doi: 10.1007/s12293-010-0048-1 PDF Icon
  • [1290] D. Molina, M. Lozano, F. Herrera. MA-SW-Chains: Memetic Algorithm Based on Local Search Chains for Large Scale Continuous Global Optimization. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 3153-3160, 2010. COMPETITION WINNER.. doi: 10.1109%2FCEC.2010.5586034 PDF Icon
  • [1291] I. Triguero, S. García, F. Herrera. A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 630-637, 2010. PDF Icon
  • [1293] C. Carmona, P. González, M.J. del Jesus, F. Herrera. NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery. IEEE Transactions on Fuzzy Systems Issue 18:5 (2010) 958-970. doi: 10.1109/TFUZZ.2010.2060200 PDF Icon
  • [1294] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. A Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 199-206. PDF Icon
  • [1295] S. Alonso, E. Herrera-Viedma, F. Chiclana , F. Herrera. A Web Based Consensus Support System for Group Decision Making Problems and Incomplete Preferences. Information Sciences, 180:23 (2010), 4477-4495. doi: 10.1016/j.ins.2010.08.005 PDF Icon BibTex Icon
  • [1306] J. Derrac, I. Triguero, S. García, F. Herrera. Coevolución de selección de instancias y esquemas de pesos para clasificadores basados en la regla del vecino más cercano. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2010, Valencia (Spain), 481-488, 7-10 September 2010. PDF Icon
  • [1307] S. García, J. Derrac, F. Herrera. Un Tutorial Metodológico para hacer Comparaciones Estadísticas con Tests No Paramétricos en Propuestas de Minería de Datos. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos, TAMIDA2010, Valencia (Spain), 155-164, 7-10 September 2010. PDF Icon
  • [1309] J. Luengo, F. Herrera. Obtención de los dominios de competencia de C4.5 por medio de medidas de separabilidad de clases. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VIII Jornadas de Aplicaciones y Transferencia Tecnológica de la Inteligencia Artificia (TTIA 2010) Valencia (Spain), 33-44, 7-10 September 2010. . PDF Icon
  • [1310] J. Luengo, F. 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. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 702-709. PDF Icon
  • [1311] M. Galar, José A. Sáez, J. Luengo, F. Herrera. Influencia del Ruido en Sistemas de Clasificación con Múltiples Clases: Análisis sobre la estrategia Uno-contra-Uno. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010) Valencia (Spain), 65-74, 7-10 September 2010. PDF Icon
  • [1312] José A. Sáez, J. Luengo, F. Herrera. Análisis del impacto del ruido en clases y atributos para Sistemas de Clasificación Basados en Reglas Difusas. In Proceedings of the III Congreso Español de Informática (CEDI 2010).III Simposio sobre Lógica Fuzzy y Soft Computing, LFSC2010 (EUSFLAT), Valencia (Spain), 467-474, 7-10 September 2010. PDF Icon
  • [1316] I. Triguero, S. García, F. Herrera. IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21 (12) (2010) 1984-1990. doi: 10.1109/TNN.2010.2087415 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [1320] L. Martinez, D. Ruan, F. Herrera. Computing with Words in Decision support Systems: An overview on Models and Applications. International Journal of Computational Intelligence Systems 3:4 (2010) 382-395. PDF Icon
  • [1322] V. López, A. Fernandez, F. Herrera. Un primer estudio sobre el uso de aprendizaje sensible al coste con sistemas de clasificación basados en reglas difusas para problemas no balanceados. III Congreso Español de Informática (CEDI 2010). III Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2010), Valencia (Spain), pp. 459-466, 7-10 September 2010. PDF Icon
  • [1330] D. Molina, C. García-Martínez, M. Lozano, F. Herrera. web temática sobre algoritmos evolutivos y otras metaheurísticas. Proceeding del VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'2010, Valencia, Septiembre 2010, pp 311-317, 2010. PDF Icon
  • [1339] J. Derrac, S. García, F. Herrera. IFS-CoCo in the Landscape Contest: Description and results. Proceedings of Contests of the Twentieth conference of the International Association for Pattern Recognition (ICPR'2010), LNCS vol. 6388, Springer, Heidelberg. Estambul (Turkey, 2010) . PDF Icon
  • [1340] V. López, A. Fernandez, F. Herrera. A First Approach for Cost-Sensitive Classification with Linguistic Genetic Fuzzy Systems in Imbalanced Data-sets. 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), El Cairo (Egypt), pp. 676-681, 29th November - 1st December 2010. PDF Icon
  • [1348] José A. Sáez, J. Luengo and F. Herrera. A First Study on the Noise Impact in Classes for Fuzzy Rule Based Classification Systems. In Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE2010). IEEE Press. November 15-16, 2010, Hangzhou (China), pp. 153-158. PDF Icon
  • [1369] J G Moreno-Torres, F. Herrera. A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction. Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010). PDF Icon


2009 (62)

  • [0758] J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, F. Herrera. KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems. Soft Computing 13:3 (2009) 307-318. doi: 10.1007/s00500-008-0323-y PDF Icon
    SOFTWARE associated to the paper

  • [0591] P.J. Sánchez, L. Martínez, C. García-Martínez, F. Herrera, E. Herrera-Viedma. A fuzzy model to evaluate the suitability of installing an enterprise resource planning system. Information Sciences 179 (2009) 2333-2341. doi: 10.1016/j.ins.2008.12.020 PDF Icon
  • [0671] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence 31:1 (2009) 15-30. doi: 10.1007/s10489-007-0107-6 PDF Icon
  • [0769] C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems With Applications 36 (2009) 1632-1644. doi: 10.1016/j.eswa.2007.11.026 PDF Icon
  • [0976] A.G. López-Herrera, E. Herrera-Viedma, F. 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 (2009) 2192 – 2205. doi: 10.1016/j.fss.2009.02.013 PDF Icon
  • [0838] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems 160:7 (2009) 905-921. doi: 10.1016/j.fss.2008.05.012 PDF Icon
  • [0837] M.J. Gacto, R. Alcalá, F. Herrera. Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing 13:5 (2009) 419-436. doi: 10.1007/s00500-008-0359-z PDF Icon
  • [0834] S. García, D. Molina, M. Lozano, F. 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. Journal of Heuristics 15 (2009) 617-644. doi: 10.1007/s10732-008-9080-4 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [1034] J. Derrac, S. García, F. Herrera. A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 557-564. PDF Icon
  • [0826] S. García, F. Herrera. Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy. Evolutionary Computation 17:3 (2009) 275-306. PDF Icon
  • [0855] S. Alonso, F.J. Cabrerizo, F. Chiclana, F. Herrera, E. Herrera-Viedma. Group Decision-Making with Incomplete Fuzzy Linguistic Preference Relations. International Journal of Intelligent Systems 24:2 (2009) 201-222. doi: 10.1002/int.20332 PDF Icon BibTex Icon
  • [0875] S. García, J.R. Cano, E. Bernadó-Mansilla, F. Herrera. Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure. International Journal of Pattern Recognition and Artificial Intelligence 23:8 (2009) 1527-1548. PDF Icon
  • [0885] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera. Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity. IEEE Transactions on Fuzzy Systems 17:1 (2009) 14-23. doi: 10.1109/TFUZZ.2008.2008028 PDF Icon BibTex Icon
  • [0893] J. Luengo, S. García, F. Herrera. A Study on the Use of Statistical Tests for Experimentation with Neural Networks: Analysis of Parametric Test Conditions and Non-Parametric Tests. Expert Systems with Applications 36 (2009) 7798-7808. doi: 10.1016/j.eswa.2008.11.041 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [0894] A.M. Sánchez, M. Lozano, P. Villar, F. Herrera. Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood-based Crossover Operators. International Journal of Intelligent Systems 24:5 (2009) 540-567. doi: 10.1002/int.20348 PDF Icon
  • [0896] A. Fernandez, M.J. del Jesus, F. Herrera. Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection for Imbalanced Data-Sets. International Journal of Approximate Reasoning 50 (2009) 561-577. doi: 10.1016/j.ijar.2008.11.004 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [0898] S. García, A. Fernandez, J. Luengo, F. Herrera. A Study of Statistical Techniques and Performance Measures for Genetics-Based Machine Learning: Accuracy and Interpretability. Soft Computing 13:10 (2009) 959-977. doi: 10.1007/s00500-008-0392-y PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [0900] I. Robles, J.M. Benítez, M. Lozano, F. Herrera. Implementación de un algoritmo genético distribuido para optimización de problemas reales. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), páginas 419-424.
  • [0964] D. Molina, M. Lozano, F. Herrera. Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. Learning and Intelligent OptimizatioN Workshop (LION'3), pages 221-234. PDF Icon
  • [0947] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. A Study of the Use of Multi-Objective Evolutionary Algorithms to Learn Boolean Queries: A Comparative Study. Journal of the American Society for Information Science and Technology 60:6 (2009) 1192 - 1207. doi: 10.1002/asi.21060 PDF Icon
  • [0949] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. 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 (2009) 313-333. doi: 10.1142/S0219622009003417 PDF Icon BibTex Icon
  • [1018] A. Fernandez, F. Herrera, M.J. del Jesus. On the Influence of an Adaptive Inference System in Fuzzy Rule Based Classification Systems for Imbalanced Data-Sets. Expert Systems With Applications 36:6 (2009) 9805-9812. doi: 10.1016/j.eswa.2009.02.048 PDF Icon
  • [1023] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. Una Aplicación de Algoritmos Evolutivos Multiobjetivo al Filtrado de Correo Electrónico no Deseado. Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pp. 611-616, Málaga (Spain), 11-13 February 2009.
  • [1025] S. García, A. Fernandez, F. Herrera. Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y Árboles de Decisión. In Proceedings of VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), Málaga (Spain), 183-190, 11-13 February 2009.
  • [1035] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-sets. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 581-588.
  • [1036] A. Fernandez, M.J. del Jesus, F. Herrera. Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System. 10th International Work-Conference on Artificial Neural Networks (IWANN09), Lecture Notes on Computer Science 5517, Salamanca (Spain), 294-301, June 2009.
  • [1037] A. Fernandez, F.J. Berlanga, M.J. del Jesus, F. Herrera. Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT 2009) 42-47, Lisbon (Portugal), 20-24 July 2009.
  • [1038] M.J. Gacto, R. Alcalá, F. Herrera. Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. En Actas del Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), pp. 595-602, Málaga (Spain), 11-13 February 2009. ISBN 978-84-691-6813-4.
  • [1041] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Distributed Genetic Tuning of Fuzzy Rule-Based Systems. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1740-1744, Lisbon (Portugal), 20-24 July 2009.
  • [1046] S. Alonso. F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. h-index: A Review Focused in its Variants, Computation and Standardization for Different Scientific Fields. Journal of Informetrics 3:4 (2009) 273-289. doi: 10.1016/j.joi.2009.04.001 PDF Icon BibTex Icon
  • [1047] S. García, A. Fernandez, F. Herrera. Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems. Applied Soft Computing 9 (2009) 1304-1314. doi: 10.1016/j.asoc.2009.04.004 PDF Icon
  • [1048] P. Villar, F. Herrera, A. Fernandez. A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for Highly Imbalanced Data-Sets. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1689-1694, 20-24 August 2009.
  • [1054] R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, F. Marcelloni. A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems. IEEE Transactions on Fuzzy Systems 17:5 (2009) 1106-1122. doi: 10.1109/TFUZZ.2009.2023113 PDF Icon
  • [1055] M.J. Gacto, R. Alcalá, F. Herrera. A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1146-1151, Lisbon (Portugal), 20-24 July 2009. ISBN 978-989-95079-6-8.
  • [1056] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Generating Single Granularity Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection. In Proceedings of the 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2009), pp. 1718-1723, Jeju Island (Korea), 20-24 August 2009, ISBN 978-1-4244-3597-5. PDF Icon
  • [1058] D. Molina, M. Lozano, F. Herrera. Memetic Algorithm with Local Search Chaining for Large Scale Continuous Optimization. Proceeding IEEE Congress on Evolutionary Computation (2009) 830-837. PDF Icon
  • [1059] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince F. Herrera. Enhancing Fuzzy Rule Based Systems in Multi-Classification Using Pairwise Coupling with Preference Relations. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 39-46, 16-18 September 2009.
  • [1060] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera. The Aggregation of Bibliometric Indices to Evaluate the Scientific Output of Researchers: A Case of Study in the Fuzzy Community. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis, Pamplona (Spain), 187-192, 16-18 September 2009. PDF Icon
  • [1061] M. D. Pérez-Godoy, A. J. Rivera, A. Fernandez, M. J. del Jesus and F. Herrera. A Preliminar Analysis of CO2RBFN in Imbalanced Problems. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 57-64, June 2009.
  • [1062] J. Luengo, F. Herrera. Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 81-88, June 2009.
  • [1063] J. Sanz, M. Pagola, H. Bustince, A. Fernandez, F. Herrera. Construction of Ignorance Functions from Overlap Functions. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 317-322, 16-18 September 2009.
  • [1069] F. Herrera, S. Alonso, F. Chiclana, E. Herrera-Viedma. Computing With Words in Decision Making: Foundations, Trends and Prospects. Fuzzy Optimization and Decision Making 8:4 (2009) 337-364. doi: 10.1007/s10700-009-9065-2 PDF Icon BibTex Icon
  • [1070] N. Flugy Papè, J. Alcalá-Fdez, A. Bonarini and F. Herrera. Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 646-653. PDF Icon
  • [1075] D. Molina, M. Lozano, F. Herrera. A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noiseless Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2255-2262. PDF Icon
  • [1076] D. Molina, M. Lozano, F. Herrera. A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noisy Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2359-2366. PDF Icon
  • [1077] J. Luengo, F. Herrera. On the use of Measures of Separability of Classes to characterise the Domains of Competence of a Fuzzy Rule Based Classification System. Proceedings of the 2009 International Fuzzy Systems Association congress and 2009 European Society for Fuzzy Logic and Technology conference, Lisbon (Portugal) 1027-1032, July 2009.
  • [1078] A. Fernandez, J. Luengo, J. Derrac, J. Alcalá-Fdez and F. Herrera. Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009). Lecture Notes in Computer Science 5788, Springer 2009, Burgos (Spain, 2009) 562-569. PDF Icon
  • [1079] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Evolutionary Parallel and Gradually Distributed Lateral Tuning of Fuzzy Rule-Based Systems. Evolutionary Intelligence 2 (2009) 5-19. doi: 10.1007/s12065-009-0025-0 PDF Icon
  • [1096] F. Herrera, E. Herrera-Viedma, S. Alonso, F.J. Cabrerizo. Agregación de índices bibliométricos para evaluar la producción científica de los investigadores. El Profesional de la Información 18:5 (2009) 559-561. doi: 10.3145/epi.2009.sep.11 PDF Icon
  • [1098] D. Molina, M. Lozano, F. Herrera. Algoritmo Memético Basado en Encadenamiento de Búsquedas Locales para Problemas de Optimización Continua. Proceeding VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), (2009), 481-486. PDF Icon
  • [1115] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, R. Bailón, E. Jiménez-Contreras. Visualization and Evolution of the Scientific Structure of Fuzzy Sets Research in Spain. Information Research 14:4, paper 421 (2009), Available online. PDF Icon
  • [1162] P. Villar, A. Fernandez, A.M. Sánchez, F. Herrera. Un Algoritmo Genético para Selección de Características en Sistemas de Clasificación Basados en Reglas Difusas para conjuntos de datos altamente no balanceados. Actas de la XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA09) Sevilla (Spain), 519-528, 9-13 November 2009.
  • [1176] J. Luengo, A. Fernandez, F. Herrera, S. García. Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 523-528 .
  • [1177] S. García, J. Derrac, J. Luengo, F. Herrera. A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 517-522. PDF Icon
  • [1199] A.M. Sánchez, M. Lozano, F. Herrera. Algoritmos Genéticos para Codificación Real con Operador de Cruce Híbrido con Múltiples Descendientes: 2BLX0.5-2FR0.5-2PNX3-2SBX0.01. En Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09). pp 411-418. Málaga (Spain), 11-13 February 2009. .
  • [1216] M.J. Gacto, R. Alcalá, F. Herrera. Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), pp. 109-114, Pisa (Italy), November 2009, ISBN 978-0-7695-3872-3.
  • [1222] D. Molina, M. Lozano, F. Herrera. Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems. Proceeding of 9th International Conference on Intelligent System Design and Applications, 2009 (ISDA'2009), 1068-1073. PDF Icon
  • [1231] E. Ramentol, F. Herrera, R. Bello, Y. Caballero, Y. Sánchez. Edición de Conjuntos de Entrenamiento no Balanceados, haciendo uso de Operadores Genéticos y la Teoría de los Conjuntos Aproximados. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), 11-13 Febrero, Malaga (Spain), 277-284, 2009.. PDF Icon
  • [1232] C. Blum, P. Cardoso, F. Herrera. ACOR híbrido con múltiples colonias para problemas de optimización continua. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), 11-13 Febrero, Malaga (Spain), 465-472, 2009. PDF Icon
  • [1233] C.J. Carmona, P. González, M.J. Del Jesus, F. Herrera. An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1706-1711, 20-24 August 2009..
  • [1234] C.J. Carmona, P. González, M.J. Del Jesus, F. Herrera. Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 573-580, 2009. PDF Icon
  • [1770] F. Herrera, M. Lozano. Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems. In: C.L. Mumford, L.C. Jain (Eds.) Computational Intelligence: Collaboration, Fusion and Emergence, ISRL 1, Springer Berlin Heidelberg (2009), pp. 83-130, ISBN: 978-3-642-01798-8. PDF Icon


