Publications Listing

Filter Publications:

Initials + surname. For example, to filter the publications
of Francisco Herrera, just input F. Herrera.
List of words to look at in the journal name and / or title.

Papers published in Journals

Number of Results: 1299

Jump to Year: In Press, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992

Jump to Graph



In Press (14)

  • [2981] L.B.Furstenau, Y.P. Reckziegel Rodrigues, M.K. Sott, P. Leivas, M.S. Dohan, J.R. López-Robles, M.J. Cobo, N.L. Bragazzi, K-K.R Choo. Internet of things: Conceptual network structure, main challenges and future directions. Digital Communications and Networks, in press. doi: 10.1016/j.dcan.2022.04.027
  • [2992] X. Wu, J. Wang, Q. Li, J. Cao, E. Herrera-Viedma, Y. Guo. Trust Maintenance in IoT for Smart Cities with Complex Network Metrics. Expert Systems with Applications. Accepted, 2022, in press.
  • [2796] W. Ding, W. Pedrycz, I. Triguero, Z. Cao, CT. Lin. Multigranulation Super-Trust Model for Attribute Reduction. IEEE Transactions on Fuzzy Systems, in press. doi: 10.1109/TFUZZ.2020.2975152
  • [2844] P. Lázaro-Rodríguez. Noticias digitales sobre bibliotecas públicas en España: mapeo de medios y análisis temático y de consumo basado en las interacciones en Facebook.. Profesional de la Información, Accepted, 2020., in press.
  • [2573] A. Valdivia, E. Martínez-Cámara, I. Chaturvedi, M.V. Luzón, E. Cambria, Y. Ong, F. Herrera. What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. Journal of Ambient Intelligence and Humanized Computing (2018), in press. doi: 10.1007/s12652-018-1150-3 BibTex Icon
    Read the paper

  • [2578] A. Valdivia, E. Hrabova, I. Chaturvedi, M.V. Luzón, L. Troiano, E. Cambria, F. Herrera. Inconsistencies on TripAdvisor Reviews: a Unified Index between Users and Sentiment Analysis Methods. Neurocomputing (2019), in press.
  • [2678] P. Tellez-Dominguez, J.A. Moral-Muñoz, E. Casado, A. Salazar, D. Lucena-Anton. Efectos de la realidad virtual sobre el equilibrio y marcha en ictus: revisión sistemática y meta-análisis. Revista de Neurología, in press.
  • [2679] M.E. Ortega-Martín, D. Lucena-Anton, C. Luque-Moreno, A.M. Heredia-Rizo, J.A. Moral-Muñoz. Aplicaciones móviles en el abordaje terapéutico del ictus: Revisión en respositorios comerciales y búsqueda de evidencia. Revista Española de Salud Pública, in press.
  • [2597] F.J. Baldán, J.M. Benítez. Distributed FastShapelet Transform: a Big Data time series classification algorithm. Information Sciences, Accepted, in press. doi: 10.1016/j.ins.2018.10.028 BibTex Icon
    COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes

  • [2171] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, A. Alonso-Betanzos, F. Herrera. An Information Theory-Based Feature Selection Framework for Big Data under Apache Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2017), in press. doi: 10.1109/TSMC.2017.2670926
  • [2254] P.D. Gutiérrez, M. Lastra, J.M. Benítez, F. Herrera. SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Progress in Artificial Intelligence, in press. doi: 10.1007/s13748-017-0128-2
  • [2361] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. Neurocomputing, 2017. Available online 14 September 2017, in press. doi: 10.1016/j.neucom.2016.08.158
  • [2362] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. REMEDIAL-HwR: Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. Neurocomputing, 2017. Available online 12 September 2017, in press. doi: 10.1016/j.neucom.2017.01.118
  • [2376] C. R. Cloninger, I. Zwir. What is the natural measurement unit of temperament: single traits or profiles?. Philosophical Transactions B, in press.


2024 (9)

  • [3060] H. Wang, Y. Ju, P. Dong, A. Wang, F.J. Cabrerizo. Preference-based regret three-way decision method on multiple decision information systems with linguistic Z-numbers. Information Sciences 654 (2024) 119861. doi: 10.1016/j.ins.2023.119861
  • [3063] Z. Wu, P. Gao, Y. Wang, X. Xu, N. Wan, F.J. Cabrerizo. Robust minimum cost consensus models with uncertain asymmetric costs based on linear uncertain-constrained tolerance level. Engineering Applications of Artificial Intelligence 130 (2024) 107699. doi: 10.1016/j.engappai.2023.107699
  • [3064] X. Sun, J. Zhu, J. Wang, I.J. Pérez, F.J. Cabrerizo. Consensus-reaching process in multi-stage large-scale group decision-making based on social network analysis: Exploring the implication of herding behavior. Information Fusion 104 (2024) 102184. doi: 10.1016/j.inffus.2023.102184
  • [3065] J.C. González-Quesada, A. Velykorusova, A. Banaitis, A. Kaklauskas, F.J. Cabrerizo. Non-uniform allocation of information granularity to improve consistency and consensus in multi-criteria group decision-making: Application to building refurbishment. Engineering Applications of Artificial Intelligence 130 (2024) 107737. doi: 10.1016/j.engappai.2023.107737
  • [3093] Y. Li, I.J. Pérez, F.J. Cabrerizo, H. Garg, J.A. Morente-Molinera. A belief rule-based classification system using fuzzy unordered rule induction algorithm. Information Sciences 667 (2024) 120462. doi: 10.1016/j.ins.2024.120462
  • [3094] S. Giannoukakos, S. D'Ambrosi, D. Koppers-Lalic, C. Gómez-Martín, A. Fernandez, M. Hackenberg. Assessing the complementary information from an increased number of biologically relevant features in liquid-biopsy-derived RNA-Seq datarr. Heliyon 10:6e27360 (2024). doi: 10.1016/j.heliyon.2024.e27360
  • [3096] J. Zhang, F. Liu, Z. Liu, I.J. Pérez, F.J. Cabrerizo. Existence and simulation of multiple solutions to an optimization model for completing incomplete fuzzy preference relations. Applied Intelligence 54 (2024) 9395–9411. doi: 10.1007/s10489-024-05667-9
  • [3100] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, A. Ramírez-Mena, M. Arteaga, G. Bueno, R. Leis, C.M. Aguilera, R. Alcalá, J. Alcalá-Fdez. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Artificial Intelligence in Medicine 156 (2024) 102962. doi: 10.1016/j.artmed.2024.102962 BibTex Icon
  • [3107] Y. Li, I.J. Pérez, F.J. Cabrerizo, J.A. Morente-Molinera. An algorithm for belief rule induction with partial ignorance. Expert Systems with Applications 261 (2025) 125517. doi: 10.1016/j.eswa.2024.125517


2023 (41)

  • [2926] R. Zhang, J. Huang, Y. Xu, E. Herrera-Viedma. Consensus models with aggregation operators for minimum quadratic cost in group decision making. Applied Intelligence 53:1370–1390. doi: 10.1007/s10489-021-02948-5
  • [2935] J. Pereira Amorim, P.H. Abreu, A. Fernández, M. Reyes, J. Santos, M. H. Abreu. Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists. IEEE Reviews in Biomedical Engineering, 16 (2023) 192 - 207. doi: 10.1109/RBME.2021.3131358 PDF Icon
  • [2954] C. Sáenz-Royo, F. Chiclana, E. Herrera-Viedma. Functional representation of the intentional bounded rationality of decision-makers: A laboratory to study the decisions a priori. Mathematics, 10(5), 739, Accepted, 2022.. doi: 10.3390/math10050739
  • [2956] Y. Xu, S. Zhu, X. Liu, J. Huang, E. Herrera-Viedma. Additive consistency exploration of linguistic preference relations with self-confidence. Artificial Intelligence Review volume 56, pages257–285 (2023). doi: 10.1007/s10462-022-10172-x
  • [2963] R. Fang, H. Liao, Z. Xu, E. Herrera-Viedma. Risk assessment in project management by a graph-theory-based group decision making method with comprehensive linguistic preference information. Economic Research-Ekonomska Istraživanja, (2023) Volume 36, NO. 1, Pages: 86 – 115. doi: 10.1080/1331677X.2022.2070772
  • [2975] C. Zuheros, E. Martinez-Camara, E. Herrera-Viedma, F. Herrera. Crowd Decision Making: Sparse Representation guided by Sentiment Analysis for leveraging the Wisdom of the Crowd. IEEE Transactions on Systems, Man and Cybernetics:Systems, Volume 53, Issue: 1, Pages 369-379, 2022. Accepted.. doi: 10.1109/TSMC.2022.3180938
  • [2978] H. Hassani, R. Razavi-Far, M. Saif, F. Chiclana, O. Krejcar, E. Herrera-Viedma. Classical Dynamic Consensus and Opinion Dynamics Models: A Survey of Recent Trends and Methodologies. Information Fusion, Volume 88, December 2022, Pages 22-40, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.003
  • [2989] J. Deng, J. Zhan, E. Herrera-Viedma, F. Herrera. Regret theory-based three-way decision method on incomplete multi-scale decision information systems with interval fuzzy numbers. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 982-996, March 2023. doi: 10.1109/TFUZZ.2022.3193453
  • [2990] F. Ji, F. Chiclana, M. Zhou, E. Herrera-Viedma, J. Wu. Ordinal and joint feedback mechanism to support group consensus based on interval-valued number with self-confidence. Information Fusion, Volume 88, December 2022, Pages 202-217, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.021
  • [2997] M.S. Santos, P.H. Abreu, N. Japkowicz, A. Fernández, J. Santos. A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Information Fusion 89 (2023) 228-253. doi: 10.1016/j.inffus.2022.08.017 PDF Icon
  • [3000] C. Sáenz-Royo, F. Chiclana, E. Herrera-Viedma. Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances. Information Fusion, Volume 89, January 2023, Pages 254-266. doi: 10.1016/j.inffus.2022.08.019
  • [3007] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A large scale group decision making system based on sentiment analysis cluster. Information Fusion 91 (2023) 633-643. doi: 10.1016/j.inffus.2022.11.009
  • [3008] X. Xu, Z. Gong, E. Herrera-Viedma, G. Kou, F.J. Cabrerizo. Consensus reaching in group decision making with linear uncertain preferences and asymmetric costs. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:5 (2023) 2887-2899. doi: 10.1109/TSMC.2022.3220837
  • [3014] J. Poyatos, D. Molina, A. D. Martínez, J. Del Ser, F. Herrera. EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks, 158 (2023) 59-82. doi: 10.1016/j.neunet.2022.10.011 PDF Icon BibTex Icon
  • [3018] Y. Du, Z.S. Chen, J. Yang, J.A. Morente-Molinera, L. Zhang, E. Herrera-Viedma. A Textual Data-Oriented Method for Doctor Selection in Online Health Communities. Sustainability 15, no. 2: 1241. doi: 10.3390/su15021241
  • [3019] J. Herce-Zelaya, C. Porcel, A. Tejeda-Lorente, J. Bernabé-Moreno, E. Herrera-Viedma. Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Information 14, no. 1: 19. doi: 10.3390/info14010019
  • [3020] Z. Yan, W. Liu, W. Xing, E. Herrera-Viedma. A Multi-Objective Mission Planning Method for AUV Target Search. Journal of Marine Science and Engineering 11, no. 1: 144. doi: 10.3390/jmse11010144
  • [3021] A.I. Maghsoodi, A.E. Torkayesh, L.C. Wood, E. Herrera-Viedma, K. Govindan. A machine learning driven multiple criteria decision analysis using LS-SVM feature elimination: Sustainability performance assessment with incomplete data. Engineering Applications of Artificial Intelligence,Volume 119, 2023. doi: 10.1016/j.engappai.2022.105785
  • [3030] Á. Torres-Martos, M. Bustos-Aibar, A. Ramírez-Mena, S. Cámara-Sánchez, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity. Genes 14:2 (2023) 248. doi: 10.3390/genes14020248 BibTex Icon
  • [3032] F. Aghaei, M. Sabokrou, A. Fernandez. Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. IEEE Transactions on Fuzzy Systems 31:9 (2023) 3069-3080. doi: 10.1109/TFUZZ.2023.3243935 PDF Icon
  • [3033] S. Kumar-Das, N. Dey, R. Gonzalez-Crespo, E. Herrera-Viedma. A Non-Linear Multi-Objective Technique for Hybrid Peer-to-Peer Communication. Information Sciences 629 (2023) 413–439. doi: 10.1016/j.ins.2023.01.117
  • [3038] J. Zhu, X. Ma, Gang Kou, E. Herrera-Viedma, J. Zhan. A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets. Information Fusion, Volume 95, 2023, 250-274.. doi: 10.1016/j.inffus.2023.02.029
  • [3039] E. Hallaji, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. Knowledge-Based Systems,Volume 266, 2023, 110384. doi: 10.1016/j.knosys.2023.110384
  • [3040] Q. Jia, E. Herrera-Viedma. Pythagorean Fuzzy Sets to Solve Z-Numbers in Decision-Making Model. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 890-904, March 2023. doi: 10.1109/TFUZZ.2022.3191359
  • [3041] S. D'Ambrosi, S. Giannoukakos, M. Antunes-Ferreira, C. Pedraz-Valdunciel, J. W. P. Bracht, N. Potie, A. Gimenez-Capitan, M. Hackenberg, A. Fernandez, M. A. Molina-Vila, R. Rosell, T. Würdinger, D. Koppers-Lalic. Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection. International Journal of Molecular Sciences 24:5 (2023) 4881:1-4881:17. doi: 10.3390/ijms24054881 PDF Icon
  • [3042] C. Xu, C. Xu, W. Xing, E. Herrera-Viedma. Guided Trajectory Filtering for Challenging Long-range AUV Navigation. IEEE Trans. on Instrumentation and Measurement, 2023.
  • [3043] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems 465 (2023) 108511. doi: 10.1016/j.fss.2023.03.014 BibTex Icon
  • [3047] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A group decision-making method based on the experts' behaviour during the debate. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:9 (2023) 5796-5808. doi: 10.1109/TSMC.2023.3275056
  • [3048] Y. Li, E. Herrera-Viedma, I.J. Pérez, M. Barragán-Guzmán, J.A. Morente-Molinera. Z-number-valued rule-based classification system. Applied Soft Computing, 137, 110168..
  • [3049] A. Velez-Estevez, I.J. Pérez, P. García-Sánchez, J.A. Moral-Muñoz, M.J. Cobo. New trends in bibliometric APIs: A comparative analysis. Information Processing & Management, 60(4), 103385..
  • [3050] M. Bustos-Aibar, C.M. Aguilera, J. Alcalá-Fdez, F.J. Ruiz-Ojeda, J. Plaza, A. Plaza-Florido, I. Tofe, M. Gil-Campos, M.J. Gacto, A. Anguita-Ruiz. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in boys with obesity. Computers in Biology and Medicine 163 (2023) 107085. doi: 10.1016/j.compbiomed.2023.107085 BibTex Icon
  • [3053] A. Ramírez-Mena, E. Andrés-León, M.J. Alvarez-Cubero, A. Anguita-Ruiz, L.J. Martinez-Gonzalez, J. Alcalá-Fdez. Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. Computer Methods and Programs in Biomedicine 240 (2023) 107719. doi: https://doi.org/10.1016/j.cmpb.2023.107719 BibTex Icon
  • [3054] M. Arteaga, M.J. Gacto, M. Galende, J. Alcalá-Fdez, R. Alcalá. Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems with Applications 234 (2023) 121011. doi: 10.1016/j.eswa.2023.121011 BibTex Icon
  • [3055] Q. Ran, X. Chao, F.J. Cabrerizo, E. Herrera-Viedma. Managing overconfidence behaviors from heterogeneous preference relations in linguistic group decision making. IEEE Transactions on Fuzzy Systems 31:7 (2023) 2435-2449. doi: 10.1109/TFUZZ.2022.3226321
  • [3056] J. Poyatos, D. Molina, Aitor Martínez-Seras, J. Del Ser, F. Herrera. Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Applied Soft Computing 147 (2023) 110757 1-12. doi: 10.1016/j.asoc.2023.110757 PDF Icon BibTex Icon
  • [3068] I.Sevillano-García, J. Luengo, F. Herrera. REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study. International Journal of Intelligent Systems 2023, 1-34. doi: 10.1155/2023/8068569
  • [3069] Ignacio Aguilera-Martos, A.M. García-Vico, J. Luengo, S. Damas, F.J. Melero, J.J. Valle-Alonso, F. Herrera. TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing 517, 223-228. doi: 10.1016/j.neucom.2022.10.062
  • [3070] I. Aguilera-Martos, M. García-Bárzana, D. García-Gil, J. Carrasco, D. López, J. Luengo, F. Herrera. Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing 544, 126228. doi: 10.1016/j.neucom.2023.126228
  • [3071] D. López, I. Aguilera-Martos, M. García-Bárzana, F. Herrera, D. García-Gil, J. Luengo. Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Information Fusion 100, 101957. doi: 10.1016/j.inffus.2023.101957
  • [3104] Y. Li, E. Herrera-Viedma, G. Kou, J.A. Morente-Molinera. Z-number-valued rule-based decision trees. Information Sciences 643, 119252.
  • [3105] Y. Li, E. Herrera-Viedma, I.J. Pérez, W. Xing, J.A. Morente-Molinera. The arithmetic of triangular Z-numbers with reduced calculation complexity using an extension of triangular distribution. Information Sciences 647, 119477.


