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Special Issue Cover

A new special issue on Aggregation Operators for Information Systems (International Journal of Intelligent Systems) has been edited by E. Herrera-Viedma and G. Passi.

 

               International Journal Papers by F. Herrera

Number Of Publications: 285 Jump to Graph

Jump to Year: 2014 (38), 2013 (15), 2012 (28), 2011 (18), 2010 (24), 2009 (26), 2008 (14), 2007 (13), 2006 (3), 2005 (8), 2004 (7), 2003 (9), 2002 (9), 2001 (14), 2000 (10), 1999 (7), 1998 (8), 1997 (9), 1996 (8), 1995 (6), 1994 (5), 1993 (4), 1992 (2)

Bolita Year 2014 (38):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.2013.10.038COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[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 .

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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. iconPdf.png

Bolita[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 .

Bolita[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. iconPdf.png

Bolita[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, COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. doi: 10.1016/j.patcog.2013.08.002.

Bolita[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: 10.1016/j.ins.2013.06.002. COMPLEMENTARY MATERIAL to the paper here.

Bolita[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.

Bolita[1706] B. Lacroix, D. Molina, F. Herrera, Region based memetic algorithm for real-parameter optimisation. Information Sciences, 262 (2014) 15-31, doi: http://dx.doi.org/10.1016/j.ins.2013.11.032 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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. iconPdf.png

Bolita In Press:

Bolita[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 (2014), doi: 10.1016/j.patcog.2014.06.012. COMPLEMENTARY MATERIAL to the paper here, in press (2014). iconPdf.png

Bolita[1810] A. Fernandez, S. Río, V. López, Abdullah 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, in press (2014).

Bolita[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, in press (2014).

Bolita[1813] S. Elhag, A. Fernandez, Abdullah Bawakid, Saleh 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, doi: 10.1016/j.eswa.2014.08.002, in press (2014).

Bolita[1790] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera, Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing, in press (2014).

Bolita[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, in press (2014).

Bolita[1769] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera, MRPR: A MapReduce Solution for Prototype Reduction in Big Data Classification. Neurocomputing, in press (2014).

Bolita[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, doi: 10.1007/s10115-013-0700-4, in press (2014).

Bolita[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, doi: 10.1109/TCYB.2014.2332003, in press (2014).

Bolita[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, doi: 10.1016/j.fss.2014.01.015, in press (2014). iconPdf.png

Bolita[1742] S. Río, V. López, J.M. Benítez, F. Herrera, On the use of MapReduce for Imbalanced Big Data using Random Forest. Information Sciences, doi: 10.1016/j.ins.2014.03.043. COMPLEMENTARY MATERIAL to the paper here, in press (2014). iconPdf.png

Bolita[1683] I. Triguero, S. García, F. Herrera, Self-Labeled Techniques for Semi-Supervised Learning: Taxonomy, Software and Empirical Study. Knowledge and Information Systems, COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. doi: 10.1007/s10115-013-0706-y, in press (2014).

Bolita[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, in press (2014).

Bolita[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, in press (2014).

Bolita[1794] J. Derrac, S. García, S. Hui, P. N. Suganthan, F. Herrera, Analyzing convergence performance of evolutionary algorithms: A statistical approach. Information Sciences, in press (2014).

Bolita Year 2013 (15):

Bolita[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.

Bolita[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. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here.

Bolita[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. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[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 doi: 10.1109/TFUZZ.2012.2201338. COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc.. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2012 (28):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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) doi: 10.1002/asi.22688. SciMAT's website here. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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 . iconPdf.png

Bolita[1431] R. 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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 COMPLEMENTARY MATERIAL to the paper here: Software, data sets, results and methods description. iconPdf.png

Bolita[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 COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2011 (18):

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 doi: 10.1109/TFUZZ.2011.2131657 19:4 (2011) 666-681. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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 doi: 10.1016/j.ins.2011.02.021 COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc..

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. SOFTWARE associated to the paper here. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2010 (24):

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png


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Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. SOFTWARE associated to the paper here. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2009 (26):

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[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 at http://InformationR.net/ir/14-4/paper421.html. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[0826] S. García, F. Herrera, Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy. Evolutionary Computation 17:3 (2009) 275-306. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[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 . COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. SOFTWARE associated to the paper here. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita Year 2008 (14):

Bolita[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. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2007 (13):

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2006 (3):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita Year 2005 (8):

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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 . iconPdf.png

Bolita[0504] F. Herrera, Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions. International Journal of Computational Intelligence Research (IJCIR) 1:1 (2005) 59-67. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2004 (7):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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. iconPdf.png

Bolita Year 2003 (9):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2002 (9):

Bolita[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 . iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2001 (14):

Bolita[0039] O. Cordón, F. Herrera, I. Zwir, Fuzzy Modeling by Hierarchically Built Fuzzy Rule Bases. International Journal of Approximate Reasoning 27 (2001) 61-93. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[0033] F. Herrera, M. Lozano, Adaptative Genetic Operators Based on Coevolution with Fuzzy Behaviors. IEEE Transactions on Evolutionary Computation 5:2 (2001) 149-165. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 2000 (10):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[0052] F. Herrera, E. Herrera-Viedma, Choice Functions and Mechanisms for Linguistic Preference Relations. European Journal of Operational Research 120 (2000) 144-161. iconPdf.png

Bolita[0051] F. Herrera, M. Lozano, Gradual Distributed Real-Coded Genetic Algorithms. IEEE Transactions on Evolutionary Computation 4:1 (2000) 43-63. iconPdf.png

Bolita[0050] O. Cordón, F. Herrera, A Proposal for Improving the Accuracy of Linguistic Modeling. IEEE Transactions on Fuzzy Systems 8:3 (2000) 335-344. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 1999 (7):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[0062] O. Cordón, F. Herrera, L. Sánchez, Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Applied Intelligence 10 (1999) 5-24. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[0058] F. Herrera, M. Lozano, C. Moraga, Hierarchical Distributed Genetic Algorithms. International Journal of Intelligent Systems 14:11 (1999) 1099-1121. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 1998 (8):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 1997 (9):

Bolita[0071] F. Herrera, E. Herrera-Viedma, Aggregation Operators for Linguistic Weighted Information. IEEE Transactions on Systems, Man and Cybernetics. 27 (1997) 646-656. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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. iconPdf.png

Bolita[0074] F. Herrera, J.L. Verdegay, Fuzzy Sets and Operations Research. Perspectives. Fuzzy Sets and Systems 90:2 (1997) 207-218. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 1996 (8):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.

Bolita[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.

Bolita Year 1995 (6):

Bolita[0095] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín, Applicability of T-Norms in Fuzzy Control. BUSEFAL 61 (1995) 28-36. iconPdf.png

Bolita[0091] F. Herrera, J.L. Verdegay, Three Models of Fuzzy Integer Linear Programming. European Journal of Operational Research 83 (1995) 581-593. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita Year 1994 (5):

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[0097] F. Herrera, J.L. Verdegay, Fuzzy Almost Integer Variables in Integer Programming Problems. The Journal of Fuzzy Mathematics 2:2 (1994) 259-270.

Bolita[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.

Bolita[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. iconPdf.png

Bolita Year 1993 (4):

Bolita[0102] F. Herrera, J.L. Verdegay, H.-J. Zimmermann, Boolean Programming Problems with Fuzzy Constraints. Fuzzy Systems and Systems 55:3 (1993) 285-293. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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. iconPdf.png

Bolita[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.

Bolita Year 1992 (2):

Bolita[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. iconPdf.png

Bolita[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.


 


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