2008 (35)

  • [0341] M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Sciences 178:23 (2008) 4421-4433. doi: 10.1016/j.ins.2008.07.031 PDF Icon
  • [0446] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, J. Alcalá-Fdez, C. Porcel. A Consistency-Based Procedure to Estimate Missing Pairwise Preference Values. International Journal of Intelligent Systems 23:2 (2008) 155-175. doi: 10.1002/int.20262 PDF Icon BibTex Icon
  • [0756] M.J. del Jesus, P. González, and F. Herrera. Subgroup Discovery with Linguistic Rules. In: F. Herrera, J. Montero, H. Bustince (Eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer-Verlag, Studies in Fuzziness and Soft Computing, 220 (2008), 411-430. PDF Icon
  • [0526] C. García-Martínez, M. Lozano, F. Herrera, D. Molina, A.M. Sánchez. Global and Local Real-Coded Genetic Algorithms Based on Parent-Centric Crossover Operators. European Journal of Operational Research 185 (2008) 1088-1113. doi: 10.1016/j.ejor.2006.06.043 PDF Icon
  • [0596] F. Herrera, E. Herrera-Viedma, L. Martínez. A Fuzzy Linguistic Methodology To Deal With Unbalanced Linguistic Term Sets. IEEE Transactions on Fuzzy Systems 16:2 (2008) 354-370. doi: 10.1109/TFUZZ.2007.896353 PDF Icon
  • [0669] A.M. Sánchez, M. Lozano, C. García-Martínez, D. Molina, F. Herrera. Real-Parameter Crossover Operators with Multiple Descendents: An Experimental Study. International Journal of Intelligent Systems 23:2 (2008) 246-268. doi: 10.1002/int.20258 PDF Icon
  • [0656] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. In: Ghosh, A., Dehuri, S., Ghosh, S. (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases Vol. 98, Springer Verlag, Heidelberg, Germany, 2008, 91-107. ISBN 978-3-540-77466-2.
  • [0721] J.R. Cano, F. Herrera, M. Lozano, S. García. Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems with Applications 35 (2008) 1949-1965. doi: 10.1016/j.eswa.2007.08.083 PDF Icon
  • [0730] S. Alonso, F.J. Cabrerizo, F. Chiclana, F. Herrera and E. Herrera-Viedma. An Interactive Decision Support System Based on Consistency Criteria. Journal of Multiple-Valued Logic & Soft Computing 14:3-5 (2008) 371-385. PDF Icon BibTex Icon
  • [0760] F. Herrera. Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46. doi: 10.1007/s12065-007-0001-5 PDF Icon
  • [0768] R. Romero Zaliz, C. Rubio-Escudero, O. Cordón, J.P. Cobb, F. Herrera, I. Zwir. A multi-objective evolutionary conceptual clustering methodology for gene annotation within structural databases: A case of study on the Gene Ontology database. IEEE Transactions on Evolutionary Computation, 12:6 (2008) 679-701. doi: 10.1109/TEVC.2008.915995 PDF Icon
  • [0772] A. Fernandez, S. García, M.J. del Jesus, F. 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 (2008) 2378-2398. doi: 10.1016/j.fss.2007.12.023 PDF Icon
  • [0773] J. Alcalá-Fdez, S. García, F.J. Berlanga, A. Fernandez, L. Sánchez, M.J. del Jesus, F. Herrera. KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008), Witten-Bommerholz (Germany), 83-88, 4-7 March 2008. PDF Icon
  • [0848] S. García, F. Herrera. Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. Proceedings of the 3rd International Workshop on Hybrid Artificial Intelligent Systems (HAIS08). Lecture Notes in Artificial Intelligence 5271, Springer-Verlag 2008, Burgos (Spain) 4-14, September 2008.
  • [0847] J.R. Cano, S. García, F. Herrera. Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters 29 (2008) 2156-2164. doi: 10.1016/j.patrec.2008.08.001 PDF Icon
  • [0845] A. Fernandez, M.J. del Jesus, F. Herrera. Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 493-500, 17-19 September 2008.
  • [0844] A. Fernandez, M.J. del Jesus, F. Herrera. A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. 8th International Conference on Hybrid Intelligent Systems (HIS 2008) Barcelona (Spain), 483-488, 10-12 September.
  • [0830] F.J. Berlanga, M.J. del Jesus and F. Herrera. A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008) pp. 101-106 Witten-Bommerholz (Germany), March 2008.
  • [0827] S. García, J.R. Cano, F. Herrera. A Memetic Algorithm for Evolutionary Prototype Selection: A Scaling Up Approach. Pattern Recognition 41:8 (2008) 2693-2709. doi: 10.1016/j.patcog.2008.02.006 PDF Icon
  • [0853] S. García, F. Herrera. Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS08), Barcelona (Spain), 567-572, September 2008.
  • [0854] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. 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 16:2 Supp (2008) 19-32. doi: 10.1142/S0218488508005467 PDF Icon BibTex Icon
  • [0859] F. Chiclana, S. Alonso, E. Herrera-Viedma, F. Herrera. Tackling Incomparability of Fuzzy Preferences Using Self-dual Uninorms. Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2008), Málaga (Spain), 1311-1317, 22-27 June (2008).
  • [0861] F. Chiclana, S. Alonso, E. Herrera-Viedma, F. Herrera. Construction of Consistent Fuzzy Preference Relations Using Uninorms. Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), Hong Kong, 1269-1273, 1-6 June (2008).
  • [0864] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. Visualizing the Hybridizations Between the Fuzzy Logic Field and the Other Soft-Computing Techniques. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS08), Barcelona (Spain), 252-257, 10-12 September 2008.
  • [0867] M.J. Gacto, R. Alcalá, F. Herrera. Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1446-1453, 22-28 June 2008.
  • [0868] M.J. Gacto, R. Alcalá, F. Herrera. An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy Systems. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1121-1128, 22-28 June 2008.
  • [0869] P. Ducange, R. Alcalá, F. Herrera, B. Lazzerini, F. Marcelloni. Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. Proceedings of the 3rd International Workshop on HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS (HAIS 2008), LNAI 5271, Springer-Verlag, Burgos (Spain), 747-754, 24-26 September 2008.
  • [0873] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. A Selection Process to Deal with Incomplete Fuzzy Preference Relations in a 2-Tuple Fuzzy Linguistic Approach. Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid (Spain), 289-294, 21-24 September 2008. PDF Icon
  • [0882] S. García, F. Herrera. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons. Journal of Machine Learning Research 9 (2008) 2677-2694. PDF Icon
    COMPLEMENTARY MATERIAL to the paper: Software and tests description

  • [0892] J. Luengo, S. García, J.R. Cano, F. Herrera. Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 257-263, 17-19 September 2008.
  • [0904] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Intense Local Search Methods Using Local Search Chains . Proceedings of the International Workshop on Hybrid Metaheuristics (HM 2008), Málaga (Spain), 8-9 october 2008, LNCS 5296, pp. 58-71. doi: 10.1007/978-3-540-88439-2_5 PDF Icon
  • [0907] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. A Multiobjective Evolutionary Algorithm for Spam E-mail Filtering. Proceedings of the International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2008), Xiamen (China), 17-18 November 2008.
  • [0909] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. A Study on the Evolution of Fuzzy Sets Based Research in Spain Based on Bibliometric Maps. Proceedings of the XIV Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2008), pp. 265-270. ISBN: 978-84-691-5807-4, Mieres-Langreo (Spain), 17-19 September 2008.
  • [0974] P. Gonzalez, C.J. Carmona, M.J. del Jesus, F. Herrera. Influencia de la granularidad y las medidas de calidad en el modelo evolutivo SDIGA de descubrimiento de subgrupos. Proceedings of the XIV Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2008), pp. 179-184. ISBN: 978-84-691-5807-4, Mieres-Langreo (Spain), 17-19 September 2008.
  • [1032] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. Using Different Transitivity Properties to Deal With Incomplete Fuzzy Preference Relations in Group Decision Making Environments. In B. Bouchon-Meunier, R.R. Yager, C. Marsala, and M. Rifqi (eds.): Uncertainty and Intelligent Information Systems. World Scientific (2008).


2007 (39)