2022 (59)

  • [2982] M. Toscano, M.J. Cobo, E. Herrera-Viedma. Software solutions for web information systems in digital humanities: review, analysis and comparative study. Profesional De La información, 31:2 (2022). doi: 10.3145/epi.2022.mar.11
  • [2979] Y. Li, F.J. Cabrerizo, E. Herrera-Viedma, J.A. Morente-Molinera. A modified uncertainty measure of z-numbers. International Journal of Computers Communications & Control 17:4 (2022) 4862. doi: 10.15837/ijccc.2022.4.4862
  • [2859] H. Lu, Y. Zhu, Q. Lin, T. Wang, Z. Niu, E. Herrera-Viedma. Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. IEEE Transactions on Intelligent Transportation Systems (Volume: 23, Issue: 4, April 2022) Pages: 3737 – 3755. doi: 10.1109/TITS.2020.3041904
  • [2870] G. Beliakov, F.J. Cabrerizo, E. Herrera-Viedma, J.-Z. Wu. Random generation of k-interactive capacities. Fuzzy Sets and Systems 430 (2022) 48-55. doi: 10.1016/j.fss.2020.12.010
  • [2876] F. Aghaeipoor, M. M. Javidi, A. Fernandez. IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data. IEEE Transactions on Fuzzy Systems 30:3 (2021) 830-840. doi: 10.1109/TFUZZ.2021.3049911 PDF Icon
  • [2888] C-C Li, Y. Dong, F. Chiclana, E. Herrera-Viedma. Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics. IEEE Transactions on Cybernetics (Volume: 52, Issue: 7, July 2022) Pages: 6170 – 6180. doi: 10.1109/TCYB.2021.3072147
  • [2890] Q. Sun, J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making. IEEE Transactions on Fuzzy Systems (Volume: 30, Issue: 5, May 2022) Pages: 1287 - 1301. doi: 10.1109/TFUZZ.2021.3057705
  • [2891] J.A. Morente-Molinera, Y. Wang, Z. -W. Gong, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 6, June 2022) Pages: 1585 – 1598. doi: 10.1109/TFUZZ.2021.3062145
  • [2893] H. Zhang, F. Wang, Y. Dong, F. Chiclana, E. Herrera-Viedma. Social trust-driven consensus reaching model with a minimum adjustment feedback mechanism considering assessments-modifications willingness. IEEE Transactions on Fuzzy Systems (Volume: 30, Issue: 6, June 2022) Pages: 2019 – 2031. doi: 10.1109/TFUZZ.2021.3073251
  • [2896] J. Wu, S. Wang, F. Chiclana, E. Herrera-Viedma. Two-fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation. IEEE Transactions on Cybernetics, ( Volume: 52, Issue: 10, October 2022) Pages: 11081 – 11092. doi: 10.1109/TCYB.2021.3076420
  • [2897] A. Yazidi, M. Ivanovska, F. M. Zennaro, P. G. Lind, E. Herrera-Viedma. A new decision making model based on rank centrality for GDM with fuzzy preference relations. European Journal of Operational Research, 297:3 (2022) 1030-1041.
  • [2917] X. Ma, Z. Gong, G. Wei, E. Herrera-Viedma. New Consensus Model Based on TrustInteractive Weights for Intuitionistic Group Decision Making in Social Networks. IEEE Transactions on Cybernetics ( Volume: 52, Issue: 12, December 2022) Pages: 13106 – 13119. doi: 10.1109/TCYB.2021.3100849
  • [2923] Q. Zha, Y. Don, F. Chiclana, E. Herrera-Viedma. Consensus Reaching in Multiple Attribute Group Decision Making: A Multi-Stage Optimization Feedback Mechanism with Individual Bounded Confidences. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 8, Pages: 3333 – 3346, August 2022). doi: 10.1109/TFUZZ.2021.3113571
  • [2932] Y. Xu, W. Dai, J. Huang, M. Li, E. Herrera-Viedma. Some models to manage additive consistency and derive priority weights from hesitant fuzzy preference relations. Information Sciences 586 (2022) 450-467. doi: 10.1016/j.ins.2021.12.002
  • [2933] M. Zhou, M. Hu, Y-W. Chen, B-Y. Cheng, J. Wu, E. Herrera-Viedma. Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations. Knowledge-Based Systems, Volume 236, 2022. doi: 10.1016/j.knosys.2021.107740
  • [2934] J-W. Zhang, F. Liu, H-Ni. Tu, E. Herrera-Viedma. A decision-making model with sequential incomplete additive pairwise comparisons. Knowledge-Based Systems 236 (2022) 107766. doi: 10.1016/j.knosys.2021.107766
  • [2939] S. Maldonado, C. Vairetti, A. Fernandez, F. Herrera. FW-SMOTE: a feature-weighted oversampling approach for imbalanced classification. Pattern Recognition, 124, 108511:1-16 (2022). doi: 10.1016/j.patcog.2021.108511 PDF Icon
  • [2941] S. Wang, J. Wu, F. Chiclana, Q. Sun, E. Herrera-Viedma. Two stage feedback mechanisms with different power structures for consensus in large-scale group decision-making. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 10, October 2022) pp. 4177 – 4189. doi: 10.1109/TFUZZ.2022.3144536
  • [2942] C- Pedraz-Valdunciel, S. Giannoukakos, N. Potie, A. Gimenez-Capitan,C-Y Huang,M. Hackenberg, A. Fernandez, J. Bracht, M. Filipska, E. Aldeguer, S. Rodriguez, T. G. Bivona, S. Warren, C. Aguado, M. Ito, A. Aguilar-Hernandez, M.A. Molina-Vila. R. Rosell. Digital multiplexed analysis of circular RNAs in FFPE and fresh non-small cell lung cancer specimens. Molecular Oncology 16:12 (2022) 2367-2383. doi: 10.1002/1878-0261.13182 PDF Icon
  • [2943] M.S. Santos, P.H. Abreu, A. Fernández, J. Luengo, J. Santos. The impact of heterogeneous distance functions on missing data imputation and classification performance. Engineering Applications of Artificial Intelligence, 111 (2022) 104791. doi: 10.1016/j.engappai.2022.104791 PDF Icon
  • [2944] A. Yazidi, M. Ivanovska, F.M. Zennaro, P.G. Lind, E. Herrera-Viedma. A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. European Journal of Operational Research 297:3 (2022) 1030-1041. doi: 10.1016/j.ejor.2021.05.030
  • [2945] I. Bueno, R.A. Carrasco, R. Ureña, E. Herrera-Viedma. A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations. Information Sciences 589 (2022) 300-320. doi: 10.1016/j.ins.2021.12.080
  • [2946] A. Yazidi, M.A. Pinto-Orellana, H. Hammer, P. Mirtaheri, E. Herrera-Viedma. Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics. IEEE Transactions on Cybernetics 52:1 (2022) 16-24. doi: 10.1109/TCYB.2019.2958627
  • [2953] X. Sun, S. Ge, X. Wang, H. Lu, E. Herrera-Viedma. A Bibliometric Analysis of IEEE T-ITS Literature Between 2010 and 2019. IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue: 10, Pages 17157-17166, 2022, Accepted.. doi: 10.1109/TITS.2022.3154098
  • [2955] M. Pérez-Pons, J. Parra-Dominguez, G. Hernández, E. Herrera-Viedma, J. Corchado. Evaluation metrics and dimensional reduction for binary classification algorithms: A case study on bankruptcy prediction. The Knowledge Engineering Review, 37, E1.. doi: 10.1017/S026988892100014X
  • [2957] D. Molina, J. Poyatos, E. Osaba, J. Del Ser, F. Herrera. Nature-And Bio-Inspired Optimization: The Good, The Bad, The Ugly And The Hopeful. Dyna, 97:2 (2022) 114-117. doi: 10.6036/10331 PDF Icon BibTex Icon
  • [2958] X. Liu, N. Wang, D. Molina, F. Herrera. A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems. Applied Soft Computing, 117 (2022) 108357. doi: 10.1016/j.asoc.2021.108357 PDF Icon BibTex Icon
  • [2959] M.S. Santos, P.H. Abreu, N. Japkowicz, A. Fernández, C. Soares, S. Wilk, J. Santos. On the joint-efect of class imbalance and overlap: a critical review. Artifcial Intelligence Review 55 (2022) 6207–6275. doi: 10.1007/s10462-022-10150-3 PDF Icon
  • [2961] A. Segura-Delgado, A. Anguita-Ruiz, R. Alcalá, J. Alcalá-Fdez. Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. Expert Systems with Applications 193 (2022) 116411. doi: 10.1016/j.eswa.2021.116411 BibTex Icon
  • [2962] H. Liang, G. Kou, Y. Dong, F. Chiclana, E. Herrera-Viedma. Consensus Reaching with Minimum Cost of Informed Individuals and Time Constraints in Large-scale Group Decision Making. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 11, Pages: 4991 - 5004, November 2022). doi: 10.1109/TFUZZ.2022.3165373
  • [2969] Y. Xu, Z. Gong, G. Wei, W. Guo, E. Herrera-Viedma. Information consistent degree-based clustering method for large-scale group decision-making with linear uncertainty distributions information. Int. J. of Intelligent Systems, 2022 37:3394-3439. doi: 10.1002/int.22695
  • [2970] X. Zhang, J. Su, E. Herrera-Viedma. A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment. Expert Systems with Applications, Volume 202, (2022). doi: 10.1016/j.eswa.2022.117308
  • [2971] J. Deng, J. Zhan, Z. Xu, E. Herrera-Viedma. Regret-theoretic multi-attribute decision-making model using three-way framework in multi-scale information systems. IEEE Transactions on Cybernetics, Accepted, 2022.. doi: 10.1109/TCYB.2022.3173374
  • [2974] J. Marques Oliveira, B. Sicardy, ..., S. Alonso, et al.. Constraints on the structure and seasonal variations of Triton's atmosphere from the 5 October 2017 stellar occultation and previous observations. Astronomy and Astrophysics 659 (2022) A136. doi: 10.1051/0004-6361/202141443
  • [2976] J.R. Trillo, F.J. Cabrerizo, F. Chiclana, M.A. Martínez, F. Mata, E. Herrera-Viedma. Theorem verification of the quantifier-guided dominance degree with the mean operator for additive preference relations. Mathematics 2022, 10(12), 2035. doi: 10.3390/math10122035 PDF Icon
  • [2977] X. Chao, G. Kou, Y. Peng. A. Fernández. An Efficiency Curve for Evaluating Imbalanced Classifiers Considering Intrinsic Data Characteristics: Experimental Analysis. Information Sciences 608 (2022) 1131-1156. doi: 10.1016/j.ins.2022.06.045 PDF Icon
  • [2983] A. Martínez-Martínez, J.Gl Cegarra-Navarro, M.J. Cobo, T. de Valon. Impacts and Implications for Advancing in Environmental Knowledge in Hospitality Industry in COVID Society: a Bibliometric Analysis. Journal of the Knowledge Economy (2022). doi: 10.1007/s13132-022-00910-5
  • [2985] J. Padilla-Cabello, A. Santisteban-Espejo, R. Heradio, M.J. Cobo, M.A. Martin-Piedra, J.A. Moral-Muñoz. Methods for identifying biomedical translation: a systematic review. American Journal of Translational Research, 14:4, pp. 2697-2708 (2022).
  • [2986] A. Santisteban-Espejo, M.A. Martin-Piedra, A. Campos, J. Moran-Sanchez, M.J. Cobo, A.I. Pacheco-Serrano, J.A. Moral-Muñoz. Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering. Journal of Medical Internet Research, 23:11, e25394 (2022). doi: 10.2196/25394
  • [2988] M. Zhou, Z.-X. Guan, Y.-W. Chen, Z.-P. Zhou, J. Wu, E. Herrera-Viedma. Consistency and consensus reaching process for group decision making based on complete interval distributed preference relations under social network analysis. Information Fusion, Volume 88, Pages 126-145, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.015
  • [2991] W. Wang, J. Zhan, E. Herrera-Viedma. A three-way decision approach with a probability dominance relation based on prospect theory for incomplete information systems. Information Sciences, Volume 611, September 2022, Pages 199-224. doi: 10.1016/j.ins.2022.08.065
  • [2993] A. Velez-Estevez, P. Garcia-Sanchez, J.A. Moral-Muñoz, M.J. Cobo. Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers. Scientometrics (2022). doi: 10.1007/s11192-022-04486-4
  • [2994] V. Duarte-Martínez, M.J. Cobo, A.G. López-Herrera. Uncovering patterns in the supervision of Spanish theses: a comprehensive analysis. Journal of Informetrics, 16:3, pp. 101319 (2022). doi: 10.1016/j.joi.2022.101319
  • [2998] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, J. Alcalá-Fdez, R. Alcalá. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. International Journal of Fuzzy Systems 24 (2022) 3082–3103. doi: 10.1007/s40815-022-01324-w BibTex Icon
  • [2999] R. Abolghasemi, R. Khadka, P. G. Lind, P. Engelstad, E. Herrera-Viedma, A. Yazidi. Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems, Volume 256, Accepted, 2022. doi: 10.1016/j.knosys.2022.109860
  • [3001] W. Wang, J. Zhan, C. Zhang, E. Herrera-Viedma, G. Kou. A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems. Information Fusion, Volume 89, January 2023, Pages 382-396, Accepted, 2022. doi: 10.1016/j.inffus.2022.08.027
  • [3002] Y. Du, D. Lio, J.A. Morente-Molinera, E. Herrera-Viedma. A data-driven method for user satisfaction evaluation of smart and connected products. Expert Systems with Applications, Volume 210. Accepted, 2022. doi: 10.1016/j.eswa.2022.118392
  • [3003] H. Zhang, S. Liu, Y. Dong, F. Chiclana, E. Herrera-Viedma. A minimum cost consensus-based failure mode and effect analysis framework considering experts’ limited compromise and tolerance behaviors. IEEE Transactions on Cybernetics, Accepted, 2022. doi: 10.1109/TCYB.2022.3212093
  • [3004] A. Seal, R. Bajpai, M. Karnati, J. Agnihotri, A. Yazidi, E. Herrera-Viedma, O. Krejcar. Benchmarks for Machine Learning in Depression Discrimination using Electroencephalography Signals. Applied Intelligence, Accepted, 2022. doi: 10.1007/s10489-022-04159-y
  • [3005] Q. Jia, J. Hu and E. Herrera-Viedma. A Novel Solution for Z-numbers Based on Complex Fuzzy Sets and Its Application in Decision-making System. IEEE Transactions on Fuzzy Systems, 30:10, (2022) pp. 4102-4114. doi: 10.1109/TFUZZ.2021.3138649
  • [3006] H. Hassani, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Reinforcement Learning-Based Feedback and Weight-Adjustment Mechanisms for Consensus Reaching in Group Decision Making. IEEE Transactions on Systems, Man, and Cybernetics: Systems. doi: 10.1109/TSMC.2022.3214221
  • [3022] Q.D. Nguyet, A. Selamat, O. Krejcar, E. Herrera-Viedma, H. Fujita. Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions. IEEE Access, 2022, Volume 10, Pages 36429 – 36463. doi: 10.1109/ACCESS.2022.3151903
  • [3023] H. Hassani, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making. Information Sciences, Volume 597, Pages 86-104, 2022. doi: 10.1016/j.ins.2022.03.040
  • [3024] R. Abolghasemi, P. Engelstad, E. Herrera-Viedma, A. Yazidi. A Personality-Aware Group Recommendation System Based on Pairwise Preferences. Information Sciences, Volume 595, May 2022, Pages 1-17. doi: 10.1016/j.ins.2022.02.033
  • [3026] M.E. Perez-Pons, J. Parra-Dominguez, S. Omatu, E. Herrera-Viedma, J.M. Corchado. Machine Learning and Traditional Econometric Models: A Systematic Mapping Study. J of AI and Soft Computing Research, volumen 12, No. 2, pp. 79 – 100, (2022). doi: 10.2478/jaiscr-2022-0006
  • [3027] Z. Troya, R. Esteban, E. Herrera-Viedma, A. Peña-García. People’s perception of experimental installations for sustainable energy: the case of IFMIF-DONES. Sustainability 2022, 14(2), 899. doi: 10.3390/su14020899
  • [3045] Pedraz-Valdunciel, C; Giannoukakos, S; Gimenez-Capitan, A; Fortunato, D; Filipska, M; Bertran-Alamillo, J; Bracht, JWP; Drozdowskyj, A; Valarezo, J; Zarovni, N; A. Fernandez; Hackenberg, M; Aguilar-Hernandez, A; Molina-Vila, MA; Rosell, R.. Multiplex Analysis of CircRNAs from Plasma Extracellular Vesicle-Enriched Samples for the Detection of Early-Stage Non-Small Cell Lung Cancer. Pharmaceutics 14:10 (2022) 2034:1-2034:10. doi: 10.3390/pharmaceutics14102034
  • [3075] G. González-Almagro, J.L. Suárez, J. Luengo, J.R. Cano, S. García. 3SHACC: Three stages hybrid agglomerative constrained clustering. Neurocomputing 490: 441-461 (2022). doi: 10.1016/j.neucom.2021.12.018
  • [3076] J. Luengo, R. Moreno, I. Sevillano-García, D. Charte, A. Peláez-Vegas, M. Fernández-Moreno, P. Mesejo, F. Herrera. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Information Fusion 78, 232-253. doi: 10.1016/j.inffus.2021.09.018


2021 (70)