  • [0344] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems. International Journal of Intelligent Systems 22:9 (2007) 909-941. doi: 10.1002/int.20232 PDF Icon
  • [0346] J. Alcalá-Fdez, F. Herrera, F. Márquez, A. Peregrín. Increasing Fuzzy Rules Cooperation Based on Evolutionary Adaptive Inference Systems. International Journal of Intelligent Systems 22:9 (2007) 1035-1064. doi: 10.1002/int.20237 PDF Icon
  • [0651] R. Alcalá, M.J. Gacto, F. Herrera, J. 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 (2007) 539–557. doi: 10.1142/S0218488507004868 PDF Icon
  • [0427] E. Herrera-Viedma, F. Chiclana, F. Herrera, S. Alonso. Group Decision-Making Model with Incomplete Fuzzy Preference Relations Based on Additive Consistency. IEEE Transactions on Systems, Man and Cybernetics, Part B, Cybernetics, 37:1 (2007) 176-189. doi: 10.1109/TSMCB.2006.875872 PDF Icon BibTex Icon
  • [0588] E. Herrera-Viedma, S. Alonso, F. Chiclana, F. Herrera. A Consensus Model for Group Decision Making with Incomplete Fuzzy Preference Relations. IEEE Transactions on Fuzzy Systems 15:5 (2007) 863-877. doi: 10.1109/TFUZZ.2006.889952 PDF Icon BibTex Icon
  • [0543] J.R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Training Set Selection for Extracting Classification Rules with Trade-off Precision-Interpretability. Data and Knowledge Engineering 60 (2007) 90-108. doi: 10.1016/j.datak.2006.01.008 PDF Icon
  • [0556] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing 11:5 (2007) 401-419. doi: 10.1007/s00500-006-0106-2 PDF Icon
  • [0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and Compact Fuzzy Rule Based Systems Based on the 2-Tuples Linguistic Representation. International Journal of Approximate Reasoning 44:1 (2007) 45-64. doi: 10.1016/j.ijar.2006.02.007 PDF Icon
  • [0589] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. IEEE Transactions on Fuzzy Systems 15:4 (2007) 578-592. doi: 10.1109/TFUZZ.2006.890662 PDF Icon
  • [0590] C. García-Martínez, O. Cordón, F. Herrera. A Taxonomy and an Empirical Análisis of Multiple Objective Ant Colony Optimization Algorithms for Bi-criteria TSP. European Journal of Operational Research 180:1 (2007) 116-148. doi: 10.1016/j.ejor.2006.03.041 PDF Icon
  • [0597] F. Chiclana, E. Herrera-Viedma, F. Herrera, S. 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 (2007) 383-399. doi: 10.1016/j.ejor.2006.08.032 PDF Icon BibTex Icon
  • [0598] R. Alcalá, J. Alcalá-Fdez, F. Herrera. A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and its Interaction with Rule Selection. IEEE Transactions on Fuzzy Systems 15:4 (2007) 616-635. doi: 10.1109/TFUZZ.2006.889880 PDF Icon
  • [0629] S. García, J.R. Cano, F. Herrera. Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 563-570, 14-16 February 2007. PDF Icon
  • [0630] S. García, D. Molina, M. Lozano, F. Herrera. Un estudio experimental sobre el uso de test no paramétricos para analizar el comportamiento de los algoritmos evolutivos en problemas de optimización. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 275-285, 14-16 February 2007. PDF Icon
  • [0666] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera, F. Chiclana. A Web Consensus Support System to Deal with GDM Problems under Incomplete Fuzzy Preference Relations. Proceedings of EUROFUSE Workshop on New Trends in Preference Modeling (EUROFUSE'07), Jaén (Spain), 15-20, 11-13 April 2007. PDF Icon
  • [0654] F.A. Márquez, A. Peregrín and F. Herrera. Cooperative Evolutionary Learning of Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 15:6 (2007) 1162-1178. doi: 10.1109/TFUZZ.2007.904121 PDF Icon
  • [0657] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1367-1372, 23-26 July 2007. PDF Icon
  • [0658] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1538-1543, 23-26 July 2007. PDF Icon
  • [0664] A. Fernandez, S. García, M.J. del Jesus, F. 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. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 375-382, June 2007. PDF Icon
  • [0665] A. Fernandez, S. García, M.J. del Jesus, F. Herrera. An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. International Workshop on Fuzzy Logic and Applications (WILF07). Lecture Notes in Computer Science 4578, Springer-Verlag 2007, Genova (Italy, 2007), 170-179. PDF Icon
  • [0668] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing, LFSC'2007 (EUSFLAT), Zaragoza (Spain), 25-32, 11-14 September 2007. PDF Icon
  • [0672] F. Herrera, P. Villar. Un algoritmo genético para aprendizaje de un sistema basado en reglas difusas tipo Takagi-Sugeno. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 543-548, 14-16 February 2007. PDF Icon
  • [0673] J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera. Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 485-492, 14-16 February 2007. PDF Icon
  • [0675] F. Herrera, M. Lozano, A.M. Sánchez. Algoritmos genéticos con codificación real:Operadores de cruce híbridos basados en entornos con múltiples descendientes. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 827-834, 14-16 February 2007. PDF Icon
  • [0677] C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera. Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 493-500, 14-16 February 2007. PDF Icon
  • [0679] M. E. Pérez, F. Herrera. Algoritmos genéticos multimodales: Un estudio sobre la parametrización del método clearing apliado al problema "Job Shop". In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 851-858, 14-16 February 2007. PDF Icon
  • [0694] S. Alonso, F.J. Cabrerizo, F. Herrera, E. Herrera-Viedma, F. Chiclana. A Procedure to Estimate Missing Information in Group Decision-Making with Fuzzy Linguistic Information. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), Zaragoza (Spain), 131-138, 11-14 September 2007. PDF Icon
  • [0696] S. Alonso, E. Herrera-Viedma, F.J. Cabrerizo, F. Chiclana, F. Herrera. Visualizing Consensus in Group Decision Making Situations. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1818-1823, 23-26 July 2007. PDF Icon
  • [0697] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera. Consistency of Reciprocal Preference Relations. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1119-1124, 23-26 July 2007. PDF Icon
  • [0699] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, C. Porcel, S. Alonso. Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. In O. Castillo, P. Melin, O. Montiel, R. Sepúlveda, W. Pedrycz, J. Kacprzyk (Eds.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (Advances in Soft Computing 42), ISBN 978-3-540-72433-9. Springer-Verlag, Berlin (2007) 71-80.
  • [0707] S. Alonso, F. Chiclana, E. Herrera-Viedma, F. Herrera. Consistency of Reciprocal Fuzzy Preference Relations. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), Zaragoza (Spain), 123-130, 11-14 September 2007. PDF Icon
  • [0718] D. Molina, F. Herrera, M. Lozano. Algoritmo Memético con Intensidad de Busqueda Local Adaptativa. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 195-202, 11-14 September 2007. PDF Icon
  • [0719] S. García, D. Molina, F. Herrera, M. Lozano. Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial en optimización continua. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 219-227, 11-14 September 2007. PDF Icon
  • [0722] J. Luengo, S. García, F. Herrera. Estudio de la influencia de los métodos de imputación en Redes Neuronales de Base Radial para clasificación. Proceedings of the II Congreso Español de Informática (CEDI 2007). Simposio de Inteligencia Computacional (SICO2007), Zaragoza (Spain), 81-88, 11-14 September 2007. PDF Icon
  • [0723] S. García, A. Fernandez, A.D. Benítez, F. Herrera. Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 95-104, 11-14 September 2007. PDF Icon
  • [0724] J.R. Cano, S. García, F. Herrera, E. Bernadó-Mansilla. Analysis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separability. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 57-63, 11-14 September 2007. PDF Icon
  • [0725] J. Luengo, S. García, F. Herrera. A Study on the Use of Statistical Tests for Experimentation with Neural Networks. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 72-79, June 2007. PDF Icon
  • [0731] J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera. Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule Based Classification Systems. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1794-1799, 23-26 July 2007. PDF Icon
  • [0763] M.J. del Jesús, P. González, F. Herrera. Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007), Honolulu (USA), 50-47, 1-5 April 2007.


2006 (26)

  • [0342] F. Herrera, M. Lozano, D. Molina. Continuous Scatter Search: An Analysis of the Integration of Some Combination Methods and Improvement Strategies. European Journal of Operational Research 169:2 (2006) 450-476. doi: 10.1016/j.ejor.2004.08.009 PDF Icon
  • [0343] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Hybrid learning models to get the interpretability-accuracy trade-off in Fuzzy Modelling. Soft Computing 10:9 (2006) 717-734. doi: 10.1007/s00500-005-0002-1 PDF Icon
  • [0434] J.R. Cano, F. Herrera, M. Lozano. On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6 (2006) 323-332. doi: 10.1016/j.asoc.2005.02.006 PDF Icon
  • [0576] F. Chiclana, E. Herrera-Viedma, F. Herrera. New Consistency Properties for Preference Relations. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (Eds.): Modern Information Processing. From Theory to Applications. Elsevier (2006) 121-131.
  • [0592] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. A General Procedure to Estimate Missing Values for Incomplete Fuzzy Preference Relations. Proceedings of the 11th Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2006), Paris (France), 1796-1802, 2-7 July 2006. PDF Icon
  • [0497] F. Herrera, E. Herrera-Viedma, L. Martínez, L.G. Pérez, A.G. López-Herrera, S. Alonso. A Multi-granular Linguistic Hierarchical Model To Evaluate The Quality Of Web site Services. In C. Kahraman (Ed.): Fuzzy Set Techniques in Industrial Engineering. International Series "Studies in Fuzziness and Soft Computing" 201. Springer Verlag, Heidelberg. Germany (2006) 247-274. I.S.B.N.: 3-540-33516-1. PDF Icon
  • [0577] L. Martínez, L.G. Pérez, J. Liu, J.B. Yang, F. Herrera. A Linguistic Hierarchical Evaluation Model for Engineering Systems. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (Eds.): Modern Information Processing. From Theory to Applications. Elsevier (2006) 295-305.
  • [0525] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera, C. Porcel. Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 34-45, 3-5 April 2006. ISSN 0302-9743. PDF Icon
  • [0571] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In C. Kahraman (Ed.): Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing Vol. 201, Springer Verlag, Heidelberg, Germany, 2006, 89-117. ISBN 978-3-540-33516-0. PDF Icon
  • [0573] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 317-328, 3-5 April 2006. ISSN 0302-9743. PDF Icon
  • [0633] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 1-6, 20-22 September 2006, ISBN 84-689-9547-9.
  • [0611] M.J. del Jesus, A. Fernandez, S. García, F. Herrera. A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 63-72, 27-28 September 2006. PDF Icon
  • [0612] A. Fernandez, S. García, F. Herrera, M.J. del Jesus. Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 89-95, 20-22 September 2006, ISBN 84-689-9547-9. PDF Icon
  • [0613] S. García, J.R. Cano, F. Herrera. Incorporating knowledge in evolutionary prototype selection. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1358-1366, September 2006. PDF Icon
  • [0614] S. García, J.R. Cano, A. Fernandez, F. Herrera. A proposal of evolutionary prototype selection for class imbalance problems. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1415-1423, September 2006. PDF Icon
  • [0631] F.J. Berlanga, M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. 6th Industrial Conference on Data Mining (ICDM 2006), Leipzig (Germany). Lecture Notes in Computer Science 4065, 337-349, 2006. PDF Icon
  • [0632] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06), LNCS 4031, Springer-Verlag, Annecy (France), 452-461, 27-30 June 2006. ISSN 0302-9743. PDF Icon
  • [0655] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 53-62, 27-28 September 2006.
  • [0639] S. Alonso, E. Herrera-Viedma, F. Herrera, F.J. Cabrerizo, F. Chiclana. A Decision aid System to Provide Consistent Linguistic Preference Relations. Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC 2006), Canterbury (UK), 130-135, 2006. PDF Icon
  • [0640] S. Alonso, E. Herrera-Viedma, F. Herrera, F.J. Cabrerizo, F. Chiclana. An Interactive Support system To Aid Experts to Express Consistent Preferences. Proceedings of the 7th International FLINS Conference on Applied Artificial Intelligence, Genove (Italy), 425-432, August 2006. PDF Icon
  • [0641] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana. Dealing With Ignorance Problems in Decision Making Under Fuzzy Preference Relations. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 295-300, 20-22 September 2006, ISBN 84-689-9547-9. PDF Icon
  • [0648] A.G. López-Herrera, F. Herrera, E. Herrera-Viedma, A. Zafra, M. Luque. Aprendiendo Consultas Lingüísticas Difusas con Algoritmos Evolutivos Multiobjetivo. Estudio preliminar. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 247-252, 20-22 September 2006, ISBN 84-689-9547-9. PDF Icon
  • [0649] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, A. Zafra, M. Luque. Aplicando Algoritmos Genéticos Multiobjetivo al Aprendizaje Automático de Consultas Booleanas Extendidas en SRI Lingüísticos Difusos. Proceedings of the I International Conference on Multidisciplinary Information Sciences & Technologies (INSCIT 2006), Mérida (Spain), Volumen II, 194-198, October 2006. PDF Icon
  • [0652] F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera. A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC 2006), Zakopane (Poland), Lecture Notes in Computer Science 4029, 182-191, 25-29 June 2006. PDF Icon
  • [0678] F. Herrera, J.R. Cano. Técnicas de reducción de datos en KDD. El uso de Algoritmos Evolutivos para la Selección de Instancias. Actas del I Seminario Sobre Sistemas Inteligentes (SSI'06), Universidad Rey Juan Carlos, Madrid (Spain), 165-181, Mayo 2006. PDF Icon
  • [0751] F. Herrera, F.A. Márquez, A. Peregrín. Aprendizaje evolutivo cooperativo de reglas y operadores para sistemas difusos lingüísticos. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 123-128, 20-22 September 2006, ISBN 84-689-9547-9. PDF Icon


2005 (35)

  • [0125] J.R. Cano, F. Herrera, M. Lozano. Instance Selection Using Evolutionary Algorithms: An Experimental Study. In: N. Pal, H.N. Teodorescu, L.C. Jain (Eds.): Knowledge Discovery in Advanced Information Systems, Springer Verlag, 2005, 127-152.
  • [0477] D. Molina, F. Herrera, M. Lozano, C. García-Martínez, A.M. Sánchez. Técnicas de Diversidad para Algoritmos Meméticos. Proceeding del Segundo Congreso Mexicano de Computación Evolutiva "COMCEV 2005", 2005, 29-34.
  • [0335] F. Herrera, M. Lozano, A.M. Sánchez. Hybrid Crossover Operators for Real-Coded Genetic Algorithms: An Experimental Study. Soft Computing 9:4 (2005) 280-298. doi: 10.1007/s00500-004-0380-9 PDF Icon
  • [0338] F. Herrera, L. Martínez, P.J. Sánchez. Managing Non-Homogeneous Information in Group Decision Making. European Journal of Operational Research 166 (2005) 115-132. doi: 10.1016/j.ejor.2003.11.031 PDF Icon
  • [0339] J. Casillas, O. Cordón, M.J. del Jesús, F. Herrera. Genetic Tuning of Fuzzy Rule Deep Structures Preserving Interpretability and Its Interaction With Fuzzy Rule Set Reduction. IEEE Trans. on Fuzzy Systems 13:1 (2005) 13-29. doi: 10.1109/TFUZZ.2004.839670 PDF Icon
  • [0340] R. Alcalá, J. Casillas, O. Cordón, A. González, F. Herrera. A Genetic Rule Weighting and Selection Process for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Engineering Applications of Artificial Intelligence 18:3 (2005) 279-296. doi: 10.1016/j.engappai.2004.09.007 PDF Icon
  • [0347] J. Casillas, O. Cordón, I. Fernández de Viana, F. Herrera. Learning Cooperative Linguistic Fuzzy Rules Using the Best-Worst Ant Systems Algorithm. International Journal of Intelligent Systems 20 (2005) 433-452. doi: 10.1002/int.20074 PDF Icon
  • [0401] J.R. Cano, F. Herrera, M. Lozano. Stratification for Scaling Up Evolutionary Prototype Selection. Pattern Recognition Letters, 26, (2005), 953-963. doi: 10.1016/j.patrec.2004.09.043 PDF Icon
  • [0455] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. In Proceedings of the 14th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, Nevada (USA), 797-802, May 22-25, 2005. ISBN 0-7803-9159-4. PDF Icon
  • [0456] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. A New Genetic Fuzzy System Based on Linguistic 2-Tuples to Learn Knowledge Bases. Proceedings of the 1st International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada (Spain), 107-112, March 17-19, 2005. ISBN 84-689-1117-8. PDF Icon
  • [0470] L. Martínez, J. Liu, J.B. Yang, F. Herrera. A Multigranular Hierarchical Linguistic Model for Design Evaluation Based on Safety and Cost Analysis. International Journal of Intelligent Systems 20 (2005) 1161-1194. doi: 10.1002/int.20107 PDF Icon
  • [0473] E. Herrera-Viedma, C. Porcel, F. Herrera, L. Martínez, A.G. López-Herrera. Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. In: D. Ruan, G. Chen, E.E. Kerrera, G. Wets (Eds.): Intelligent Data Mining. Techniques and Applications. Springer-Verlag, 2005, 463-486. PDF Icon
  • [0474] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary Induction of Descriptive Rules in a Market Problem. In: D. Ruan, G. Chen, E.E. Kerrera, G. Wets (Eds.): Intelligent Data Mining. Techniques and Applications. Springer-Verlag, 2005, 267-292. PDF Icon
  • [0475] J.R. Cano, F. Herrera. Técnicas de Reducción de Datos en KDD. Minería de Datos: Técnicas y Aplicaciones, J.A.Gámez, I. García-Varea, J. Hernández-Orallo, 2005, 13-33.
  • [0476] J.R. Cano, F. Herrera, M. Lozano. Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining. Evolutionary Computation in Data Mining, A. Ghosh, L.C. Jain (Eds.), Springer-Verlag, 2005, 21-39. PDF Icon
  • [0493] D. Molina, F. Herrera, M. Lozano. Adaptive Local Search Parameters for Real-Coded Memetic Algorithms. 2005 IEEE Congress on Evolutionary Computation, 2-5 September 2005, Edinburg (Scotland), 888-895.
  • [0498] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera. Managing Incomplete Information in Consensus Processes. In Proceedings of the I Congreso Español de Informática (CEDI 2005). Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2005), 13-16 September, Granada (Spain), 175-182, 2005. PDF Icon
  • [0499] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera. An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. In Proceedings of the Joint EUSFLAT-LFA (IV EUSFLAT and XI LFA), September 7-9, Barcelona (Spain), 904-909, 2005. PDF Icon
  • [0500] D. Molina, F. Herrera, M. Lozano. Técnicas de Diversidad para Algoritmos Meméticos: un estudio experimental. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 39-46, 2005. PDF Icon
  • [0501] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma. Group Decision Making With Incomplete Information. In: Herrera-Viedma, E. (ed.): Procesos de Toma de Decisiones, Modelado y Agregación de Preferencias. Granada (2005) 21-30. I.S.B.N.: 84-934654-1-0. PDF Icon
  • [0502] S. Alonso, F. Herrera, E. Herrera-Viedma, C. Porcel. Fuzzy Linguistic Preference Modelling for Group Decision Making. In: Herrera-Viedma, E. (ed.): Procesos de Toma de Decisiones, Modelado y Agregación de Preferencias. Granada (2005) 55-63. I.S.B.N.: 84-934654-1-0. PDF Icon
  • [0504] F. Herrera. Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions. International Journal of Computational Intelligence Research (IJCIR) 1:1 (2005) 59-67. PDF Icon
  • [0522] M. Lozano, F. Herrera, C. García-Martínez. Técnicas de diversificación para la mejora de los operadores de cruce centrados en un padre.. IV Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinsipirados (MAEB'05), Granada, España, Septiembre, 2005, 389 - 396.
  • [0539] F. Berlanga, M.J. del Jesus, P. González, F. Herrera. Multiobjective evolutionary induction of subgroup discovery rules in a market problem. International Conference on Machine Intelligence, Tozeur-Tunisia, 610-617, 2005.
  • [0540] J.R. Cano, F. Herrera, M. Lozano. Extracción de Modelos Predictivos Interpretables en Conjuntos de Datos de Tamaño Grande mediante la Selección de Conjuntos de Entrenamiento. Actas del III Taller de Minería de Datos y Aprendizaje (TAMIDA'2005), 145-152, 2005.
  • [0548] F.J. Berlanga, M.J. del Jesus, F. Herrera. Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad. I Simposio sobre Lógica Fuzzy y Soft Computing (LFSC'05), Granada (España), 93-100, 2005. PDF Icon
  • [0549] F.J. Berlanga, M.J. del Jesus, F. Herrera. Learning compact fuzzy rule-based classification systems with genetic programming. IVth Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT'05), Barcelona (Spain), 1027-1032, 2005. PDF Icon
  • [0550] F.J Berlanga, M.J. del Jesus, F. Herrera. Learning fuzzy rules using genetic programming: Context-free grammar definition for high-dimensionality problems. I Workshop on Genetic Fuzzy Systems (GFS'05), Granada (Spain), 136-141, 2005. PDF Icon
  • [0551] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia), 589-595, November 5-7, 2005. PDF Icon
  • [0552] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7. PDF Icon
  • [0557] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Evolutionary induction of descriptive fuzzy rules in a market problem. I International Workshop on Genetic Fuzzy Systems (GFS'05). Granada (Spain), 57-63, 2005. PDF Icon
  • [0558] M.J. del Jesus, P. González, F. Herrera. Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05 - CEDI). Granada (Spain), 661-669, 2005. PDF Icon
  • [0560] J.R. Cano, F. Herrera, M. Lozano. A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In: F. Hoffmann, M. Köppen, F. Klawonn, R. Roy, (Eds.): Soft Computing: Methodologies and Applications, Advances in Soft Computing Series, Springer-Verlag, (2005), 271-284.
  • [0561] A.M. Sánchez, F. Herrera, M. Lozano, P. Villar. Estudio de operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 31-38, 2005.
  • [0583] M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms. F. Hoffmann, M. Köppen, F. Klawonn, R. Roy (eds.): Soft Computing: Methodologies and Applications. Advances in Soft Computing Series, Springer-Verlag (2005) 85-96. PDF Icon


2004 (39)

  • [0005] E. Herrera-Viedma, F. Herrera, F. Chiclana, M. Luque. Some Issues on Consistency of Fuzzy Preference Relations. European Journal of Operational Research 154 (2004) 98-109. doi: 10.1016/S0377-2217(02)00725-7 PDF Icon
  • [0389] O. Cordón, I. Fernández de Viana, F. Herrera. Análisis Estadístico de los Parámetros del Sistema de la Mejor-Peor Hormiga. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 478-485, 2004.
  • [0388] J. Casillas, F. Herrera. Experiencias Docentes sobre la Enseñanza de Metaheurísticas en Ingeniería Informática en la Unioversidad de Granada. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 329-335, 2004.
  • [0387] F. Herrera, M. Lozano, A.M. Sánchez. Operadores de Cruce con Múltiples Descendientes para Algoritmos Genéticos con Codificación Real: Estudio Experimental. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 292-299, 2004.
  • [0402] F. Herrera, C. García-Martínez, L. Martínez, P.J. Sánchez, B. Montes. A Java Based System for Evaluating Educational Skills. Proc. EUROFUSE 2004 - Workshop on Current Issues in Data and Knowledge Engineering, Warsa (Poland), B. de Baets, R. de Caluwe, G. de Tre, J. Fodor, J. Kacprzyk, S. Zadrozni (Eds.), 255-264, September 2004.
  • [0131] F. Herrera, E. Herrera-Viedma, L. Martinez, C. Porcel. Information Gathering on the Internet Using a Distributed Intelligent Agent Model with Multi-Granular Linguistic Information. In Fuzzy Logic and The Internet, M. Nikravesh, L.A. Zadeh, V. Loia (Eds) Springer, 2004, 95-116. PDF Icon
  • [0133] F. Herrera, E. Herrera-Viedma, L. Martinez, F. Mata, P.J. Sanchez. A Multi-Granular Linguistic Decision Model for Evaluating the Quality of Network Services. In: Intelligent Sensory Evaluation, Ruan Da (Eds.): Springer-Verlag, 2004, 71-92. PDF Icon
  • [0386] J.R. Cano, F. Herrera, M. Lozano. Estratificación y Selección Evolutiva de Prototipos Aplicadas a Bases de Datos de Gran Tamaño. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 211-220, 2004.
  • [0383] J. Casillas, O. Cordón, F. Herrera, P. Villar. Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 357-362, 2004. PDF Icon
  • [0380] J. Casillas, O. Cordón, F. Herrera, P. Villar. A hybrid learning process for the knowledge base of a fuzzy rule-based system. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 2189-2196, 2004.
  • [0378] F. Chiclana, E. Herrera-Viedma, F. Herrera. Consistency Properties for Preference Relations: T-additive and T-multiplicative Transitivity. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 403-410, 2004. PDF Icon
  • [0375] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma. A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. Modeling Decisions for Artificial Intelligence: First International Conference, MDAI 2004, Barcelona (Spain), Lect. Notes in Computer Science 3131, 227-238, August 2-4, 2004. PDF Icon
  • [0372] M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Algoritmos Meméticos con Codificación Real con Técnicas de Ascensión de Colinas Basadas en el Cruce. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 254-261, 2004.
  • [0371] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Algoritmo Evolutivo de Extracción de Reglas de Asociación aplicado a un Problema de Marketing. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 102-109, 2004.
  • [0370] J. Alcalá-Fdez, R. Alcalá, O. Cordón, F. Herrera. Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas. Actas del Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04), Córdoba (Spain), 118-125, February 4-6, 2004. ISBN 84-688-4224-9. PDF Icon
  • [0368] R. Romero Zaliz, I. Zwir, F. Herrera. Búsqueda Dispersa Multiobjetivo de Promotores en secuencias de ADN. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 141-147, 2004. PDF Icon
  • [0331] O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena. Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Fuzzy Sets and Systems 141:1 (2004) 5-31. doi: 10.1016/S0165-0114(03)00111-8 PDF Icon
  • [0332] O. Cordón, F. Herrera, F.A. Márquez, A. Peregrin. A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modelling. International Journal of Hybrid Intelligent Systems 1:1 (2004) 36-48.
  • [0333] F. Chiclana, E. Herrera-Viedma, F. Herrera, S. Alonso. Induced Ordered Weighted Geometric Operators and Their Use in the Aggregation of Multiplicative Preference Relations. International Journal of Intelligent Systems 19:3 (2004) 233-255. doi: 10.1002/int.10172 PDF Icon
  • [0334] F. Chiclana, F. Herrera, E. Herrera-Viedma. A Study on the Rationality of Induced Ordered Weighted Operators Based on the Reliability of the Information Sources for Aggregation for Group Decision-Making. Kybernetika 40:1 (2004) 121-142. PDF Icon
  • [0336] E. Herrera-Viedma, F. Herrera, L. Martínez, J.C. Herrera, A.G. López-Herrera. Incorporating Filtering Techniques in a Fuzzy Linguistic Multi-Agent Model for Information Gathering on the Web. Fuzzy Sets and Systems 148:1 (2004) 61-83. doi: 10.1016/j.fss.2004.03.006 PDF Icon
  • [0337] M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12:3 (2004) 273-302. doi: 10.1162/1063656041774983 PDF Icon
  • [0348] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera. Integrating Evolutionary Computation Components in Ant Colony Optimization. Recent Developments in Biologically Inspired Computing, L. Nunes de Castro, F.J. Von Zuben (Eds.), Idea Group Publishing, 2004, 148-180 [ISBN: 1-59140-312-X]. PDF Icon
  • [0349] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera. La Metaheurística de Optimización Basada en Colonias de Hormigas: Modelos y Nuevos Enfoques. G. Joya, M.A. Atencia, A. Ochoa, S. Allende (Eds.), Optimizacion Inteligente: Técnicas de Inteligencia Computacional para Optimización, 2004, Servicio de Publicaciones de la Universidad de Málaga, 261-313 [ISBN: 84-9747-034-6]. PDF Icon
  • [0350] M.J. del Jesus, P. González, F. Herrera. Extracción de Conocimiento con Algoritmos Evolutivos y Reglas Difusas. Introducción a la Minería de Datos, J. Hernández, M.J. Ramírez, C. Ferri (Eds.), Prentice Hall, 2004, 383-419.
  • [0391] F. Herrera. Sistemas Difusos Evolutivos. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 1-8, 2004. PDF Icon
  • [0394] F. Herrera, F.A. Márquez, A. Peregrín. Cooperación De Reglas Difusas Basada En La Adaptación Evolutiva De Los Operadores De Conjunción y Los Defuzzyficadores. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 231-236, 2004. PDF Icon
  • [0395] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Aprendizaje y Ajuste Genético De Sistemas Difusos Basado en la Representación de 2-Tuplas Lingüísticas. Actas del XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 333-338, September 15-17, 2004. ISBN 84-609-2160-3. PDF Icon
  • [0396] M.J. del Jesus, P. González, F. Herrera, M. Mesonero. Extracción de Reglas DNF Difusas En Un Problema de Marketing. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 351-356, 2004. PDF Icon
  • [0397] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma. An IOWA Operator Based On Additive Consistency For Group Decision Making. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 443-448, 2004. PDF Icon
  • [0398] C. García-Martínez, F. Herrera, L. Martinez, L.G. Pérez, P.J. Sánchez. Diagrama UML Para Modelos De Toma de Decisión Con Información Heterogénea. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 473-478, 2004. PDF Icon
  • [0400] R. Alcalá, F. Herrera. Genetic Tuning on Fuzzy Systems Based on the Linguistic 2-Tuples Representation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Vol. 1, Budapest (Hungary), 233-238, July 25-29, 2004. ISBN 0-7803-8353-2.
  • [0424] C. García-Martínez, O. Cordón, F. Herrera. An Empirical Analysis of Multiple Objective Ant Colony Optimziation Algorithms for the Bi-criteria TSP. 4th International Workshop, ANTS2004, Brussels (Belgium). M. Dorigo, M. Birattari, C. Blum, L.M. Bambardella, F. Mondada, T. Stützle (Eds.), LNCS 3172, 61-72, September 2004. PDF Icon
  • [0468] L. Martinez, J. Liu, J-B Yang, F. Herrera. A Linguistic Hierarchical Decision Making Model for Evaluating Engineering Systems. Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2004. Perugia, (Italy), Vol. III, 1575-1582, 2004.
  • [0511] J.R. Cano, F. Herrera, M. Lozano. Selección Evolutiva Estratificada de Conjuntos de Entrenamiento para la Obtención de Bases de Reglas con un Alto Equilibrio entre Precisión e Interpretabilidad. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds): Tendencias de la Minería de Datos en España. (2004) 263 - 274. ISBN: 84-688-8442-1..
  • [0512] J. Alcalá-Fdez, M. J. del Jesús, J. M. Garrell, F. Herrera, C. Hervás, L. Sánchez. Proyecto KEEL: Desarrollo de una Herramienta para el Análisis e Implementación de Algoritmos de Extracción de Conocimiento Evolutivos. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España, 2004, 413-424. ISBN: 84-688-8442-1.
  • [0513] F. Herrera, C. Hervás, J. Otero, L. Sánchez. Un estudio empírico preliminar sobre los test estadísticos más habituales en el aprendizaje automático. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España. (2004) 403 - 412. ISBN: 84-688-8442-1.
  • [0520] J. R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. In Proceedings of the IEEE ICDM 2004 Workshop on Alternative Techniques for Data Mining and Knwoledge Discovery, November 2004.
  • [0533] F. Chiclana, S. Alonso, F. Herrera, E. Herrera-Viedma. Additive Consistency as a Tool to Solve Group Decision Making Problems. In Proceedings of the 5th International Conference on Recent Advances in Soft Computing (RASC 2004), Nottingham (UK), 237-242, 2004. PDF Icon


2003 (39)