  • [2884] W. Guo, Z. Gong, E. Herrera-Viedma, Q. Li. Priority weights acquisition of linear uncertain preference relations and its application in the ranking of online shopping platforms. ASOC, 105 (2021) 107292..
  • [2883] G. Kou, Y. Peng, Xiangrui Chao, E. Herrera-Viedma, F. E. Alsaadi. A geometrical method for consensus building in GDM with incomplete heterogeneous preference information. ASOC 105 (2021) 107224. doi: 10.1016/j.asoc.2021.107224
  • [2885] P. García-Sánchez, A. Velez-Estevez, J.J. Merelo, M.J. Cobo. The Simpsons did it: Exploring the film trope space and its large scale structure. PLOS ONE 16:3: e0248881 (2021). doi: 10.1371/journal.pone.0248881
  • [2886] G. Fenza, M. Gallo, V. Loia, F. Orciuoli, E. Herrera-Viedma. Data set quality in Machine Learning: Consistency measure based on Group Decision Making. ASOC 106 (2021) 107366. doi: 10.1016/j.asoc.2021.107366
  • [2134] Y. Dong, Z. Ding, F. Chiclana, E. Herrera-Viedma. Dynamics of public opinions in an online and offline social network. IEEE Transactions on Big Data 7:4 (2021) 610-618. doi: 10.1109/TBDATA.2017.2676810
  • [2693] Y. Xu, M. Li, F.J. Cabrerizo, F. Chiclana, E. Herrera-Viedma. Algorithms to detect and rectify multiplicative and ordinal inconsistencies of fuzzy preference relations. IEEE Transactions on Systems, Man, and Cybernetics: Systems 51:6 (2021) 3498-3511. doi: 10.1109/TSMC.2019.2931536
  • [2895] E. Osaba, E. Villar-Rodriguez, J. Del Ser, A. J. Nebro, D. Molina, A. La Torre, P.N. Suganthan, C.A. Coello, F. Herrera. A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. Swarm and Evolutionary Computation.64 (2021), 100888. doi: 10.1016/j.swevo.2021.100888 PDF Icon BibTex Icon
  • [2731] A. Seal, A. Karlekar, O. Krejcar, E. Herrera-Viedma. Performance and convergence analysis of modified c-means using Jeffreys-divergence for clustering. IJIMAI, 7:2 (2021) 141-147. doi: 10.9781/ijimai.2021.04.009
  • [2748] H. Seiti, M. Fathi, A. Hafezalkoto, E. Herrera-Viedma, I. A. Hameed. Developing the modified R-numbers for risk-based fuzzy information fusion and its application to failure modes, effects, and system resilience analysis (FMESRA). ISA Transactions 113 (2021) 9-27. doi: 10.1016/j.isatra.2020.01.015
  • [2755] M. Tang, H. Liao, E. Herrera-Viedma, C.L. Philip Chen, W. Pedrycz. A Dynamic Adaptive Subgroup-to-Subgroup Compatibility Based Conflict Detection and Resolution Model for Fuzzy Multi-Criteria Large-Scale Group Decision Making. IEEE Transactions on Cybernetics 51:10 (2021) 4784-4795. doi: 10.1109/TCYB.2020.2974924
  • [2764] S. Laengle, V. Lobos, J.M. Merigó, E. Herrera-Viedma, M.J. Cobo, B. De Baets. Forty years of Fuzzy Sets and Systems: A bibliometric analysis. Fuzzy Set and Systems 402 (2021) 155-183. doi: 10.1016/j.fss.2020.03.012
  • [2768] J. Wu, M. Cao, F. Chiclana, Y. Dong, E. Herrera-Viedma. An optimal feedback model to prevent manipulation behaviour in consensus under social network group decision making. IEEE Transactions on Fuzzy Systems 29:7 (2021) 1750-1763. doi: 10.1109/TFUZZ.2020.2985331
  • [2775] S. Laengle, V. Lobos, J.M.Merigó, E. Herrera-Viedma, M.J. Cobo, B. De Baets. Forty years of Fuzzy Sets and Systems: A bibliometric analysis. Fuzzy Sets and Systems, 402 (2021) 155–183. doi: 10.1016/j.fss.2020.03.012
  • [2807] X. Chao, G. Kou, Yi Peng, Fawaz E. Alsaadi, E. Herrera-Viedma. Large-Scale Group Decision-making with Non-cooperative Behaviors and Heterogeneous Preferences: An application in Financial Inclusion. European Journal of Operational Research, Volume 288, Issue 1, 1 January 2021, Pages 271-293..
  • [2832] N. Garcia-Buendia, J. Moyano-Fuentes, J.M. Maqueira, M.J. Cobo. 22 years of Lean Supply Chain Management: a science mapping-based bibliometric analysis. International Journal of Production Research, 59:6, pp. 1901-1921 (2021). doi: 10.1080/00207543.2020.1794076
  • [2835] Z. Gong, X. Xu, W. Guo, E. Herrera-Viedma, F.J. Cabrerizo. Minimum cost consensus modeling under various linear uncertain-constrained scenarios. Information Fusion 66 (2021) 1-17. doi: 10.1016/j.inffus.2020.08.015
  • [2836] E. León-Castro, L.F. Espinoza-Audelo, J.M. Merigó, E. Herrera-Viedma, F. Herrera. Measuring volatility based on ordered weighted average operators: Agricultural products prices case of use. Fuzzy Sets and Systems 422 (2021) 161-176. doi: 10.1016/j.fss.2020.08.006
  • [2840] Y. Lu, Y. Xu, E. Herrera-Viedma, Y. Han. Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization. Information Sciences, Vol. 547, 2021, 910-930..
  • [2851] C. Jebari, E. Herrera-Viedma, M.J. Cobo. The use of citation context to detect the evolution of research topics: a large-scale analysis. Scientometrics, 126, pp. 2971–2989 (2021). doi: 10.1007/s11192-020-03858-y
  • [2853] A. D. Martinez, J. del Ser, E. Villa-Rodriguez, E. Osaka, J. Poyatos, S. Tabik, D. Molina, F. Herrera. Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons,Recommendations and Challenges. Information Fusion 67 (2021) 161-194. doi: 10.1016/j.inffus.2020.10.014 PDF Icon BibTex Icon
  • [2854] M.S. Cao, J. Wu, F. Chiclana, R. Ureña, E. Herrera-Viedma. A Personalized Consensus Feedback Mechanism Based on Maximum Harmony Degree. IEEE Transactions on Systems, Man and Cybernetics: Systems 51:10 (2021) 6134-6146. doi: 10.1109/TSMC.2019.2960052
  • [2860] X. Tan, J. Zhu, F.J. Cabrerizo, E. Herrera-Viedma. A cyclic dynamic trust-based consensus model for large-scale group decision making with probabilistic linguistic information. Applied Soft Computing 100 (2021) 106937. doi: 10.1016/j.asoc.2020.106937
  • [2880] H. Zhang, Y. Dong, J. Xiao, F. Chiclana, E. Herrera-Viedma. Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts. Reliability Engineering & System Safety 208 (2021) 107425. doi: 10.1016/j.ress.2020.107425
  • [2878] C. Zhang, W. Su, S. Zeng, T. Balezentis, E. Herrera-Viedma. A Two-stage subgroup Decision-making method for processing Large-scale information. Expert Systems with Applications 171 (2021) 114586. doi: 10.1016/j.eswa.2021.114586
  • [2879] L. Li , Q. Chen , X. Jia. E. Herrera-Viedma. Co-patents’ commercialization: evidence from China. Economic Research-Ekonomska Istraživanja 34:1 (2021) 1709-1726. doi: 10.1080/1331677X.2020.1845761
  • [2882] A. Kirimtat, O. Krejcar, M. . Tasgetiren, E. Herrera-Viedma. Multi-performance based computational model for the cuboid open traveling salesman problem in a smart floating city. Building and Environment, Volume 196, June 2021, 107721.. doi: 10.1016/j.buildenv.2021.10772
  • [2871] I. Bueno, R.A. Carrasco, C. Porcel, G. Kou, E. Herrera-Viedma. A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value. Applied Soft Computing 101 (2021) 107045. doi: 10.1016/j.asoc.2020.107045
  • [2872] X. Gou, Z. Xu, W. Zhou, E. Herrera-Viedma. The Risk Assessment of Construction Project Investment based on Prospect Theory with Linguistic Preference Orderings. Economic Research-Ekonomska Istraživanja 34:1 (2021) 709-731. doi: 10.1080/1331677X.2020.1868324
  • [2873] E. Herrera-Viedma, I. Palomares, C.-C. Li, F.J. Cabrerizo, Y.C. Dong, F. Chiclana, F. Herrera. Revisiting fuzzy and linguistic decision making: Scenarios and challenges for making wiser decisions in a better way. IEEE Transactions on Systems, Man, and Cybernetics: Systems 51:1 (2021) 191-208. doi: 10.1109/TSMC.2020.3043016
  • [2874] E. Tunstel, M.J. Cobo, E. Herrera-Viedma, I.J. Rudas, D. Filev, L. Trajkovic, C.L.P. Chen, W. Pedrycz, M.H. Smith, R. Kozma. Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions. IEEE Trans. Syst. Man and Cyb: Systems 51:1 (2021) 5-21. doi: 10.1109/TSMC.2020.3043192
  • [2875] W. Guo, Z. Gong, X. Xu, O. Krejcar, E. Herrera-Viedma. Linear uncertain extensions of the minimum cost consensus model based on uncertain distance and consensus utility. Information Fusion 70 (2021) 12–26. doi: 10.1016/j.inffus.2020.12.002
  • [2881] A. Seal, R. Bajpai, J. Agnihotri, A. Yazidi, E. Herrera-Viedma, O. Krejcar. DeprNet: A Deep Convolution Neural Networks Framework for Detecting Depression using EEG. IEEE Transactions on Instrumentation and Measurement vol. 70, pp. 1-13, 2021, Art no. 2505413,. doi: 10.1109/TIM.2021.3053999
  • [2887] K. K. Sharma, A. Seal, E. Herrera-Viedma, O. Krejcar. An Enhanced Spectral Clustering Algorithm with S-Distance. Symmetry. 2021; 13(4):596.. doi: 10.3390/sym13040596
  • [2892] W. Guo, Z. Gong, X. Xu and E. Herrera-Viedma. Additive and Multiplicative Consistency Modeling for Incomplete Linear Uncertain Preference Relations and Its Weight Acquisition. IEEE Transactions on Fuzzy Systems, vol. 29, no. 4, pp. 805-819, April 2021. doi: 10.1109/TFUZZ.2020.2965909
  • [2894] B. Farhadinia, H. Liao, E. Herrera-Viedma. A modified class of correlation coefficients of hesitant fuzzy information. Soft Comput 25, 7009–7028 (2021). doi: 10.1007/s00500-021-05629-0