  • [0515] M. Lozano, F. Herrera, J. R. Cano.. Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms.. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, 2003.
  • [0004] F. Herrera, E. Herrera-Viedma, F. Chiclana. A Study of the Origin and Uses of the Ordered Weighted Geometric Operator in Multicriteria Decision Making. International Journal of Intelligent Systems 18:6 (2003) 689-707. doi: 10.1002/int.10106 PDF Icon
  • [0010] F. Herrera, M. Lozano. Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy and Future Directions. Soft Computing 7:8 (2003) 545-562. doi: 10.1007/s00500-002-0238-y PDF Icon
  • [0011] R. Alcalá, J.R. Cano, O. Cordón, F. Herrera, P. Villar, I. Zwir. Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules. International Journal of Approximate Reasoning 32:2-3 (2003) 187-215. doi: 10.1016/S0888-613X(02)00083-X PDF Icon
  • [0013] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Linguistic Modeling with Weighted Double-Consequent Fuzzy Rules Based on Cooperative Coevolutionary Learning. Integrated Computer Aided Engineering 10 (4) (2003) 343-355. PDF Icon
  • [0014] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez. A Note on the Reciprocity in the Aggregation of Fuzzy Preference Relations Using OWA Operators. Fuzzy Sets and Systems 137:1 (2003) 71-83. doi: 10.1016/S0165-0114(02)00433-5 PDF Icon
  • [0015] O. Cordón, F. Herrera, I. Zwir. A Hierarchical Knowledge-Based Environment for Linguistic Modeling: Models and Iterative Methodology. Fuzzy Sets and Systems 138:2 (2003) 307-341. PDF Icon
  • [0018] E. Pérez, F. Herrera, C. Hernández. Finding Multiple Solutions in Job Shop Scheduling by Niching Genetic Algorithm. Journal of Intelligent Manufacturing 14:3-4 (2003) 323-339. doi: 10.1023/A:1024649709582 PDF Icon
  • [0126] J. Casillas, O. Cordón, F. Herrera, L. Magdalena. Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview. In [MIEMBRO 0007 J. Casillas], [MIEMBRO 0009 O. Cordón], [MIEMBRO 0001 F. Herrera], L. Magdalena (Eds.). Interpretability issues in fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 3-22. ISBN 3-540-02932-X.
  • [0127] R. Alcalá, J.M. Benítez, J. Casillas, J.L. Castro, O. Cordón, A. González, F. Herrera, R. Pérez. Multicriteria genetic tuning for the optimization and control of HVAC systems. In X. Yu, J. Kacprzyk (Eds.): Applied decision support with soft computing, Studies in Fuzziness and Soft Computing Vol. 124, Springer, Heidelberg, Germany, 2003, 308-345. ISBN 978-3-540-02491-0.
  • [0128] J. Casillas, O. Cordón, F. Herrera, L. Magdalena. Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing, Springer-Verlag, Heidelberg, Germany, 2003, 3-24. ISBN 3-540-02933-8.
  • [0129] J. Casillas, O. Cordón, F. Herrera. COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy improvements in linguistic fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 27-45. ISBN 3-540-02933-8.
  • [0130] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Applying Rule Weight Derivation to Obtain Cooperative Rules. In J.M. Benítez, O. Cordón, F. Hoffmann, R. Roy (Eds.). Advances in soft computing. Engineering, design and manufacturing, Springer, Heidelberg, Germany, 2003, 139-148. ISBN 1-85233-755-9.
  • [0132] F. Herrera, E. Herrera-Viedma, L. Martinez, P.J. Sanchez. Combining Heterogeneous Information in Group Decision Making. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 81-92. PDF Icon
  • [0308] R. Alcalá, F. Herrera, O. Cordón. Genetic Fuzzy Systems: Short Introduction and Models for Fuzzy Control of HVAC Systems. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 8-9, September 15-17, 2003.
  • [0307] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Genetic Learning of Accurate TS Models Based on Local Fuzzy Prototyping. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2003), Zittau (Germany), 105-108, September 10-12, 2003. PDF Icon
  • [0306] R. Alcalá, O. Cordón, F. Herrera. Genetic Learning of Weights and Rule Selection For Improving the Fuzzy Control Performance of an HVAC System. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 94-95, September 15-17, 2003.
  • [0303] S.E. Ventura, A.J. Cruz, C. Hervas, F. Herrera. Analisis de Operadores en Programación Genética Basada en Gramáticas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 445-451, February 2003.
  • [0304] B. Carse, A.G. Pipe, I. Renners, A. Grauel, A.F. Gómez, F. Jimenez, G. Sánchez, O. Cordón, F. Herrera, F. Gomide, I. Walter, A. Gonzalez, Raul Perez. Current Issues and Future Directions in Evolutionary Fuzzy Systems Research. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, 81-87, September 2003.
  • [0299] F. Herrera, E. Herrera-Viedma, I. Martínez, P.J. Sánchez. A Linguistic Decision Process for Evaluating the Instalation of an Enterprise Resource Planning System. Proc. of the 7th Joint Conference on Information Science, 164-167, 2003.
  • [0300] F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez. A Methodology For Generating The Semantics of Unbalanced Linguistic Term Sets. Proc. of the 7th Joint Conference on Information Science, North Carolina (USA), 151-154, 2003.
  • [0298] F. Herrera, M. Lozano, A.M. Sánchez. A Taxonomy for the Crossover Operator for Real-Coded Genetic Algorithms: An Experimental Study. International Journal of Intelligent Systems 18 (2003) 309-338. doi: 10.1002/int.10091 PDF Icon
  • [0309] F. Herrera, F.A. Márquez, A. Peregrin. Genetic Adaptation of Rule Connectives and Conjunction Operators in Fuzzy Rule Based Systems: An Experimental Comparative Study. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, 100-104, September 2003.
  • [0312] F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez. Evaluating the Suitability of an Enterprise Resource Planning System. Proceedings of SIGEF 2003. Emergent Solutions for the Information and Knowledge Economy. León (Spain), Vol. 1 375-388, 2003. PDF Icon
  • [0314] M. Lozano, F. Herrera. Estrategias de Reemplazo Para Fomentar Diversidad Útil en los Algoritmos Genéticos Estacionarios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 200-208, February 2003.
  • [0315] F. Herrera, M. Lozano, A.M. Sánchez. Una Propuesta de Hibridación de Operadores de Cruce para Algoritmos Genéticos con Codificación Real. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 237-248, February 2003.
  • [0316] F. Chiclana, E. Herrera-Viedma, F. Herrera. Some Induced Ordered Weighting Averaging Operators to Solve Decision Problems Based on Fuzzy Preference Relations. Proceedings of AGOP'2003, Alcalá de Henares (Spain), 55-60, July 2003. PDF Icon
  • [0322] F. Herrera, E. Herrera-Viedma. Linguistic Preference Modeling: Foundation Models and New Trends. Proceedings of the 4th International Workshop on Preferences and Decisions (TRENTO 2003), Trento, 47-52, September 2003. PDF Icon
  • [0514] J. R. Cano, F. Herrera, M. Lozano. A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September 2003..
  • [0326] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera. Análisis de Distintas Vertientes para la Paralelización de los Algoritmos de Optimización Basados en Colonias de Hormigas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 160-167, February 2003. PDF Icon
  • [0328] R. Alcalá, O. Cordón, F. Herrera. Algoritmos Genéticos para el ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03), Gijón (Spain), 39-46, February 5-7, 2003. ISBN 84-607-65-26-1.
  • [0329] F. Herrera, E. Herrera-Viedma, F. Chiclana. Additive Consistency of Fuzzy Preference Relations: Characterization and Construction. Proceedings of the 4th International Workshop on Preferences and Decisions (TRENTO 2003), Trento, 39-46, September 2003. PDF Icon
  • [0351] R. Alcalá, O. Cordón, F. Herrera. Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. In J. Lawry, J. Shanahan, A. Ralescu (Eds.). Modelling with Words, LNCS 2873, Springer-Verlag, Germany, 2003, 44-63. ISBN 3-540-20487-3.
  • [0352] F. Chiclana, F. Herrera, E. Herrera-Viedma. Reciprocity and Consistency of Fuzzy Preference Relations. Principles of Fuzzy Preference Modelling and Decision Making, B. De Baets, J. Fodor (Eds.), Academia Press, 2003, 123-142. PDF Icon
  • [0353] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar. A Multiobjetive Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 315-326.
  • [0354] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.): Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing Vol. 129, Springer Verlag, Germany, 2003, 277-301. ISBN 3-540-02933-8.
  • [0355] O. Cordón, M.J. del Jesus, F. Herrera, L. Magdalena, P. Villar. A Multiobjective Genetic Learning Process for Joint Feature Selection and Granularity and Context Learning in Fuzzy Rule-Based Classification Systems. Interpretability Issues in Fuzzy Modeling. /J./ Casillas, O. Cordón, F. Herrera, L. Magdalena. (Springer Verlag, Studies in Fuzziness and Soft Computing Vol. 128), 2003, 79-99.
  • [0361] J.R. Cano, F. Herrera, M. Lozano. Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: An Experimental Study. IEEE Trans. on Evolutionary Computation 7:6 (2003) 561-575. doi: 10.1109/TEVC.2003.819265 PDF Icon
  • [0426] J.J. Aguilera, M.J. del Jesus, P. González, F. Herrera, M. Navío, J. Sáinz. Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 548-555, February 2003.


2002 (40)

  • [0012] O. Cordón, I. Fernández de Viana, F. Herrera. Analysis of the Best-Worst Ant System and its Variants on the TSP. Mathware and Soft Computing 9:2-3 (2002) 177-192. PDF Icon
  • [0016] E. Herrera-Viedma, F. Herrera, F. Chiclana. A Consensus Model for Multiperson Decision Making with Different Preference Structures. IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems and Man 32:3 (2002) 394-402. doi: 10.1109/TSMCA.2002.802821 PDF Icon
  • [0023] J. Casillas, O. Cordón, F. 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: Cybernetics 32:4 (2002) 526-537. doi: 10.1109/TSMCB.2002.1018771 PDF Icon
  • [0024] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, L. Martinez, M.A. Vila. A Communication Model Based on the 2-tuple Fuzzy Linguistic Representation for a Distributed Intelligent Agent System on Internet. Soft Computing 6:5 (2002) 320-328. doi: 10.1007/s00500-002-0185-7 PDF Icon
  • [0025] O. Cordón, F. Herrera, I. Zwir. Linguistic Modeling by Hierarchical Systems of Linguistic Rules. IEEE Transactions on Fuzzy Systems 10:1 (2002) 2-20. doi: 10.1109/91.983275 PDF Icon
  • [0026] F. Herrera, E. López, M.A. Rodríguez. A Linguistic Decision Model for Promotion Mix Management Solved with Genetic Algorithms. Fuzzy Sets and Systems 131:1 (2002) 47-61. doi: 10.1016/S0165-0114(01)00254-8 PDF Icon
  • [0027] O. Cordón, F. Herrera, T. Stützle. A Review of the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. Mathware and Soft Computing 9:2-3 (2002) 141-175. PDF Icon
  • [0031] F. Chiclana, F. Herrera, E. Herrera-Viedma. A Note on the Internal Consistency of Various Preference Representations. Fuzzy Sets and Systems 131:1 (2002) 75-78. doi: 10.1016/S0165-0114(01)00256-1 PDF Icon
  • [0134] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Techniques for designing and refining linguistic fuzzy models to improve their accuracy. In C.T. Leondes (Ed.): Intelligent Systems: Techniques and Applications, Volume II: Fuzzy Systems, Neural Networks and Expert Systems, CRC Press, Boca Raton, EE.UU., 2002, 143-180. ISBN 0-8493-1121-7.
  • [0135] F. Herrera, E. Herrera-Viedma, L. Martinez. Representation Models for Aggregating Linguistic Information: Issues and Analysis. Aggregation operators: New trends and applications. T. Calvo, G. Mayor, R. Mesiar (Eds.), (Physica-Verlag, 2002), 245-259. PDF Icon
  • [0136] F. Chiclana, F. Herrera, E. Herrera-Viedma. The Ordered Weighted Geometric Operator: Properties and Applications in MCDM Problems. Technologies for Constructing Intelligent Systems 2: Tools. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), (Physica-Verlag, 2002), 173-183. PDF Icon
  • [0137] J. Casillas, O. Cordón, F. Herrera. Different Approaches to Induce Cooperation in Fuzzy Linguistic Models Under the COR Methodology. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems 1: Tasks (Physica-Verlag, 2002), 321-334. PDF Icon
  • [0178] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez. A Greedy Randomized Adaptive Search Procedure Applied to the Clustering Problem as an Initialization Process Using K-Means as a Local Search Procedure. International Journal of Intelligent and Fuzzy Systems 12 (2002) 235-242. PDF Icon
  • [0201] F. Herrera, E. Herrera-Viedma, L. Martínez. An Information Retrieval System with Unbalanced Linguistic Information Based on the Linguistic 2-tuple Model. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 23-30, 2002. PDF Icon
  • [0202] F. Herrera, L. Martínez, P.J. Sánchez, E. Herrera-Viedma. Managing Heterogeneous Information in Group Decision Making. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 439-446, 2002. PDF Icon
  • [0203] F. Herrera, L. Martínez, E. Herrera-Viedma, F. Chiclana. Fusion of Multigranular Linguistic Information Based on the 2-tuple Fuzzy Linguistic Representation Model. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 1155-1162, 2002. PDF Icon
  • [0207] E. Herrera-Viedma, F. Herrera, O. Cordón, M. Luque, A.G. López-Herrera. An Information Retrieval System with Weighed Querying Based on Multi-Granular Linguistic Information. Seventh Meeting of the EURO Working Group on Fuzzy Sets. Workshop on Information Systems. Proc. of EUROFUSE 2002, Varenna (Italy), 127-133, September 2002. PDF Icon
  • [0209] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo. Cooperative coevolution for learning fuzzy rule-based systems. Proc. of the 5th International Conference on Artificial Evolution (EA'01), Le Creusot, France (2001) 97-108. Also in P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, M. Schoenauer (Eds.), Artificial Evolution, Lecture Notes on C. S., LNCS 2310 311, 2002.
  • [0210] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Hybridizing hierarchical and weighted linguistic rules. Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002), Madrid (Spain), 812-816, March 11-14, 2002.
  • [0211] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Hybridization of components to improve the accuracy in linguistic fuzzy modeling. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Vol. 3, Annecy (France), 1969-1977, July 1-5, 2002.
  • [0212] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvements to the COR nethodology by means of weighted fuzzy rules. 7th Online World Conference on Soft Computing and its Applications (WSC7 2002), September 23 - October 4, 2002.
  • [0213] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improving simple linguistic fuzzy models by means of the weighted COR methodology. Proceedings of the 8th Ibero-American Conference on Artificial Intelligence, In F.J. Garijo, J.C. Riquelme, M. Toro (Eds.): Advances in Artificial Intelligence - IBERAMIA 2002, LNCS 2527, Seville (Spain), 294-302, November 12-15, 2002. ISSN 0302-9743.
  • [0214] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Mejoras a la metodología COR mediante el uso de reglas difusas ponderadas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF 2002), León (Spain), 541-546, September 17-20, 2002.
  • [0360] O. Cordón, I. Fernández de Viana, F. Herrera. Analysis of the Best-Worst Ant System and Its Variants on the QAP. Third International Workshop, ANTS2002, Brussel (Belgium), Springer Verlag, LNCS 2463, 228-234, September 2002. PDF Icon
  • [0403] J.R. Cano, F. Herrera, M. Lozano. Selección Evolutiva de Instancias en Minería de Datos: Un Estudio Experimental. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 137-152, November 2002.
  • [0404] J.J. Aguilera, M.J. del Jesús, P. González, F. Herrera, M. Navío, J. Sáiz. Modelos Evolutivos de Extracción de Conocimiento en Aplicaciones Médicas: Enfermedad de Parkinson y Urgencia Psiquiátricas. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 193-208, November 2002.
  • [0405] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez. A GRASP Algorithm for Clustering. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 214-223, November 2002.
  • [0406] O. Cordón, F. Herrera, J. De la Montaña, A.M. Sánchez, P. Villar. A Prediction System of Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 381-391, November 2002.
  • [0407] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez, P. Villar. Múltiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with BLX-α Crossover Operator for Real-Coded Genetic Algorithms. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 392-401, November 2002. PDF Icon
  • [0408] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez. OWG Operators that Maintain Reciprocity property in the Aggregation of Multiplicative Preference Relations. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 165-169, September 2002.
  • [0409] O. Cordón, F. Herrera, M.J. del Jesus, L. Magdalena, A.M. Sánchez, P. Villar. Utilización de Algoritmos Genéticos Multiobjetivo para Selección de Características y Diseño de la Base de Conocimiento de un Sistema de Clasificación Basado en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 411-416, September 2002.
  • [0410] O. Cordón, F. Herrera, F.A. Márquez, A. Peregrín. Estudio de los Métodos de Defuzzificación Adaptativos Evolutivos en Sistemas Basados en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 429-435, September 2002.
  • [0411] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 823-830, September 2002.
  • [0412] F. Herrera, L. Martínez. Group Decisión Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS'02), Vol. 1, Ciudad Real (Spain), 358-365, April 2002.
  • [0413] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS 2002), Vol. 1, Ciudad Real (Spain), 325-333, April 3-6, 2002.
  • [0414] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez. Una Propuesta de Generación de Múltiples Descendientes y de Selección de los 2 Mejores para Algoritmos Genéticos con Codificación Real con el Operador de Cruce BLX-α. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 15-22, 2002.
  • [0415] O. Cordón, F. Herrera, J. de la Montaña, A.M. Sánchez, P. Villar. Aprendizaje evolutivo de un sistema basado en reglas difusas para la predicción de enfermedades cardiovasculares. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 183-190, 2002.
  • [0416] O. Cordón, I. Fernández de Viana, F. Herrera. Análisis de las tres componentes que distinguen al sistema de la mejor peor hormiga. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 260-266, 2002.
  • [0417] J.J. Aguilera, MJ. del Jesús, R. González , F. Herrera, C. Iríbar, M. Navío. Un estudio sobre la aplicación de la selección de características y prototipos evolutivos al del diagnóstico de la Enfermedad del Parkinson. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 361-368, 2002.
  • [0418] S. Ventura, F. Herrera, J.M. Berná, C. Hervás. Evolución guiada mediante aprendizaje. Comparación en problemas de optimización. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 430-336,2002.


2001 (27)

  • [0017] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Building Fuzzy Graphs: Features and Taxonomy of Learning Non-Grid-Oriented Fuzzy Rule-Based Systems. International Journal of Intelligent Fuzzy Systems, 11 (2001) 99-119. PDF Icon
  • [0019] R. Alcalá, J. Casillas, J.L. Castro, A. Gonzalez, F. Herrera. A Multicriteria Genetic Tuning for Fuzzy Logic Controllers. Mathware and Soft Computing, Vol. 8:2 (2001) 179-201. PDF Icon
  • [0020] F. Herrera, L. 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:suppl. (Sept. 2001) 33-48. PDF Icon
  • [0021] O. Cordón, F. Herrera, P. Villar. Generating the Knowledge Base of a Fuzzy Rule-Based System by the Genetic Learning of Data Base. IEEE Transactions on Fuzzy Systems 9:4 (2001) 667-674. PDF Icon
  • [0032] J. Casillas, O. Cordón, F. Herrera, M.J. Del Jesus. Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High-Dimensional Problems. Information Sciences 136:1-4 (2001) 135-157. PDF Icon
  • [0033] F. Herrera, M. Lozano. Adaptative Genetic Operators Based on Coevolution with Fuzzy Behaviors. IEEE Transactions on Evolutionary Computation 5:2 (2001) 149-165. PDF Icon
  • [0035] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvement to the Cooperative Rules Methodology by Using the Ant Colony System Algorithm. Mathware and Soft Computing Vol 8:3 (2001) 321-335. PDF Icon
  • [0036] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Information Science 136 (2001) 85-107. PDF Icon
  • [0039] O. Cordón, F. Herrera, I. Zwir. Fuzzy Modeling by Hierarchically Built Fuzzy Rule Bases. International Journal of Approximate Reasoning 27 (2001) 61-93. PDF Icon
  • [0040] F. Chiclana, F. Herrera, E. Herrera-Viedma. Integrating Multiplicative Preference Relations in a Multipurpose Decision Making Model Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 122 (2001), 277-291. PDF Icon
  • [0041] F. Herrera, L. Martínez. A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in Multiexpert Decision-Making. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 31:2 (2001) 227-234. PDF Icon
  • [0042] F. Chiclana, F. Herrera, E. Herrera-Viedma. Multiperson Decision Making Based on Multiplicative Preference Relations. European Journal of Operational Research 129 (2001) 372-385. PDF Icon
  • [0043] O. Cordón, F. Herrera. Hybridizing Genetic Algorithms with Sharing Scheme and Evolution Strategies for Designing Approximate Fuzzy Rule-Based Systems. Fuzzy Sets and Systems 118:2 (2001) 235-255. PDF Icon
  • [0044] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. A Linguistic Decision Model for Personnel Management Solved with a Linguistic Biobjetictive Genetic Algorithm. Fuzzy Sets and Systems 118:1 (2001) 47-64. PDF Icon
  • [0138] M. Navío, J. Aguilera, M.J. del Jesus, R. Gonzalez, F. Herrera, M.C. Iribar. Feature Selection Algorithms Applied to Parkinson's Disease. Medical Data Analysis, LNCS 2199, 2001, 195-200.
  • [0140] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, M.A. Vila. Combining Linguistic Information in a Distributed Intelligent Agent Model for Information Gathering on the Internet. In: Computing with Words, P.P. Wang, Ed., (John Wiley & Son, Wiley Series on Intelligent Systems) 2001, 251-276.
  • [0215] F. Herrera, E. Herrera-Viedma, L. Martínez. The use of linguistic information in operational research. 9th IFSA World Congress and 20th NAFIPS International Conference. Vancouver (Canada), 857-862, 2001.
  • [0216] F. Herrera, E. Herrera-Viedma, L. Martínez. A Hierarchical Ordinal Model for Managing Unbalanced Linguistic Term Sets Based on the Linguistic 2-Tuple Model. EUROFUSE Workshop on Preference Modelling and Applications, Granada (España), 201-206, 2001. PDF Icon
  • [0217] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez. Preserving Reciprocity in the Aggregation of Fuzzy Preference Relations Using OWA Operators. EUROFUSE Workshop on Preference Modelling and Applications, Granada (España), 105-110, 2001. PDF Icon
  • [0218] J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera. Genetic tuning of fuzzy rule-based systems integrating linguistic hedges. Proceedings of the 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver (Canada), 1570-1574, 2001.
  • [0219] J. Casillas, O. Cordón, F. Herrera. A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (UK), 118-121, 2001.
  • [0220] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (United Kingdom), 237-240, September 5-7, 2001.
  • [0420] M. Navío, J.J. Aguilera, M.J. del Jesus, R. González, F. Herrera, C. Iríbar. Feature Selection Algorithms Applied to Parkinson's Disease. Medical Data Analysis (ISMDA'2001, Second International Symposium), Madrid (Spain), Lecture Notes in Computer Science 2199 195-200, October, 2001.
  • [0421] O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena. Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1241-1246, July 2001.
  • [0422] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1253-1258, July 2001.
  • [0423] O. Cordón, F. Herrera, I. Zwir. Analyzing and Extending Hierarchical Systems of Linguistic Rules. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1121-1126, July 2001.
  • [1607] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo. Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution, P. Collet, C. Fonlupt, J-K. Hao, E. Lutton, M. Schoenauer (Eds.), Lecture Notes in Computer Science 2310, Springer-Verlag, 2002, 311-322. (Selected Papers of the 5th Intl. Conf. EA2001, Lecreusot, France, Oct. 2001).


2000 (30)

  • [0046] F. Herrera, L. Martínez. A 2-tuple Fuzzy Linguistic Representation Model for Computing with Words. IEEE Transactions on Fuzzy Systems 8:6 (2000) 746-752. PDF Icon
  • [0047] F. Herrera, L. Martínez. An Approach for Combining Numerical and Linguistic Information based on the 2-tuple fuzzy linguistic representation model in Decision Making. International Journal of Uncertainty , Fuzziness and Knowledge -Based Systems 8:5 (2000) 539-562. PDF Icon
  • [0048] F. Herrera, M. Lozano. Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Applied Intelligence 13:3 (2000) 187-204. PDF Icon
  • [0049] O. Cordón, F. Herrera, P. Villar. Analysis and Guidelines to Obtain a Good Fuzzy Partition Granularity for Fuzzy Rule-Based Systems using Simulated Annealing. International Journal of Approximate Reasoning 25:3 (2000) 187-215. PDF Icon
  • [0050] O. Cordón, F. Herrera. A Proposal for Improving the Accuracy of Linguistic Modeling. IEEE Transactions on Fuzzy Systems 8:3 (2000) 335-344. PDF Icon
  • [0051] F. Herrera, M. Lozano. Gradual Distributed Real-Coded Genetic Algorithms. IEEE Transactions on Evolutionary Computation 4:1 (2000) 43-63. PDF Icon
  • [0052] F. Herrera, E. Herrera-Viedma. Choice Functions and Mechanisms for Linguistic Preference Relations. European Journal of Operational Research 120 (2000) 144-161. PDF Icon
  • [0053] F. Herrera, E. Herrera-Viedma, L. Martinez. A Fusion Approach for Managing Multi-Granularity Linguistic Term Sets in Decision Making. Fuzzy Sets and Systems 114 (2000) 43-58. PDF Icon
  • [0054] O. Cordón, F. Herrera, A. Peregrín. Searching for Basic Properties Obtaining Robust Implication Operators in Fuzzy Control. Fuzzy Sets and Systems 111:2 (2000) 237-251. PDF Icon
  • [0055] F. Herrera, E. Herrera-Viedma. Linguistic Decision Analysis: Steps for Solving Decision Problems under Linguistic Information. Fuzzy Sets and Systems 115 (2000) 67-82. PDF Icon
  • [0141] F. Herrera, M. Lozano. Adaptative Control of the Mutation Probability by Fuzzy logic Controllers. Parallel Problem Solving from Nature, LNCS 1917, 2000, 335-344.
  • [0142] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Techniques for Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling and Their Application. In: KNOWLEDGE-BASED SYSTEMS. Techniques and Applications Vol III. C.T. Leondes (Ed.), Academic Press, EE.UU., 2000, 889-941. ISBN 0-12-443878-4.
  • [0143] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar, I. Zwir. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling. In: Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, E. Kerre, D. Ruan (Eds.), Kluwer Academic Pub., 2000, 189-221. PDF Icon
  • [0221] F. Herrera, M. Lozano. Adaptive Control of the Mutation Probability by Fuzzy Logic Controllers. Proc. 6th International Conference on Parallel Problem Solving from Nature - PPSN VI, Paris (France). M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, H-P. Schwefel (Eds.), Lecure Notes in Computer Science 1917, 335-344, September 2000.
  • [0222] O. Cordón, I. Fernández de Viana, F. Herrera, Ll. Moreno. A New ACO Model Integrating Evolutionary Computation Concepts: The Best-Worst Ant System. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), 22-29, September 7-9, 2000. PDF Icon
  • [0223] J. Casillas, O. Cordón, F. Herrera. Learning Fuzzy Rule-Based Systems Using Ant Colony Optimization Algorithms. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), September 7-9, 13-21, 2000. PDF Icon
  • [0224] F. Herrera, E. López, L. Martínez. The use of linguistic preference modelling based on 2-tuples and heuristics searches for improving enterprise processes. Proceedings of of MS'2000. Interantional Conference on Modelling and Simulation, Las Palmas de Gran Canaria (Spain), R. Berriel, V. Hernandez, R. Montenegro, J. Rocha (Eds.), 657-664, September 2000.
  • [0225] M.J. del Jesus, F. Herrera. Influencia del Uso de Modificadores Lingüísticos y Grados de Certeza en un Sistema de Clasificacion Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 303-308, Septiembre 2000.
  • [0226] F. Herrera, L. Martinez, P.J. Sanchez. Manejo de Contextos Lingüísticos Multigranulares Jerarquicos para el Modelado Lingüístico de Preferencias Basado en 2-tuplas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 223-227, Septiembre 2000.
  • [0227] O. Cordón, F. Herrera, P. Villar. Aprendizaje Evolutivo de la Granularidad e las particiones Difusas y las Funciones de Pertenencia de un Sistema Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 417-422, Septiembre 2000.
  • [0228] J. Casillas, O. Cordón, F. Herrera. Generacion de Reglas Difusas con Buen Nivel de Cooperacion Mediante ALgoritmos de Hormigas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 291-296, Septiembre 2000.
  • [0229] F. Chiclana, F. Herrera, E. Herrera-Viedma. The Ordered Weighted Geometric Operator: Properties and Application. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. II, 985-991, 2000.
  • [0230] E. Herrera-Viedma, F. Herrera, F. Chiclana. A Feedback Process to Model the Consensus in Multiperson Decision Making with Different Preference Representations. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 626-632, 2000.
  • [0231] O. Cordón, M.J. del Jesus, F. Herrera. Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 88-95, 2000. PDF Icon
  • [0232] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 430-437, 2000. PDF Icon
  • [0233] F. Herrera, L. Martinez, P.J. Sanchez. Integration of Heterogeneous Information in Decision-Making Problems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 633-640, 2000.
  • [0234] F. Herrera, L. Martinez. Computing with Words using the 2-tuple Linguistic Representation Model: Analysis of Consistency and Description. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. II, 765-772, 2000.
  • [0235] J. Casillas, O. Cordón, F. Herrera. Improving the Wang and Mendel's Fuzzy Rule Learning Method by Inducing Cooperation Among Rules. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1682-1688, 2000. PDF Icon
  • [0236] O. Cordón, F. Herrera, I. Zwir. Hierarchical Knowledge Bases for Fuzzy Rule-Based Systems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1770-1777, 2000. PDF Icon
  • [0237] J. Casillas, O. Cordón, F. Herrera. Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas. Proceedings of the X Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2000), Sevilla (Spain), 291-296, 2000.