  • [2898] J.D. Pascual, D. Charte, M. Andrés, A. Fernández, F. Herrera. Revisiting data complexity metrics based onmorphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect. Knowledge and Information Systems 63 (2021) 1961–1989. doi: 10.1007/s10115-021-01577-1
  • [2899] S. Alonso, R. Montes, D. Molina, I. Palomares, E. Martínez-Cámara, M. Chiachio, J. Chiachio, F.J. Melero, P. García-Moral, B. Fernández, C. Moral, R. Marchena, J. Pérez de Vargas, F. Herrera. Article Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability 2021, 13(11), 6038. doi: 10.3390/su13116038 PDF Icon BibTex Icon
  • [2900] C.C. Li, H. Liang, Y. Dong, F. Chiclana, E. Herrera-Viedma. Consistency improvement with a feedback recommendation in personalized linguistic group decision making. IEEE Transactions on Cybernetics, Volume 52, Issue: 10, Pages 10052-10063, Accepted, 2021.. doi: 10.1109/TCYB.2021.3085760
  • [2903] A. Lamas, S. Tabik, P. Cruz, R. Montes, A. Martínez-Sevilla, T. Cruz, F. Herrera. MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420 (2021)266-280. doi: j.neucom.2020.09.041
  • [2904] X. Xu, Z. Gong, W. Guo, Z. Wu, E. Herrera-Viedma, F.J. Cabrerizo. Optimization consensus modeling of a closed-loop carbon quota trading mechanism regarding revenue and fairness. Computers & Industrial Engineering 161 (2021) 107611. doi: 10.1016/j.cie.2021.107611
  • [2905] J.A. Morente-Molinera, G.Kou, K. Samuylov, F.J. Cabrerizo, E. Herrera-Viedma. Using argumentation in expert's debate to analyze multi-criteria group decision making method results. Information Sciences 573 (2021) 433-452. doi: 10.1016/j.ins.2021.05.086
  • [2906] I. Palomares, E. Martínez-Cámara, R. Montes, P. García-Moral, M. Chiachio, J. Chiachio, S. Alonso, F.J. Melero, D. Molina, B. Fernández, C. Moral, R. Marchena, J.P. de Vargas, F. Herrera. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Applied Intelligence, (2021) 51, 6497-6527. doi: 10.1007/s10489-021-02264-y PDF Icon BibTex Icon
  • [2907] J.R. López-Robles, M.J. Cobo, M. Gutiérrez-Salcedo, M.A. Martínez-Sánchez, N.K. Gamboa-Rosales, E. Herrera-Viedma. 30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT. Applied Intelligence, 51 (2021) 6547–6568. doi: 10.1007/s10489-021-02584-z
  • [2908] S. Dianah A. Bujang, A. Selamat, R Ibrahim, O. Krejcar, E. Herrera-Viedma, H. Fujita, A. Ghani. Multiclass Prediction Model for Student Grade Prediction using Machine Learning. IEEE Access 9 (2021) 95608-95621. doi: 10.1109/ACCESS.2021.3093563
  • [2909] T. Person, I. Ruiz-Rube, J.M. Mota, M.J. Cobo, A. Tselykh, J.M. Dodero. A comprehensive framework to reinforce evidence synthesis features in cloud-based systematic review tools. Applied Science, 11:2, 5527. doi: 10.3390/app11125527
  • [2910] M.K. Sott, L.B. Furstenau, L.M. Kipper, Y.P. Reckziegel-Rodrigues, J.R. López-Robles, F.D Giraldo, M.J. Cobo. Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends. Business Process Management Journal, 27:5 (2021) 1391-1417. doi: 10.1108/BPMJ-05-2020-0181
  • [2911] P. Sánchez-Núñez, M.J. Cobo, G. Vaccaro, J.I. Peláez, E. Herrera-Viedma. Citation classics in consumer neuroscience, neuromarketing and neuroaesthetics: Identification and conceptual analysis. Brain Sciences, 11:5, 548 (2021). doi: 10.3390/brainsci11050548
  • [2912] L.B Furstenaua, M.K. Sott, A.J. Ouriques-Homrich, L.M. Kipper, M.S. Dohan, J.R. López-Robles, M.J. Cobo, G.L. Tortorella. An overview of 42 years of lean production: applying bibliometric analysis to investigate strategic themes and scientific evolution structure. Technology Analysis & Strategic Management, 33:9 (2021), 1068–1087. doi: 10.1080/09537325.2020.1865530
  • [2916] T. Kumarasinghe, O. Krejcar, A. Selamat, N. M. Dawi, E. Herrera-Viedma, R. Frischer, H. Namazi. Complexity-based evaluation of the correlation between heart and brain responses to music. Fractals 29:6 (2021) 2150238. doi: 10.1142/S0218348X21502388
  • [2918] Y. Xu, M. Li, F. Chiclana, E. Herrera-Viedma. Multiplicative Consistency Ascertaining, Inconsistency Repairing and Weights Derivation of Hesitant Multiplicative Preference Relations. IEEE Trans. Syst. Man and Cyb: Systems, 52 (11), 6806-6821, 2021.. doi: 10.1109/TSMC.2021.3099862
  • [2920] A. LaTorre, D. Molina, E. Osaba, J. Poyatos, J. Del Ser, F. Herrera. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm and Evolutionary Computation, 67 (2021) 100973. doi: 10.1016/j.swevo.2021.100973 PDF Icon BibTex Icon
  • [2921] J.A. Fdez-Sánchez, J.D. Pascual-Triana, A. Fernandez, F. Herrera. Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies. Neurocomputing 463 (2021) 514-524. doi: 10.1016/j.neucom.2021.07.097
  • [2922] M.J. Basgall, M. Naiouf, A. Fernandez. FDR2-BD: A Fast Data Reduction Recommendation Tool for Tabular Big Data Classification Problems. Electronics 10:15 (2021) 1757. doi: 10.3390/electronics10151757
  • [2924] M. Chen, Z. Guo, Y. Dong, F. Chiclana, E. Herrera-Viedma. Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes. Journal of Informetrics 15:4 (2021) 101215. doi: 10.1016/j.joi.2021.101215
  • [2929] A. Anguita-Ruiz; M. Bustos-Aibar; J. Plaza-Díaz; A. Mendez-Gutierrez; J. Alcalá-Fdez; C.M. Aguilera; F.J. Ruiz-Ojeda. Omics Approaches in Adipose Tissue and Skeletal Muscle Addressing the Role of Extracellular Matrix in Obesity and Metabolic Dysfunction. International Journal of Molecular Sciences 22:5 (2021) 2756. doi: 10.3390/ijms22052756 BibTex Icon
  • [2930] M. Mohamad, A. Selamat, O. Krejcar, R. Gonzalez-Crespo, E. Herrera-Viedma, H. Fujita. Enhancing Big Data Feature Selection Using a Hybrid Correlation-Based Feature Selection. Electronics 2021, 10, 2984.. doi: 10.3390/electronics10232984
  • [2931] R. Alamoudi, O. Taylan, M.A. Aktacir, E. Herrera-Viedma. Designing a Solar Photovoltaic System for Generating Renewable Energy of a Hospital: Performance Analysis and Adjustment Based on RSM and ANFIS Approaches. Mathematics 2021, 9, 2929.. doi: 10.3390/math9222929
  • [2936] J. Cascón-Katchadourian, J. Guallar. Software for managing audiovisual archives of cultural heritage Dédalo. Profesional de la Información 30:1 (2021). doi: 10.3145/epi.2021.ene.11
  • [2937] J. Cascón-Katchadourian, J. Alberich-Pascual. The Georeferencing of Old Cartography in Geographic Information Systems (GIS): Review, Analysis and Comparative Study of Georeferencing Software. Revista General de Información y Documentación 31:1 (2021) 437-460. doi: 10.5209/rgid.76965 PDF Icon BibTex Icon
  • [2947] C. Zuheros, E. Martínez-Cámara, E. Herrera-Viedma, F. Herrera. Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews. Information Fusion 68 (2021) 22-36. doi: 10.1016/j.inffus.2020.10.019
  • [2948] X. Chao, G. Kou, Y. Peng, E. Herrera-Viedma, F. Herrera. An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement. Information Fusion 575 (2021) 499-527. doi: 10.1016/j.ins.2021.06.047
  • [2949] Y. Xu, Z. Gong, J.Y.-L. Forrest, E. Herrera-Viedma. Trust propagation and trust network evaluation in social networks based on uncertainty theory. Knowledge-Based Systems 234 (2021) 107610. doi: 10.1016/j.knosys.2021.107610
  • [2950] A.K. Gupta, A. Seal, P. Khanna, E. Herrera-Viedma, O. Krejcar. ALMNet: Adjacent Layer Driven Multiscale Features for Salient Object Detection. IEEE Transactions on Instrumentation and Measurement 70 (2021) 2513214. doi: 10.1109/TIM.2021.3108503
  • [3025] M. S. Kamal, A. Northcote, L. Chowdhury, N. Dey, R. Gonzalez-Crespo, E. Herrera-Viedma. Alzheimer’s Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes. IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-7, 2021, Art no. 2513107. doi: 10.1109/TIM.2021.3107056
  • [3067] N. Rodríguez, D. López, A. Fernández, S. García, F. Herrera. SOUL: Scala Oversampling and Undersampling Library for imbalance classification. SoftwareX 15 (2021) 100767. doi: 10.1016/j.softx.2021.100767
  • [3077] G. González-Almagro, J. Luengo, J.R. Cano, S. García. Enhancing instance-level constrained clustering through differential evolution. Applied Soft Computing 108, 107435. doi: 10.1016/j.asoc.2021.107435
  • [3078] J. Carrasco, D. López, I. Aguilera-Martos, D. García-Gil, I. Markova, M. García-Bárzana, M. Arias-Rodil, J. Luengo, F. Herrera. Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. Neurocomputing 462: 440-452 (2021). doi: 10.1016/j.neucom.2021.07.095
  • [3079] M. González, J. Luengo, J. R. Cano, S. García. Synthetic Sample Generation for Label Distribution Learnin. Information Sciences 544: 197-213 (2021). doi: 10.1016/j.ins.2020.07.071
  • [3080] J. Luengo, D. Sánchez Tarragó, R.C. Prati, F. Herrera. Multiple instance classification: Bag noise filtering for negative instance noise cleaning. Information Scences. 579: 388-400 (2021). doi: 10.1016/j.ins.2021.07.076
  • [3081] G. González-Almagro, A. Rosales-Pérez, J. Luengo, J.R. Cano, S. García. ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. Swarm Evolutionary Compututation 66: 100939 (2021).