1999 (19)

  • [0056] O. Cordón, F. Herrera. A Two-Stage Evolutionary Process for Designing TSK Fuzzy Rule-Based Systems. IEEE Transactions on Systems, Man,and Cybernetics. Part B: Cybernetics Vol. 29:6 (December 1999) 703-715. PDF Icon
  • [0057] O. Cordón, F. Herrera, A. Peregrín. A Practical Study on the Implementation of Fuzzy Logic Controllers. The International Journal of Intelligent Control and Systems 3 (1999) 49-91. PDF Icon
  • [0058] F. Herrera, M. Lozano, C. Moraga. Hierarchical Distributed Genetic Algorithms. International Journal of Intelligent Systems 14:11 (1999) 1099-1121. PDF Icon
  • [0059] O. Cordón, M. J. del Jesus, F. Herrera, M. Lozano. MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. International Journal of Intelligent Systems Vol. 14:11 (1999) 1123-1153. PDF Icon
  • [0060] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. Solving an Assignment-Selection Problem Under Linguistic Valuations with Genetic Algorithms. European Journal of Operational Research 119:2 (1999) 326-337. PDF Icon
  • [0061] O. Cordón, M.J. del Jesus, F. Herrera. A Proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems. International Journal of Approximate Reasoning Vol. 20 (1999), 21-45. PDF Icon
  • [0062] O. Cordón, F. Herrera, L. Sánchez. Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Applied Intelligence 10 (1999) 5-24. PDF Icon
  • [0144] O. Cordón, M.J. del Jesus, F. Herrera. Evolutionary Approaches to the Learning of Fuzzy Rule-Based Classification Systems. In: Evolution of Enginnering and Information Systems and Their Applications. L.C. Jain (Ed.), CRC Press, 1999, 107-160. PDF Icon
  • [0145] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez. A Linguistic Decision Model to Suppliers Selection in International Purchasing. In: Computing with Words in Information/Intelligent Systems 2. Applications, J. Kacprzyk, L. Zadeh Eds., (Physica-Verlag, 1999), 500-524.
  • [0146] M. Delgado, F. Herrera, E. Herrera-Viedma, J.L. Verdegay, M.A. Vila. Aggregation of Linguistic Information Based on a Symbolic Approach. In: Computing with Words in Information/Intelligent Systems I. Foundations, L.A. Zadeh and J. Kacpryzk, Eds., (Physica-Verlag, 1999), 428-440.
  • [0147] O. Cordón, A. González, F. Herrera, R. Pérez. Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling. Computing with Words in Intelligent/Information Systems 2. Applications, J. Kacprzyk, L. Zadeh (Eds.), Physica-Verlag, 1999. PDF Icon
  • [0238] J.J. Aguilera, M.J. del Jesus, F. Herrera. Hibridacion de Metodos Filtro y de Envoltura para Seleccion de Caracteristicas. VIII COnferencia de la Asociacion Española para la Inteligencia Artificial, Murcia (Spain), Vol. I, 58-63, Noviembre 1999.
  • [0239] O. Cordón, F. Herrera, Ll. Moreno. Integracion de Conceptos de Computacion Evolutiva en un Nuevo Modelo de Colonias de Hormigas. VIII Conferencia de la Asociacion Española para la Inteligencia Artificial, (Seminario Especializado en Computacion Evolutiva), Murcia (Spain), Vol. II, 98-105, Noviembre 1999.
  • [0240] O. Cordón, F. Herrera. ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. Third Intelligent Data Analysis Conference (IDA). Amsterdam (Holland). D.J. Hand, J.N. Kok. M.R. Berthold (Eds.), LNCS no. 1642, Springer-Verlag, 15-26, August 1999. PDF Icon
  • [0241] O. Cordón, F. Herrera, P. Villar. Influence of Fuzzy Partition Granularity on Fuzzy Rule-Based System Behaviour. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 159-162, September 1999.
  • [0242] O. Cordón, F. Herrera, A. Peregrin. Characterisation of Implication Operators in Fuzzy Rule Based Systems from Basic Properties. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 163-166, September 1999.
  • [0243] F. Herrera, L. Martínez. A Selection Method based on the 2-tuple Linguistic Representation Model for Decision-Making with Multi-Granularity Linguistic Information. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 453-456, September 1999.
  • [0244] F. Herrera, L. Martinez. A 2-tuple Fuzzy Linguistic Representation Model Based on a Symbolic Translation. Joint EUROFUSE-SIC '99 International Conference. Fourth Meeting Of The EURO Working Group on Fuzzy Sets And Second International Conference on Soft And Intelligent Computing, Budapest (Hungary), 25-28, May 1999.
  • [0245] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, M.A. Vila. A Linguistic Information Process in a Distributed Intelligent Agent Model for Information Gathering on the Internet. Joint EUROFUSE-SIC '99 International Conference. Fourth Meeting Of The EURO Working Group on Fuzzy Sets And Second International Conference on Soft And Intelligent Computing, Budapest (Hungary), 172-177, May 1999.


1998 (15)

  • [0063] O. Cordón, M.J. del Jesus, F. Herrera. Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems. Mathware and Soft Computing. Vol. 5: 2-3 (1998), 321-332. PDF Icon
  • [0064] O. Cordón, M.J. del Jesus, F. Herrera. Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods. International Journal of Intelligent Systems 13:10-11 (1998) 1025-1053. PDF Icon
  • [0065] F. Herrera, M. Lozano, J.L. Verdegay. A Learning Process for Fuzzy Control Rules using Genetic Algorithms. Fuzzy Sets and Systems 100 (1998) 143-158. PDF Icon
  • [0066] M. Delgado, F. Herrera, E. Herrera-Viedma, L. Martinez. Combining Numerical and Linguistic Information in Group Decision Making. Information Sciences 107 (1998) 177-194. PDF Icon
  • [0067] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Real-Coded Genetic Algorithms: Operators and tools for the Behaviour Analysis. Artificial Intelligence Review 12 (1998) 265-319. PDF Icon
  • [0068] F. Chiclana, F. Herrera, E. Herrera-Viedma. Integrating Three Representation Models in Fuzzy Multipurpose Decision Making Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 97 (1998) 33-48. PDF Icon
  • [0069] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. Modelado Cualitativo Utilizando una Metodología Evolutiva de Aprendizaje Iterativo de Bases de Reglas Difusas. Revista Iberoamericana de la Asociación Española para la Inteligencia Artificial. Num. 5 (1998), 56-61. PDF Icon
  • [0070] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Choice Processes for Non-Homogeneous Group Decision Making in Linguistic Setting. Fuzzy Sets and Systems. Vol. 94 (1998) 287-308.
  • [0247] F. Herrera, M. Lozano, C. Moraga. Hybrid Distributed-Real Coded Genetic Algorithms. 5th Int. Conf. Parallel Problem SOlving from Nature - PPSN V, Amsterdam (The Netherlands). A.E. Eiben, T. Back, M. Schoenauer, H-P. Schwefel (Eds.), LNCS 1498, Springer-Verlag, 603-612, September 1998.
  • [0248] O. Cordón, M.J. del Jesus, F. Herrera. Métodos de Razonamiento Aproximado Basados en el Concepto de Mayoría Difusa para Sistemas de Clasificación. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 399-404, 1998.
  • [0249] O. Cordón, F. Herrera. Una Propuesta para Mejorar la Precisión del Modelado Linguístico. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 199-204, 1998.
  • [0250] F. Herrera, E. Herrera-Viedma, L. Martínez. Un Modelo de Seleccion para Problemas de Decision con Multiples Expertos e Informacion Lingüística Multi-Granular. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 333-338, 1998.
  • [0251] F. Herrera, E. Herrera-Viedma. Choice Functions for Linguistic Preference Relations. 6th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'98. Paris (Francia), 152-157, 1998.
  • [0252] O. Cordón, F. Herrera, L. Sánchez. Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes. Eleventh International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA-98-AIE). Castellón (Spain), LNAI, no. 1415, Springer-Verlag, 478-486, 1998.
  • [0444] O. Cordón, A. Espín, W. Fajardo, F. Herrera, L. Sánchez. Estimación de la Longitud de Línea de Baja Tensión Mediante Técnicas Evolutivas de Análisis de Datos. Octava Reunión Nacional de Grupos de Investigación en Ingeniería Eléctrica. Cádiz (Spain), 1998.


1997 (22)

  • [0071] F. Herrera, E. Herrera-Viedma. Aggregation Operators for Linguistic Weighted Information. IEEE Transactions on Systems, Man and Cybernetics. 27 (1997) 646-656. PDF Icon
  • [0072] O. Cordón, F. Herrera. A Three-Stage Evolutionary Process for Learning Descriptive and Approximative Fuzzy Logic Controller Knowledge Bases from Examples. International Journal of Approximate Reasoning 17:4 (1997) 369-407. PDF Icon
  • [0073] A. Gonzalez, F. Herrera. Multi-Stage Genetic Fuzzy Systems Based on the Iterative Rule Learning Approach. Mathware and Soft Computing 4:3 (1997) 233-249. PDF Icon
  • [0074] F. Herrera, J.L. Verdegay. Fuzzy Sets and Operations Research. Perspectives. Fuzzy Sets and Systems 90:2 (1997) 207-218. PDF Icon
  • [0075] F. Herrera, M. Lozano, J.L. Verdegay. Fuzzy Connectives Based Crossover Operators to Model Genetic Algorithms Population Diversity. Fuzzy Sets and Systems. Vol. 92-1 (1997) 21-30. PDF Icon
  • [0076] F. Herrera, L. Magdalena. Genetic Fuzzy Systems. Tatra Mountains Mathematical Publications Vol. 13, 1997, 93-121. R. Mesiar,B. Riecan(Eds.) Fuzzy Structures. Current Trends. L. N. Tutorial: Genetic Fuzzy Systems.7th IFSA World Congress,Prage,June 97.
  • [0077] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Linguistic Measures Based on Fuzzy Coincidence for Reaching Consensus in Group Decision Making. International Journal of Approximate Reasoning 16 (1997), 309-334. PDF Icon
  • [0078] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Rational Consensus Model in Group Decision Making using Linguistic Assessments. Fuzzy Sets and Systems Vol. 88:1 (1997), 31-49. PDF Icon
  • [0079] O. Cordón, F. Herrera, A. Peregrín. Applicability of the Fuzzy Operators in the Design of Fuzzy Logic Controllers. Fuzzy Sets and Systems Vol. 86:1 (1997), 15-41. PDF Icon
  • [0148] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Consensus Based on Fuzzy Coincidence for Group Decision Making in Linguistic Setting. Consensus Under Fuzziness, J. Kacprzyk, H. Nurmi, M. Fedrizzi (eds.), (International Series in Intelligent Technologies) Kluwer Academic, 1997, 121-146.
  • [0149] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Applications of the Linguistic OWA Operator in Group Decision Making. In: The Ordered Weighted Averaging Operators: Theory, Methodology and Applications, R.R. Yager and J. Kacprzyk (Eds.), Kluwer Academic, 1997, 207-218.
  • [0150] F. Herrera, E. Herrera-Viedma. On the Linguistic OWA Operator and Extensions. In: The Ordered Weighted Averaging Operators: Theory, Methodology and Applications, R.R. Yager and J. Kacprzyk (Eds.), Kluwer Academic, 1997, 60-72.
  • [0151] O. Cordón, F. Herrera, M. Lozano. A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995. Genetic Algorithms and Fuzzy Logic Systems. Soft Computing Perspectives, E. Sanchez, T. Shibata, L. A. Zadeh (Eds.), World Scientific, 1997, 209-240. PDF Icon
  • [0152] O. Cordón, F. Herrera. Identification of Linguistic Fuzzy Models by Means of Genetic Algorithms. Fuzzy Model Identification. Selected Approaches, D. Driankov, H. Hellendoorn (Eds.), Springer Verlag, 1997, 215-250. PDF Icon
  • [0153] O. Cordón, F. Herrera, M. Lozano. On the Combination of Fuzzy Logic and Evolutionary Computation: A Short Review and Bibliography. Fuzzy Evolutionary Computation, W. Pedrycz (Ed.), Kluwer Academic, 1997, 57-77. PDF Icon
  • [0154] O. Cordón, F. Herrera, L. Sánchez. Evolutionary Learning Processes for Data Analysis in Electrical Engineering Applications. Genetic Algorithms and Evolution Strategies in Computer Science and Engineering, D. Quagliarelli, J. Periaux, C. Poloni, G. Winter (Eds.), John Wiley and Sons, 1997, 205-224. PDF Icon
  • [0253] O. Cordón, F. Herrera, A. Peregrín. A Study on the Use of Implication Operators Extending the Boolean Conjunction in Fuzzy Control. Seventh International Fuzzy Systems Association World Congress (IFSA). Praga (Czech), Vol. III, 243-248, 1997.
  • [0254] O. Cordón, M.J. del Jesus, F. Herrera, E. López. Selecting Fuzzy Rule-Based Classification Systems With Specific Reasoning Methods Using Genetic Algorithms. Seventh International Fuzzy Systems Association World Congress (IFSA). Praga (Czech), Vol. II, 424-429, 1997.
  • [0255] O. Cordón, F. Herrera. Evolutionary Design of TSK Fuzzy Rule-Based Systems Using (mu,lambda)-Evolutionary Strategies. Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Barcelona (Spain), Vol. I, 509-514, 1997.
  • [0256] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. An Evolutionary Paradigm for Designing Fuzzy Rule-Based Systems from Examples. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 139-144, 1997.
  • [0257] F. Herrera, M. Lozano. Heterogeneous Distributed Genetic Algorithms Based on the Crossover Operator. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 203-208, 1997.
  • [0258] O. Cordón, M.J. del Jesus, F. Herrera. Nuevos Métodos de Razonamiento en Sistemas de Clasificación Basados en Reglas Difusas. VII Congreso Español sobre Tecnologías y Lógica Fuzzy. Tarragona (Spain), 109-114, 1997.


1996 (21)

  • [0080] F. Herrera, M. Lozano, J.L. Verdegay. Dynamic and Heuristic Fuzzy Connectives-Based Crossover Operators for Controlling the Diversity and Convengence of Real Coded Genetic Algorithms. Int. Journal of Intelligent Systems Vol. 11 (1996) 1013-1041.
  • [0081] F. Herrera, J.L. Verdegay. Fuzzy Control Rules in Optimization. International Journal of Science & Technology: Scientia Iranica. Vol. 3. no. 1,2,3 (1996) 89-96.
  • [0082] O. Cordón, F. Herrera, E. Herrera-Viedma, M. Lozano. Genetic Algorithms and Fuzzy Logic in Control Processes. Archives of Control Sciences. Vol. 5 (1996) 135-168. PDF Icon
  • [0083] F. Chiclana, F. Herrera, E. Herrera-Viedma, M.C. Poyatos. A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority. The Journal of Fuzzy Mathematics 4 (1996) 801-813. PDF Icon
  • [0084] F. Herrera, J.L. Verdegay. Fuzzy Boolean Programming Problems with Fuzzy Cost: A general study. Fuzzy Sets and Systems Vol. 81 (1996) 57-76. PDF Icon
  • [0085] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Direct Approach Processes in Group Decision Making using Linguistic OWA operators. Fuzzy Sets and Systems 79 (1996) 175-190. PDF Icon
  • [0086] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A model of consensus in group decision making under linguistic assessments. Fuzzy Sets and Systems 78 (1996) 73-87. PDF Icon
  • [0087] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Linguistic Decision Process in Group Decision Making. Group Decision and Negotiation. 5 (1996) 165-176. PDF Icon
  • [0155] F. Herrera, J.L. Verdegay. Making Decisions on Fuzzy Integer Linear Programming Problems. Fuzzy Logic Foundations and Industrial Applications. D. Ruan (Ed.) (International Series in Intelligent Technologies) Kluwer Academic, 1996, 147-164.
  • [0156] F. Herrera, M. Lozano. Adaptation of Genetic Algorithm Parameters based on Fuzzy Logic Controllers. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 95-125.
  • [0157] O. Cordón, F. Herrera. A Hybrid Genetic Algorithm-Evolution Strategy Process for Learning Fuzzy Logic Controller Knowledge Bases. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 251-278. PDF Icon
  • [0259] O. Cordón, F. Herrera, M. Lozano. On the Bidirectional Integration of Fuzzy Logic and Genetic Algorithms. 2nd Online Workshop on Evolutionary Computation (WEC2). Nagoya (Japan), 13-17, 1996.
  • [0260] F. Chiclana, F. Herrera, E. Herrera-Viedma. Preference Relations as the Information Representation Base in Multi-Person Decision Making. 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'96. Granada (España), Vol. I, 459-464, 1996.
  • [0261] O. Cordón, F. Herrera. Generating and Selecting Fuzzy Control Rules Using Evolution Strategies and Genetic Algorithms. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 733-738, 1996.
  • [0262] F. Herrera, M. Lozano. Adaptive Genetic Algorithms Based on Fuzzy Techniques. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 775-780, 1996.
  • [0263] F. Herrera, E. Herrera-Viedma, E. López. On the Linguistic Approach in Multi-Person Decision Making. International Conference on Intelligent Technologies in Human-Related Sciences, ITHURS'96. León (Spain), 205-213, 1996.
  • [0264] O. Cordón, F. Herrera, M. Lozano. A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 720-729, 1996.
  • [0265] F. Herrera, M. Lozano. Heuristic Crossover for Real-Coded Genetic ALgorithms Based on Fuzzy Connectives. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 336-345, 1996.
  • [0266] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Medidas Lingüísticas De Racionalidad Para Alcanzar El Consenso En Grupo. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 155-160, 1996.
  • [0267] O. Cordón, F. Herrera. Un Proceso Evolutivo para el Aprendizaje de Bases de Conocimiento de Controladores Difusos. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 89-94, 1996.
  • [0268] O. Cordón, M.J. del Jesus, F. Herrera. Sistema de Clasificacion con Reglas Difusas Utilizando Algoritmos Geneticos. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 95-100, 1996.


1995 (20)

  • [0088] F. Herrera, M. Lozano, J.L. Verdegay. The Use of Fuzzy Connectives to Design real-Coded Genetic Algorithms. Mathware and Soft Computing. Vo. 1:3 (1995) 239-251. PDF Icon
  • [0089] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Preference Degrees over Linguistic Preference Relations in Decision Making. Operational Research and Decisions 3 (1995) 37-48. PDF Icon
  • [0090] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. Information Science 85 (1995) 223-239. PDF Icon
  • [0091] F. Herrera, J.L. Verdegay. Three Models of Fuzzy Integer Linear Programming. European Journal of Operational Research 83 (1995) 581-593. PDF Icon
  • [0092] F. Herrera, M. Lozano, J.L. Verdegay. Tuning Fuzzy Logic Controllers by Genetic Algorithms. International Journal of Approximate Reasoning 12 (1995) 299-315. doi: 10.1016/0888-613X(94)00033-Y PDF Icon
  • [0093] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos: Fundamentos, Extensiones y Aplicaciones. ARBOR CLII 597 (1995) 9-40.
  • [0094] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos con Parametros Reales. NOVATICA, May/jun 115 (1995) 36-41.
  • [0095] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. Applicability of T-Norms in Fuzzy Control. BUSEFAL 61 (1995) 28-36. PDF Icon
  • [0158] F. Herrera, J.L. Verdegay. On Group Decision Making under Linguistic Preferences and Fuzzy Linguistic Quantifiers. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 173-180.
  • [0159] F. Herrera, M. Lozano, J.L. Verdegay. Generating Rules from Examples using Genetic Algorithms. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 11-20.
  • [0160] O. Cordón, F. Herrera. A General Study on Genetic Fuzzy Systems. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 33-57. PDF Icon
  • [0161] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Fuzzy Genetic Algorithms. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 167-189.
  • [0269] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Approaching Group Decision Making under linguistic assessments. 5rd International Workshop Current Issues in Fuzzy Technologies. CIFT'95. Trento (Italy), 205-208, 1995.
  • [0270] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Aggregating Linguistic Preferences: Properties of the LOWA Operator. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. II, 153-157, 1995.
  • [0271] O. Cordón, F. Herrera, A. Peregrín. T-norms vs. Implication Functions as Implication Operators in Fuzzy Control. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 501-504, 1995.
  • [0272] F. Herrera, M. Lozano, J.L. Verdegay. Design of a Control Rules Base based on Genetic Algorithms. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 265-268, 1995.
  • [0273] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Basis for a Consensus Model in Group Decision Making with Linguistic Preferences. Third European Congress on Fuzzy and Intelligent Technologies. EUFIT'95. Aachen (Germany), 1265-1269, 1995.
  • [0274] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Medidas Lingüísticas para el Consenso en Grupo. V Congreso Español sobre Tecnologías y Lógica Fuzzy. Murcia (Spain), 309-314, 1995.
  • [0275] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. SCD: Una Herramienta Gráfica para el Estudio de Controladores Difusos. V Congreso Español sobre Tecnologías y Lógica Fuzzy. Murcia (Spain), 103-106, 1995.
  • [0276] F. Herrera, M. Lozano. Algoritmos Genéticos Heuristicos con Codificacion Real. VI Conferencia de la Asociación Española para la Inteligencia Artificial. Alicante (Spain), 11-20, 1995.


1994 (12)

  • [0096] F. Herrera, M. Lozano, J.L. Verdegay. Applying Genetic Algorithms in Fuzzy Optimization Problems. Fuzzy Systems and A.I.-Reports and Letters 3 (1994) 39-52. PDF Icon
  • [0097] F. Herrera, J.L. Verdegay. Fuzzy Almost Integer Variables in Integer Programming Problems. The Journal of Fuzzy Mathematics 2:2 (1994) 259-270.
  • [0098] F. Herrera, M. Kovacs, J.L. Verdegay. Homogeneous Linear Fuzzy Functions and Ranking Methods in Fuzzy Linear Programming Problems. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems 2:1 (1994) 25-35. PDF Icon
  • [0099] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín. Influence of Fuzzy Implication Functions and Defuzzification Methods in Fuzzy Control. BUSEFAL 57 (1994) 69-79. PDF Icon
  • [0100] J.L. Castro, F. Herrera, J.L. Verdegay. Knowledge based systems and Fuzzy Boolean Programming. International Journal on Intelligent Systems 9:2 (1994) 211-225. doi: 10.1002/int.4550090203
  • [0162] F. Herrera. Models and methods in fuzzy discrete programming. Fuzzy Optimization. Recent Advances. M. Delgado, J. Kacprzyk, J.L. Verdegay, M.A. Vila (Eds.), Physica-Verlag, 1994, 255-271.
  • [0277] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. On Dominance Degrees in Group Decision Making with Linguistic Preferences. 4rd International Workshop Current Issues in Fuzzy Technologies. CIFT'94. Trento (Italy), 113-117, 1994.
  • [0278] F. Herrera, J.L. Verdegay. On group decision making under linguistic preferences and fuzzy linguistic quantifiers. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 418-422, 1994.
  • [0279] F. Herrera, M. Lozano, J.L. Verdegay. Generating fuzzy rules from examples using genetic algorithms. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 675-680, 1994.
  • [0280] F. Herrera, E. Herrera-Viedma, M. Lozano, J.L. Verdegay. Fuzzy tools to improve genetic algorithms. Second European Congress on Fuzzy and Intelligent Technologies. EUFIT'94. Aachen (Germany), Vol. III 1532-1539, 1994.
  • [0281] F. Herrera, M. Lozano, J.L. Verdegay. El uso de conectivos difusos en el diseño de algoritmos genéticos. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 37-42, 1994.
  • [0282] F. Herrera, E. Herrera-Viedma, J.L. Verdegay. Un proceso de decisión en grupo con preferencias lingüísticas y selección secuencial. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 215-220, 1994.


1993 (10)

  • [0101] F. Herrera, M. Kovacs, J.L. Verdegay. A Parametric Approach for (G,P)-Fuzzified Linnear Programming Problems. The Journal of Fuzzy Mathematics 1:3 (1993) 699-713.
  • [0102] F. Herrera, J.L. Verdegay, H.-J. Zimmermann. Boolean Programming Problems with Fuzzy Constraints. Fuzzy Systems and Systems 55:3 (1993) 285-293. PDF Icon
  • [0103] F. Herrera, M. Kovacs, J.L. Verdegay. Optimality for Fuzzified Mathematical Programming Problems: A Parametric Approach. Fuzzy Systems and Systems 54:3 (1993) 279-285. PDF Icon
  • [0104] M. Delgado, F. Herrera, J.L. Verdegay, A. Vila. Post-optimality Analysis on the Membership Functions of a Fuzzy Linear Programming Problem. Fuzzy Systems and Systems 53:3 (1993) 289-297. PDF Icon
  • [0283] F. Herrera, J.L. Verdegay. Linguistic assessments in group decision. First European Congress as Fuzzy and Intelligent Technologies. EUFIT'93. Aachen (Germany), Vol. II, 941-948, 1993.
  • [0284] J.L. Castro, M. Delgado, F. Herrera. A learning method of fuzzy reasoning by genetic algorithms. First European Congress as Fuzzy and Intelligent Technologies. Aachen (Germany), 1993, Vol. II, pp. 804-809.
  • [0285] F. Herrera, M. Lozano, J.L. Verdegay. Genetic Algorithms Applications to Fuzzy Logic Based Systems. 9th Polish-Italian and 5th Polish-Finnish Symposium on Systems Analysis. Warsaw (Poland), R. Kulilowski, K. Szkatula, J. Kacprzyk (Eds.), Omnitech Press, 125-134, 1993.
  • [0286] J.M. Cadenas, F. Herrera, J.L. Verdegay. PROBO: Un sistema interactivo de ayuda a la decisión para resolver problemas de programación lineal difusa. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 89-96, 1993.
  • [0287] F. Herrera, M. Lozano, J.L. Verdegay. Un algoritmo genético para el ajuste de controladores difusos. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 251-258, 1993.
  • [0288] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos geneticos con para metros reales. V Conferencia de la Asociación Española para la Inteligencia Artificial. Madrid (Spain), 41-50, 1993.


1992 (7)

  • [0105] F. Herrera, M. Kovacs, J.L. Verdegay. An Optimum Concept for Fuzzified Linear Programming Problems: A Parametric Approach. Tatra Mountains Mathematical Publications 1 (1992) 57-64. PDF Icon
  • [0106] M. Delgado, F. Herrera, J.L. Verdegay, M.A. Vila. Fuzzy Linear Programming Problems with Nonlinear Membership. Fuzzy Systems and A.I. Reports and Letters 1:1 (1992) 33-49.
  • [0289] J.L. Castro, F. Herrera, J.L. Verdegay. Solving Linear Boolean Programming Problems with Imprecise Cost. First IEEE International Conference on Fuzzy Systems. San Diego (USA), 1025-1032, 1992.
  • [0290] J.M. Cadenas, F. Herrera, J.L. Verdegay. An Interactive Decision Support System in Fuzzy Linear Programming Problems. 2rd International Workshop Current Issues in Fuzzy Technologies. CIFT'92. Trento (Italy), 19-27, 1992.
  • [0291] F. Herrera, M. Kovacs, J.L.Verdegay. Fuzzy Linear Programming Problems with Homogeneous Linear Fuzzy Functions. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'92. Palma de Mallorca (Spain), 361-364, 1992.
  • [0292] J.M. Cadenas, F. Herrera. Estudio de un sistema interactivo de ayuda a la decisión en problemas de optimización difusa. II Congreso Español sobre Tecnología y Lógica Fuzzy. Boadilla del Monte (Spain), 175-184, 1992.
  • [0293] J.L. Castro, M. Delgado, F. Herrera, J.L. Verdegay. Algoritmos Genéticos con Función de Evaluación Difusa y Aplicaciones. II Congreso Español sobre Tecnologías y Lógica Fuzzy. Boadilla del Monte (Spain), 147-159, 1992.


1991 (5)

  • [0163] F. Herrera. Introducción a algunos problemas de decisión en ambiente difuso. Algunos aspectos del tratamiento de la Informacion en Inteligencia Artificial, Dpto. Ciencias de la Computacion e I.A. (Ed.), Publicaciones de la Universidad de Granada, 1991, 41-56.
  • [0164] F. Herrera, J.L. Verdegay. Approaching Fuzzy Integer Linear programming Problems. Interactive Fuzzy Optimization, M. Fedrizzi, J. Kacprzyk, M. Roubens (Eds.), Springer-Verlag, 1991, 79-91.
  • [0294] J.L. Castro, F. Herrera. Approaching Fuzzy Boolean Linear Programming Problems with Imprecise Costs. 4th IFSA World Conference. Brussels (Belgium), Vol. Computer, Management & Systems Science, 31-35, 1991.
  • [0295] J.L. Castro, F. Herrera, J.L. Verdegay. Estudio de problemas de Programación Difusa Biobjetivo y su aplicación al Cálculo Proposicional. I Congreso Español sobre Tecnología y Lógica Fuzzy. Granada (Spain), 59-64, 1991.
  • [0296] J.L. Castro, F. Herrera, J.L. Verdegay. Problemas de Programación Booleana Difusa Biobjetivo y su Aplicación a Sistemas Basados en el Conocimiento. IV Reunión técnica de la AEPIA. Madrid (Spain), 89-98, 1991.