2020 (75)

  • [2603] S. Cobos-Guzman, E. Verdú, R. González-Crespo, E. Herrera-Viedma. Fuzzy logic expert system for selecting robotic hands using kinematic parameters. Journal of Ambient Intelligence and Humanized Computing 11 (2020) 1553–1564. doi: 10.1007/s12652-019-01229-x
  • [2682] P. Lázaro-Rodríguez, J. López-Gijón, S. Alonso, E. Herrera-Viedma. Actualidad en estudios LibQUAL+®: paradigmas de la biblioteca informativa y social-creadora y cuestión de género como reflejos de la realidad social. Revista Española de Documentación Científica, v. 43 n. 2, e264.. doi: 10.3989/redc.2020.2.1649
  • [2683] J.A. Morente-Molinera, X. Wu, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures. Information Fusion, 53, 2020, 240-250.. doi: 10.1016/j.inffus.2019.06.028
  • [2709] B. Farhadinia, E. Herrera-Viedma. A vertical ranking technique for linguistic hesitant fuzzy sets. Soft Computing 24 (2020) 8997–9009. doi: 0.1007/s00500-019-04426-0
  • [2714] P. Lázaro-Rodríguez, J. López-Gijón, E. Herrera-Viedma.. Bibliotecas y eficiencia: adaptación del indicador de la Potencia del Sistema de la metodología Secaba-Rank para nuevas necesidades al servicio de una sociedad cambiante. BiD: textos universitaris de biblioteconomia i documentació, n. 44 (junio).
  • [2718] Z. Gong, W. Guo, E. Herrera-Viedma, Z. Gong, G. Wei. Consistency and consensus modeling of linear uncertain preference relations. EJOR, Volume 283, Issue 1, 16 May 2020, Pages 290-307..
  • [2719] A. Taghavi, E. Eslami, E. Herrera-Viedma, R. Ureña. Trust based group decision making in environments with extreme uncertainty. KNOSYS, Volume 191, 5 March 2020, 105168..
  • [2720] Q. Zha, Y Dong, H Zhang, F Chiclana , and E Herrera-Viedma. A Personalized Feedback Mechanism Based on Bounded Confidence Learning to Support Consensus Reaching in Group Decision Making. IEEE Trans. Syst. Man and Cyb: Systems, 51:6, Pages 3900-3910.. doi: 10.1109/TSMC.2019.2945922
  • [2721] F.J. Cabrerizo, R. Al-Hmouz, A. Morfeq, M.A. Martínez, W. Pedrycz, E. Herrera-Viedma. Estimating incomplete information in group decision making: A framework of granular computing. Applied Soft Computing 86 (2020) 105930. doi: 10.1016/j.asoc.2019.105930 PDF Icon
  • [2727] J. Tang, F. Meng, F.J. Cabrerizo, E. Herrera-Viedma. Group decision making with interval-valued intuitionistic multiplicative linguistic preference relations. Group Decision and Negotiation 29 (2020) 169-206. doi: 10.1007/s10726-019-09646-1 PDF Icon
  • [2728] A. Yazidi, H. Hammer, K. Samouylov, E. Herrera-Viedma. Game-Theoretic Learning for Sensor Reliability Evaluation without Knowledge of the Ground Truth. IEEE Transactions on Cybernetics (Volume: 51, Issue: 12, December 2021) Pages: 5706 – 5716. doi: 10.1109/TCYB.2019.2958616
  • [2736] A. B. Arrieta, N. Díaz-Rodríguez, J. Del Ser, A. Bennetot, S. Tabik, A. Barbado, S. García, S. Gil-Robles, D. Molina, R. Benjamins, R. Chatila, F. Herrera. Explainable ArtificialIntelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58 (2020) 82-115. doi: 10.1016/j.inffus.2019.12.012 PDF Icon BibTex Icon
  • [2740] J. Bernabé-Moreno, A. Tejeda-Lorente, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. KNOSYS, Vol. 190, 29 February 2020, 105236.. doi: 10.1016/j.knosys.2019.105236 BibTex Icon
  • [2742] J.A. Moral-Muñoz, E. Herrera-Viedma, A. Santisteban-Espejo, M.J. Cobo. Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la información, 29:1, e290103. (2020). doi: 10.3145/epi.2020.ene.03
    Link to PDF

  • [2743] A. Kirimtat, O. Krejcar, A. Selamat, E. Herrera-Viedma. FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography. BMC Bioinformatics 21 (2020) 88. doi: 10.1186/s12859-020-3355-7
  • [2745] R-X. Ding, I. Palomares, X. Wang, G-R. Yang, B. Liu, Y. Dong, E. Herrera-Viedma, F. Herrera. Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. Information Fusion 59 (2020) 84-102. doi: 10.1016/j.inffus.2020.01.006
  • [2749] W. Arroyo-Machado, D. Torres-Salinas, E. Herrera-Viedma, E. Romero-Frías. Science through Wikipedia: A novel representation of open knowledge through co-citation networks. PLoS ONE 15:2 (2020) e022871. doi: 10.1371/journal.pone.0228713
  • [2750] F. Meng, J. Tang, F.J. Cabrerizo, E. Herrera-Viedma. A rational and consensual method for group decision making with interval-valued intuitionistic multiplicative preference relations. Engineering Applications of Artificial Intelligence 90 (2020) 103514. doi: 10.1016/j.engappai.2020.103514 PDF Icon
  • [2751] H. Zhang, J. Xiao, Y. Dong, F. Chiclana, E. Herrera-Viedma. Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information. Institute of Industrial and Systems Engineers (IISE) Transactions 52:11 (2020) 1275-1296. doi: 10.1080/24725854.2020.1731774
  • [2752] J.A. Morente-Molinera, F.J. Cabrerizo, J. Mezei, C. Carlsson, E. Herrera-Viedma. A dynamic group decision making process for high number of alternatives using hesitant fuzzy ontologies and sentiment analysis. Knowledge-Based Systems, Volume 195, 11 May 2020, 105657.. doi: 10.1016/j.knosys.2020.105657
  • [2753] D. Cavaliere, J.A. Morente-Molinera, V. Loia, S. Senatore, E. Herrera-Viedma. Collective scenario understanding in a multi-vehicle system by consensus decision making. IEEE Transactions on Fuzzy Systems 28:9 (2020) 1984-1995. doi: 10.1109/TFUZZ.2019.2928787
  • [2756] R. Ureña, F. Chiclana, A. Gonzalez-Alvarez, E. Herrera-Viedma, J. A. Moral-Munoz. m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition. Sensors 20:5 (2020) 1462. doi: 10.3390/s20051462
  • [2763] D. Cavaliere, J.A. Morente-Molinera, S. Senatore, E. Herrera-Viedma. An agent-based modeling for collective scene criticality assessment in multi-UV systems. Journal of Ambient Intelligence and Humanized Computing 11 (2020) 5153–5165. doi: 10.1007/s12652-020-01830-5
  • [2765] R. Ureña, F. Chiclana, E. Herrera-Viedma. DeciTrustNET: A graph based trust and reputation framework for social networks. Information Fusion, Volume 61, September 2020, Pages 101-112..
  • [2766] J.A. Morente-Molinera, F.J. Cabrerizo, S. Alonso, M.A. Martínez, E. Herrera-Viedma. Using multi-granular fuzzy linguistic modelling methods to represent social networks related information in an organized way. International Journal of Computers Communications & Control 15:2 (2020) 3851. doi: 10.15837/ijccc.2020.2.3851
  • [2767] R. Gupta, M. Khari, V. Gupta, E. Verdú, Xing Wu, E. Herrera-Viedma, R. Gonzalez Crespo. Fast Single Image Haze Removal Method for Inhomogeneous Environment Using Variable Scattering Coefficient. Computer Modeling in Engineering and Sciences 123:2 (2020) 1175-1192. doi: 10.32604/cmes.2020.010092
  • [2769] O. Taylan, R. Alamoudi, M. Kabli, A. AlJifri, F. Ramzi, E. Herrera-Viedma. Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions. Sustainability 12 (2020) 2745. doi: 10.3390/su12072745
  • [2856] J. Guallar, J.R. López-Robles, E. Abadal, N.K. Gamboa-Rosales, M.J. Cobo. Spanish Information Science journals in Web of Science: bibliometric analysis and thematic evolution from 2015 to 2019. Profesional de la información, v. 29, n. 6, e290606. 2020. doi: 10.3145/epi.2020.nov.06
  • [2771] W. Xie, Z. Xu, Z. Ren, E. Herrera-Viedma. A new multi-criteria decision model based on incomplete dual probabilistic linguistic preference relations. ASOC, Volume 91, June 2020, 106237.
  • [2772] A.I. Maghsoodi, D. Riahi, E. Herrera-Viedma, E.K. Zavadskas. An integrated parallel big data decision support tool using the W-CLUS-MCDA: A multi-scenario personnel assessment. Knowledge-Based Systems 195 (2020) 105749. doi: 10.1016/j.knosys.2020.105749
  • [2776] J. Cascón-Katchadourian, J.A. Moral-Muñoz, H. Liao, M.J. Cobo. Análisis bibliométrico de la Revista Española de Documentación Científica desde su inclusión en la Web of Science (2008-2018). Revista Española de Documentación científica. doi: 10.3989/redc.2020.3.1690 PDF Icon
  • [2777] H. D. Nguyen, N. V. Do, V. T. Pham, A. Selamat, E. Herrera-Viedma. A method for knowledge representation to design Intelligent Problems Solver in mathematics based on Rela-Ops model. IEEE Access,(Volume: 8), Pages: 76991 – 77012. doi: 10.1109/ACCESS.2020.2988929
  • [2778] G. Kou, X. Chao, Y. Peng, F. E. Alsaadi, E. Herrera-Viedma. Machine learning methods for systemic risk analysis in financial sectors. Technological and Economic Development of Economy, 25(5), 716-742. doi: 10.3846/tede.2019.8740
  • [2780] S. J. Fong, G. Lib, Ni. Dey, R. González Crespo, E. Herrera-Viedma. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction. Applied Soft Computing, Volume 93, August 2020, 106282. doi: 10.1016/j.asoc.2020.106282
  • [2781] M. Santana, M.J. Cobo. What is the future of work? A science mapping analysis. European Management Journal 38:6, 846-862, 2020. doi: 10.1016/j.emj.2020.04.010 PDF Icon
  • [2790] J. Maillo, S. García, J. Luengo, F. Herrera, I. Triguero. Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data. IEEE Transactions on Fuzzy Systems 28(5): 874-886 (2020). doi: 10.1109/TFUZZ.2019.2936356
  • [2795] W. Ding, CT. Lin, AWC. Liew, I. Triguero, W. Luo. Current trends of granular data mining for biomedical data analysis. Information Sciences, 2020, 510 pp. 341 - 343.
  • [2797] M. Jiménez, MT. Torres, R. John, I. Triguero. Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access 8, 47232-47246.
  • [2798] J.C. Bailón-Elvira, M.J. Cobo, A.G. López-Herrera. Boletín Oficial del Estado: análisis de metadatos, detección de errores y recomendaciones de mejora. Profesional de la información, v. 29, n. 2, e290226. doi: 10.3145/epi.2020.mar.26
  • [2799] A. Anguita-Ruiz, A. Segura-Delgado, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. PLoS Computational Biology 16:4 (2020) 1-34. doi: 10.1371/journal.pcbi.1007792 BibTex Icon
  • [2800] A. Segura-Delgado, M.J. Gacto, R. Alcalá, J. Alcalá-Fdez. Temporal association rule mining: An overview considering the time variable as an integral or implied component. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 10:4 (2020) e1367. doi: 10.1002/widm.1367 BibTex Icon
  • [2801] N. Wua, Y. Xua, X. Liua, H. Wang, E. Herrera-Viedma. Water-Energy-Food nexus evaluation with a social network group decision making approach based on hesitant fuzzy preference relations. ASOC, Volume 93, August 2020, 106363..
  • [2802] P. Lázaro-Rodríguez, E. Herrera-Viedma. Noticias sobre Covid-19 y 2019-nCoV en medios de comunicación de España: el papel de los medios digitales en tiempos de confinamiento. El profesional de la información, v. 29, n. 3, e290302. 2020. doi: 10.3145/epi.2020.may.02
  • [2803] H. Seiti, A. Hafezalkotob, E. Herrera-Viedma. A Novel Linguistic Approach for Multi-Granular Information Fusion and Decision-Making Using Risk-Based Linguistic D Numbers. Information Sciences 530 (2020) 43-65.
  • [2804] M. Gutiérrez-Salcedo, J.R. López-Robles, M.A. Martínez-Sánchez, E. Herrera-Viedma, M.J. Cobo. Identification and visualization of the conceptual structure and main research themes of Studies in Informatics and Control journal from 2008 to 2019. Studies in Informatics and Control, 29:2, pp. 159-168, 2020. doi: 10.24846/v29i2y202002
  • [2805] J. Herce-Zelaya, C. Porcel, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Information Sciences, volumen 536, 156-170, 2020. doi: 10.1016/j.ins.2020.05.071
  • [2806] F.J. Cabrerizo, M. Heikkilä, J. Mezei, J.A. Morente-Molinera, E. Herrera-Viedma, C. Carlsson. Granular fuzzy pay-off method for real option valuation. Expert Systems with Applications 159 (2020) 113597. doi: 10.1016/j.eswa.2020.113597
  • [2808] C. Panigrahy, A. Seal, N. Kumar Mahato, O. Krejcar, E. Herrera-Viedma. Multi-focus Image Fusion using Fractal Dimension. Applied Optics 59:19 (2020) 5642-5655. doi: 10.1364/AO.391234
  • [2809] E. Herrera-Viedma, J.R. López-Robles, J. Guallar, M.J. Cobo. Global trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMAT. Profesional de la información, 29:3 (2020), e290322. doi: 10.3145/epi.2020.may.22
  • [2810] X. Tian, M. Niu, W. Zhang, L. Li, E. Herrera-Viedma. A novel TODIM based on prospect theory to select green supplier with q-rung orthopair fuzzy set. Technological and Economic Development of Economy, 2021 Volume 27 Issue 2: 284–310. doi: 10.3846/tede.2020.12736
  • [2811] P. Lázaro-Rodríguez. Bibliotecas y efecto Pigmalión: la importancia de la interpretación de resultados y otras cuestiones metodológicas a partir de una crítica al Barómetro de hábitos de lectura y compra de libros en España de 2019. Anuario ThinkEPI, v. 14, e14b01. doi: 10.3145/thinkepi.2020.e14b01
  • [2812] P. Lázaro-Rodríguez. Covid-19, medios digitales y Facebook: interacciones, tratamiento y análisis de contenido basado en palabras clave de noticias de okdiario.com y eldiario.es. Profesional de la información. v. 29, n. 4, e290409.
  • [2819] J. Cascón-Katchadourian, J. Alberich, A. Quesada-Román. Revisión y sistematización del proceso de digitalización y publicación de cartografía antigua en medios digitales. Investigación Bibliotecológica, 34:83 (2020) 13-35. doi: 10.22201/iibi.24488321xe.2020.83.58137 PDF Icon
  • [2828] E. Crisol, L. Herrera, R. Montes. Educación virtual para todos: una revisión sistemática. Education in the Knowledge Society (EKS) 21:0, 2020. doi: 10.14201/eks.20327
  • [2829] C. Porcel, J. Herce-Zelaya, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. International Journal Of Computers Communications & Control. [S.l.], v. 15, n. 3, apr. 2020. ISSN 1841-9844.. doi: 10.15837/ijccc.2020.3.3858
  • [2830] P. Sánchez-Núñez, M.J. Cobo, C. de las Heras-Pedrosa, J.I. Peláez, E. Herrera-Viedma. Opinion Mining, Sentiment Analysis and Emotion Understanding in Advertising: A Bibliometric Analysis. IEEE Access, 8, pp. 134563-134576, (2020). doi: 10.1109/ACCESS.2020.3009482
  • [2833] L. Bertolin-Furstenau, Mi. Kremer-Sott, L. M-Kipper, Ê.L. Machado, J.R López-Robles, M.S. Dohan., M.J. Cobo, A. Zahid, Q.H. Abbasi, M. Ali Imran. Link between sustainability and industry 4.0: trends, challenges and new perspectives. IEEE Access, 8, pp. 140079-140096, (2020). doi: 10.1109/ACCESS.2020.3012812
  • [2838] R. González-Crespo, E. Herrera-Viedma, N. Dey, S. J. Fong, G. Li. Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak. IJIMAI, 6:1, (2020) pp. 132-140..
  • [2839] M.K. Sott, L.B. Furstenau, L.M. Kipper, F.D. Giraldo, J.R. López-Robles, M.J. Cobo, A. Zahid, Q.H. Abbasi, M.A. Imran. Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends. IEEE Access, 8, pp. 149854-149867, (2020). doi: 10.1109/ACCESS.2020.3016325
  • [2841] J.T. Ellis, B. Ellis, A. Velez-Estevez, M.P. Reichel, M.J. Cobo. 30 years of parasitology research analysed by text mining. Parasitology 147:14, pp. 1643 - 1657. 2020. doi: 10.1017/S0031182020001596
  • [2842] J. Cascón-Katchadourian. Tecnologías para luchar contra la pandemia Covid-19: geolocalización, rastreo, big data, SIG, inteligencia artificial y privacidad. Profesional de la información 29:4 (2020) e290429. doi: 10.3145/epi.2020.jul.29 PDF Icon
  • [2843] P. Lázaro-Rodríguez. COBib-Públicas: observatorio de las bibliotecas públicas en España durante la pandemia por Covid-19 basado en noticias digitales. Anuario ThinkEPI, v. 14, e14b01.. doi: 10.3145/thinkepi.2020.e14b04
  • [2845] J. Cascón-Katchadourian. Identification and analysis of the H-Classics of andalusian of public universities in the economics category of the journal citation (JCR). Revista de Estudios Empresariales. Segunda Epoca 1 (2020) 75-90. doi: 10.17561//ree.v2020n1.6 PDF Icon
  • [2847] D. Molina, J. Poyatos, J.D. Del Ser, S. García, A. Hussain, F. Herrera. Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cognitive Computation 12:5 (2020) 897-939. doi: 10.1007/s12559-020-09730-8 PDF Icon BibTex Icon
  • [2849] J.A. Morente-Molinera, F.J. Cabrerizo, S. Alonso, I.J. Pérez, E. Herrera-Viedma. Assisting users in decisions using fuzzy ontologies: Application in the wine market. Mathematics 8:10 (2020) 1724. doi: 10.3390/math8101724 PDF Icon
  • [2850] S. Ramadass, K. Raghunathan, K. S. Ravichandran, H. Liao, S. Kar, E. Herrera-Viedma. Evaluation of cloud vendors from probabilistic linguistic information with unknown/partial weight values. Applied Soft Computing 97 (2020) 106801. doi: 10.1016/j.asoc.2020.106801
  • [2852] O. Gómez, O. Ibáñez, A. Valsecchi, E. Bermejo, D. Molina, O. Cordón. Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D–2D Comparative Radiography. Applied Soft Computing 97:A (2020) 106793. doi: 10.1016/j.asoc.2020.106793 PDF Icon BibTex Icon
  • [2857] R. Heradio, D. Fernandez-Amoros, C. Cerrada, M.J. Cobo. Group Decision-Making Based on Artificial Intelligence: A Bibliometric Analysis. Mathematics 2020, 8(9), 1566. doi: 10.3390/math8091566
  • [2866] M.K. Sott, M.S. Bender, L.B. Furstenau, L.M. Machado, M.J. Cobo, N.L. Bragazzi. 100 Years of Scientific Evolution of Work and Organizational Psychology: A Bibliometric Network Analysis From 1919 to 2019. Frontiers in Psychology 11, pp. 3411. 2020. doi: 10.3389/fpsyg.2020.598676
  • [2951] A.I. Maghsoodi, S. Soudian, L. Martínez, E. Herrera-Viedma, E.K. Zavadskas. A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications. Applied Soft Computing 95 (2020) 106508. doi: 10.1016/j.asoc.2020.106508
  • [2960] A. Anguita-Ruiz, E.M. González-Gil, A.I. Rupérez, F.J. Llorente-Cantarero, B. Pastor-Villaescusa, J. Alcalá-Fdez, L.A. Moreno, Á. Gil, M. Gil-Campos, G. Bueno, R. Leis, C.M. Aguilera. Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty. Journal of Clinical Medicine 9:6 (2020) 1705. doi: 10.3390/jcm9061705 BibTex Icon
  • [3028] M.F. Khan, D. Goyal, M.M. Nofal, E. Khan, R. Al-Hmouz, E. Herrera-Viedma. Fuzzy-based Histogram Partitioning for Bi-Histogram Equalisation of Low Contrast Images. IEEE Access (Volume: 8) Pages: 11595 – 11614. doi: 10.1109/ACCESS.2020.2965174
  • [3082] G. González-Almagro, J. Luengo, J. R. Cano, S. García. DILS: Constrained clustering through dual iterative local search. Computers & Operations Research 121: 104979 (2020). doi: 10.1016/j.cor.2020.104979
  • [3083] J. A. Cortés-Ibáñez, S. González, J. J. Valle-Alonso, J. Luengo, S. García, F. Herrera. Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514: 385-401 (2020). doi: j.ins.2019.11.027
  • [3084] S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, M. Rey-Area, D. Charte, E. Guirado, J.-L. Suárez, J. Luengo, M. A. Valero-González, P. García-Villanova, E. Olmedo-Sánchez, F. Herrera. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics 24(12): 3595-3605 (2020). doi: 10.1109/JBHI.2020.3037127


2019 (77)

  • [2335] S. Elhag, A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems. Soft Computing 23:4 (2019) 1321-1336. doi: 10.1007/s00500-017-2856-4 PDF Icon BibTex Icon
  • [2391] E.A. Callejas, J.A. Cerrada, C. Cerrada, F.J. Cabrerizo. Group decision making based on a framework of granular computing for multi-criteria and linguistic contexts. IEEE Access 7 (2019) 54670-54681. doi: 10.1109/ACCESS.2019.2913338
  • [2439] B. Farhadinia, E. Herrera-Viedma. Sorting of decision making methods based on their outcomes using dominance-vector hesitant fuzzy based distance. Soft Computing, 2019, Vol. 23, Issue 4, pp 1109–1121..
  • [2447] J.M. Merigó, M.J. Cobo, S. Laengle, D. Rivas, E. Herrera-Viedma. Twenty years of Soft Computing: A bibliometric overview. Soft Computing, 23:5 pp 1477–1497 (2019). doi: 10.1007/s00500-018-3168-z
  • [2669] Y. Dong, W. Liu, F. Chiclana, G. Kou, E. Herrera-Viedma. Are incomplete and self-confident preference relations better in multicriteria decision making? A simulation-based investigation.. Information Sciences, 492, 2019, 40-57..
  • [2477] M. R. Ureña, F. Chiclana, G. Melancon, E. Herrera-Viedma. A social network based approach for consensus achievement in multiperson decision making. Information Fusion, 47 (2019) 72-87..
  • [2485] J. Cózar, A. Fernandez, F. Herrera, J.A. Gámez. A Meta-Hierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Transactions on Fuzzy Systems 27:4 (2019) 701-715. doi: 10.1109/TFUZZ.2018.2866967 PDF Icon BibTex Icon
  • [2488] Z. Zhaoa, X. Zhang, C. Li, F. Chiclana, E. Herrera-Viedma. An Incremental Method to Detect Communities in Dynamic Evolving Social Networks. Knowledge-Based Systems, 163 (2019) 404–415.
  • [2490] A. Fernandez, M.J. de Jesus, O. Cordon, F. Marcelloni, F. Herrera. Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?. IEEE Computational Intelligence Magazine 14:1 (2019) 69-81. doi: 10.1109/MCI.2018.2881645 PDF Icon BibTex Icon
  • [2499] B. Farhadinia, F.J. Cabrerizo, E. Herrera-Viedma. Horizontal representation of a hesitant fuzzy set and its application to multiple attribute decision making. Iranian Journal of Fuzzy Systems 16:5 (2019) 1-13. doi: 10.22111/ijfs.2019.4900
  • [2503] Y. Liu, Y. Dong, H.Liang, F. Chiclana, E. Herrera-Viedma. Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Trans. Syst. Man and Cyb: Systems, (49):10 (2019) ,pp. 1981-1992..
  • [2506] RC. Prati, J. Luengo, F. Herrera. Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. Knowledge and Information Systems 60(1): 63-97 (2019). doi: 10.1007/s10115-018-1244-4
  • [2512] J.A. Morente-Molinera, G. Kou, C. Pang, F.J. Cabrerizo, E. Herrera-Viedma. An automatic procedure to create fuzzy ontologies from users' opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods. Information Sciences 476 (2019) 222-238. doi: 10.1016/j.ins.2018.10.022
  • [2513] R. Ureña, G. Kou, Y. Dong, F. Chiclana, E. Herrera-Viedma. A review on trust propagation and opinion dynamics in social networks and group decision making frameworks. Information Sciences, Volume 478, (2019) 461-475.
  • [2516] N. Capuano, F. Chiclana, E. Herrera-Viedma, H. Fujita, V. Loia. Fuzzy Group Decision Making for Influence-Aware Recommendations. Computers in Human Behavior, Volume 101, December 2019, Pages 371-379.. doi: 10.1016/j.chb.2018.11.001
  • [2523] A. Gómez-Ríos, S. Tabik, J. Luengo, ASM. Shihavuddin, B. Krawczyk, F. Herrera. Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Systems with Applications 118 (2019) 315-328. doi: 10.1016/j.eswa.2018.10.010
  • [2526] X. Mao, X. Zhao, J. Lin, E. Herrera-Viedma. Utilizing multi-source data in popularity prediction for shop-type recommendation. Knowledge-Based Systems, Volume 165, 1 February 2019, Pages 253-267. doi: 10.1016/j.knosys.2018.11.033
  • [2534] J.A. Morente-Molinera, G. Kou, K. Samuylov, R. Ureña, E. Herrera-Viedma. Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions. Knowledge-Based Systems, 165, 335-345. doi: 10.1016/j.knosys.2018.12.006
  • [2543] I. Triguero, D. García-Gil, J. Maillo, J. Luengo, S. García, F. Herrera. Transforming big data into smart data: An insight on the use of the k nearest neighbors algorithm to obtain quality data. Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery. e1289. doi: 10.1002/widm.1289
  • [2544] C-C Li, Y. Dong, Y. Xu, F. Chiclana, E. Herrera-Viedma, F. Herrera. An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions. Information Fusion, Vol. 52, 2019, Pages 143-156..
  • [2545] X. Liu, Y. Xu, R. Montes, R. Ding, F. Herrera. Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 27:1, 159-171, January 2019. doi: 10.1109/TFUZZ.2018.2876655
  • [2554] X. Liu, Y. Xu, R. Montes, Y. Dong, F. Herrera. Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making. Int J Intell Syst. 34:5 (2019) 920-946. doi: 10.1002/int.22081
  • [2555] B. Zhang, Y. Dong,E. Herrera-Viedma. Group decision making with heterogeneous preference structures: An automatic mechanism to support consensus reaching. Group Decision & Negotiation, 28:3, 585-617, 2019..
  • [2556] F.M.A. Alias, L. Abdullah, H. Liao, E. Herrera-Viedma. Consistent Fuzzy Preference Relation with Geometric Bonferroni Mean: A Fused Preference Method for Assessing the Quality of Life. Applied Intelligence 49 (2019) 2672–2683. doi: 10.1007/s10489-019-01415-6
  • [2557] D. García-Gil, J. Luengo, S. García, F. Herrera. Enabling smart data: noise filtering in big data classification. Information Sciences 479, 135-152. doi: 10.1016/j.ins.2018.12.002
  • [2561] R. Urena, G. Kou, J. Wu, F. Chiclana, E. Herrera-Viedma. Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type 2 Fuzzy Sets. Int. J. of Intelligent Systems, 2019;34:1261-1280..
  • [2562] J.R. López-Robles, J.R. Otegi-Olaso, I. Porto-Gómez, M.J. Cobo. 30 Years of Intelligence Models in Management and Business: A Bibliometric Review. International Journal of Information Management, 48, pp 22-38 (2019). doi: 10.1016/j.ijinfomgt.2019.01.013
  • [2564] L. Ruiz-González, D. Lucena-Antón, A. Salazar, R. Martín-Valero, J.A. Moral-Muñoz. Physical Therapy in Down Syndrome: Systematic review and Meta-analysis. Journal of Intellectual Disability Research.
  • [2568] A. Castillo, S. Tabik, F. Pérez, R. Olmos, F. Herrera. Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330(2019) 151-161. doi: 10.1016/j.neucom.2018.10.076 PDF Icon BibTex Icon
    Complementary material

  • [2571] S. González, S. García, S-T. Li, F. Herrera. Chain based sampling for monotonic imbalanced classification. Information Sciences 474 (2019) 187-204. doi: 10.1016/j.ins.2018.09.062
  • [2575] M. López, A. Valdivia, E. Martínez-Cámara, M.V. Luzón, F. Herrera. E2SAM: Evolutionary Ensemble of Sentiment Analysis Methods for Domain Adaptation. Information Sciences, 480 (2019) 273-286. doi: 10.1016/j.ins.2018.12.038 BibTex Icon
    Read the paper

  • [2620] V. Perez-Cabezas, C. Ruiz-Molinero, B. Nuñez-Moraleda, J.J. Jimenez-Rejano, R. Chillon-Martinez, J.A. Moral-Muñoz. Guillain-Barre Syndrome and Zika infection: Identifying leading producers, countries relative specialization, and collaboration. FEMS Microbiology Letters.
  • [2628] M. Jiménez, I. Triguero, R. John. Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. Information Sciences 479, 301-320. doi: 10.1016/j.ins.2018.12.011 BibTex Icon
  • [2642] B. Farhadinia, E. Herrera-Viedma. Multiple criteria group decision making method based on extended hesitant fuzzy sets with unknown weight information. Applied Soft Computing, 78, 2019, 310-323..
  • [2639] R. Tickle, I. Triguero, GP. Figueredo, M. Mesgarpour, R. John. PAS3-HSID: A Dynamic Bio-Inspired Approach for Real-time Hot Spot Identification in Data Streams. Cognitive Computation 11 (3), 434-458.
  • [2640] J.M. Soto-Hidalgo, A. Vitiello, J.M. Alonso, G. Acampora, J. Alcalá-Fdez. Design of Fuzzy Controllers for Embedded Systems With JFML. International Journal of Computational Intelligence Systems 12:1 (2019) 204-214. doi: 10.2991/ijcis.2019.125905646 BibTex Icon
  • [2641] J. Tang, F. Meng, F.J. Cabrerizo, E. Herrera-Viedma. A procedure for group decision making with interval-valued intuitionistic linguistic fuzzy preference relations. Fuzzy Optimization and Decision Making 18:4 (2019) 493-527. doi: 10.1007/s10700-019-09304-w
  • [2663] P. Lázaro-Rodríguez, J. López-Gijón, E. Herrera-Viedma. Secaba-Rank a examen: validación de su metodología sobre eficiencia en bibliotecas versus la técnica Data Envelopment Analysis (DEA) y el método Finlandia. El profesional de la Información, v. 28, n. 3, e280316. doi: 10.3145/epi.2019.may.16
  • [2666] J.A. Morente-Molinera, S.Ríos-Aguilar, R. González-Crespo, E. Herrera-Viedma. Dealing with group decision making environments that have a high amount of alternatives using card-sorting techniques. Expert systems with applications 127 (2019) 187-198.
  • [2667] JR. Cano, J. Luengo, S. García. Label Noise Filtering Techniques to Improve Monotonic Classification. Neurocomputing 353: 83-95 (2019). doi: 10.1016/j.neucom.2018.05.131
  • [2668] Y. Dong, Y. Fan, H. Liang, F. Chiclana, E. Herrera-Viedma. Preference evolution with deceptive interactions and heterogeneous trust in bounded confidence model: A simulation analysis. Knowledge-Based Systems. 175, 2019, 87-95..
  • [2670] H. Liao, L. Abdullah, N. Zulkifli, E. Herrera-Viedma, A. Al-Barakati. An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management. Engineering Applications of Artificial Intelligence, 82, 207-215, 2019..
  • [2672] J.A. Moral-Muñoz, L. Carballo-Costa, E. Herrera-Viedma, M.J. Cobo. Production trends, collaboration, and main topics of the Integrative & Complementary Oncology research area: A bibliometric analysis. Integrative Cancer Therapies 18 (2019) 1-14. doi: 10.1177/1534735419846401
  • [2674] H. Ordoñez, J. Torres-Jimenez, C.Cobos, A. Ordoñez, E. Herrera-Viedma, Gildardo Maldonado-Martinez. A business process clustering algorithm using incremental covering arrays to explore search space and balanced Bayesian information criterion to evaluate quality of solutions. PLoS ONE 14:6 (2019) e021768. doi: 10.1371/journal.pone.0217686
  • [2675] N. Robinson-Garcia, D. Torres-Salinas, E. Herrera-Viedma, D. Docampo. Mining university rankings: Publication output and citation impact as their basis. Research Evaluation, 28:3, 2019, 232–240..
  • [2676] W. Xie, Z. Xu, Z. Ren, E. Herrera-Viedma. Expanding grey relational analysis with the comparable degree for dual probabilistic multiplicative linguistic term sets and its application on the cloud enterprise. IEEE Access, Vol. 7 (2019) pp. 75041 - 75057.
  • [2677] J.A. Moral-Muñoz, W. Zhang, M.J. Cobo, E. Herrera-Viedma, D.B. Kaber. Smartphone-based systems for physical rehabilitation applications: A systematic review. Assistive Technology, 33:4 (2019) 223-236. doi: 10.1080/10400435.2019.1611676
  • [2680] H. Ordoñez, J. Torres-Jimenez, C. Cobos, A. Ordoñez, E. Herrera-Viedma, G. Maldonado-Martinez. A Business Process Clustering Algorithm Using Incremental Covering Arrays to Explore Search Space and Balanced Bayesian Information Criterion to Evaluate Quality of Solutions. PLoS ONE 14(6): e0217686. https://doi.org/10.1371/journal.pone.0217686..
  • [2681] C. Moreno, R. A. Carrasco, E. Herrera-Viedma. Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable MarketOriented Organisations. International Journal of Interactive Multimedia and Artificial Intelligence, 5:6 (2019) pp. 7-14. doi: 10.9781/ijimai.2019.06.003
  • [2684] X. Mi, J. Li, H. Liao, E.K.Zavadskas, A. Al-Barakati, O. Taylan, E. Herrera-Viedma. Hospitality brand management by a score-based q-rung orthopair fuzzy VIKOR method integrated with the best worst method. Economic Research-Ekonomska Istraživanja 32:1 (2019) 3272-3301. doi: 10.1080/1331677X.2019.1658533
  • [2685] O. Krejcar, P. Maresova, A. Selamat, F. Jose Melero, S. Barakovic, J. Barakovic-Husic, E. Herrera-Viedma, R. Frischer, K. Kuca. Smart Furniture as a Component of a Smart City - Definition Based on Key Technologies Specification. IEEE Access 7 (2019) 94822-94839. doi: 10.1109/ACCESS.2019.2927778
  • [2686] Bio-inspired computation: Where we stand and what's next. J. Del Ser, E. Osaba, D. Molina, X.S. Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P.N. Suganthan, C.A. Coello Coello, F. Herrera. Swarm and Evolutionary Computation, 48 (2019) 220-250.. doi: 10.1016/j.swevo.2019.04.008 PDF Icon BibTex Icon
  • [2687] F. Blanco-Mesa, E. León-Castro, J. M. Merigó, E. Herrera-Viedma. Variances with Bonferroni means and ordered weighted averages. International Journal of Intelligent Systems 34:11 (2019) 3020-3045. doi: 10.1002/int.22184
  • [2688] X. Liu, Y. Xu, R. Montes, F. Herrera. Social network group decision making: Managing self-confidence based consensus model with dynamic importance degree of experts and trust-based feedback mechanism. Information Sciences 505 (2019) 215-232. doi: j.ins.2019.07.050
  • [2689] Y. Xu, Y. Xi, F.J. Cabrerizo, E. Herrera-Viedma. An alternative consensus model of additive preference relations for group decision making based on the ordinal consistency. International Journal of Fuzzy Systems 21:6 (2019) 1818-1830. doi: 10.1007/s40815-019-00696-w
  • [2690] J. Del Ser, E. Osaba, D. Molina, Xin-She Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P. N.Suganthan, C. A.Coello, F. Herrera. Bio-inspired computation: Where we stand and what's next. Swarm and Evolutionary Computation 48 (2019) 220-250. doi: 10.1016/j.swevo.2019.04.008 PDF Icon BibTex Icon
  • [2691] M. Leon, N. Xiong, D. Molina, F. Herrera. A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. International Journal of Computational Intelligence Systems 12:2 (2019) 795-808. doi: 10.2991/ijcis.d.190711.001 PDF Icon BibTex Icon
  • [2694] Y. Wei, X. Zhao, J. Zou, E. Herrera-Viedma. A location complementing preference based method for location recommendation with cellular data. Knowledge-Based Systems 183 (2019) 104889. doi: 10.1016/j.knosys.2019.104889
  • [2695] M.J. Gacto, J.M. Soto-Hidalgo, J. Alcalá-Fdez, R. Alcalá. Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7 (2019) 108916-108939. doi: 10.1109/ACCESS.2019.2933261 BibTex Icon
  • [2708] A. Fernandez, I. Triguero, M. Galar, F. Herrera. Guest Editorial: Computational Intelligence for Big Data Analytics. Cognitive Computation 11 (2019) 329–330. doi: 10.1007/s12559-019-09647-x PDF Icon BibTex Icon
  • [2730] Q. Zha, Y. Dong, H. Zhang, F Chiclana, E Herrera-Viedma. A Personalized Feedback Mechanism Based on Bounded Confidence Learning to Support Consensus Reaching in Group Decision Making. IEEE Trans. Syst. Man and Cyb: Systems, 51:6 (2019) 3900 - 3910. doi: 10.1109/TSMC.2019.2945922
  • [2746] I. A. Rodriguez, R. Ureña, E. Herrera-Viedma. Fuzzy clustering approach for brain tumor tissue segmentation in magnetic resonance images. Soft Computing. 2019, 23:20, pp 10105–10117..
  • [2747] F. M. Anira-Alias, L. Abdullah, H. Liao, E. Herrera-Viedma. Consistent Fuzzy Preference Relation with Geometric Bonferroni Mean: A Fused Preference Method for Assessing the Quality of Life. Applied Intelligence, 2019, 49:7, pp 2672–2683..
  • [2754] L. Herrera, E. Crisol, R. Montes. A MOOC on universal design for learning designed under the UDL paradigm. Australasian Journal of Educational Technology 35:6 (2019) 30–47. doi: 10.14742/ajet.5532
  • [2783] W. Ding, GG. Yen, G. Beliakov, I. Triguero, M. Pratama, X. Zhang, H Li. IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7, 47682-47686.
  • [2784] JS. Angarita-Zapata, AD. Masegosa, I. Triguero. A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7, 68185-68205.
  • [2785] H. Song, I. Triguero, E. Özcan. A review on the self and dual interactions between machine learning and optimisation. Progress in Artificial Intelligence 8 (2), 143-165.
  • [2787] M. Aboufoul, A. Chiarelli, I. Triguero, A. Garcia. Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads. Powder Technology 352, 294-304.
  • [2791] T. Wei, J. Zhou, R. Ranjan, I. Triguero, H. Yu, CJ. Xue, S. Dustdar. Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems. ACM Transactions on Cyber-Physical Systems 3 (4), 1-2.
  • [2792] M. Canizo, I. Triguero, A. Conde, E. Onieva. Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing 363, 246-260.
  • [2817] J. Cascón-Katchadourian, A.G. López-Herrera, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. Proyecto Histocarto, aplicación de SIGs (georreferenciación y geolocalización) para mejorar la recuperación de la documentación histórica gráfica. El profesional de la información 28:4 (2019) e280416.. doi: 10.3145/epi.2019.jul.16 PDF Icon
  • [2818] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. Definición, legislación y normativa para el tratamiento de los documentos históricos generados en la Administración Pública española y andaluza. Revista Española de Documentación Científica 42:4 (2019) e249.. doi: 10.3989/redc.2019.4.1653 PDF Icon
  • [2837] R. A. Carrasco, M. F. Blasco, J. García-Madariaga, E. Herrera-Viedma. A Fuzzy Linguistic RFM Model Applied to Campaign Management. International Journal of Interactive Multimedia and Artificial Intelligence 5:4 (2019) pp. 21-27.
  • [2973] E. Meza, B. Sicardy, ..., S. Alonso, et al.. Lower atmosphere and pressure evolution on Pluto from ground-based stellar occultations, 1988–2016. Astronomy and Astrophysics 629 (2019) A42. doi: 10.1051/0004-6361/201834281
  • [3088] D. García-Gil, F. Luque Sánchez, J. Luengo, S. García, F. Herrera. From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. International Journal of Intelligent Systems 34(12): 3260-3274 (2019). doi: 10.1002/int.22193
  • [3089] I. Cordón, J. Luengo, S. García, F. Herrera, F. Charte. Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing 360: 1-13 (2019). doi: 10.1016/j.neucom.2019.06.006
  • [3090] A. Gómez-Ríos, S. Tabik, J. Luengo, A.S.M. Shihavuddin, F. Herrera. Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.. Knowledge-Based Systems 184 (2019). doi: j.knosys.2019.104891


2018 (118)

  • [2019] K. Trawinski, M. Chica, D.P. Pancho, S. Damas, O. Cordón. moGrams: a network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization. IEEE Transactions on Cybernetics 48:2 (2018) 474-485. doi: 10.1109/TCYB.2016.2642886
  • [2030] K. Srikantha, L.K. Panwar, B.K. Panigrahi, E. Herrera-Viedma, A.K. Sangaiah, G.-G. Wang. Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem. Computer & Electrical Engineering Volume 70, August 2018, Pages 243-260.. doi: 10.1016/j.compeleceng.2017.07.023
  • [2402] J. Albadán-Romero, P. Gaona-García, G. Rolong-Agudelo, C. Montenegro-Marin, R. Gonzalez-Crespo, E. Herrera-Viedma. Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification. Informatica 29:1 (2018) 1-20. doi: 10.15388/Informatica.2018.155
  • [2129] Y. Dong, Y. Liu, H. Liang, F. Chiclana, E. Herrera-Viedma. Strategic weight manipulation in multiple attribute decision making. Omega: The International Journal of Management Science 75 (2018) 154–164. doi: 10.1016/j.omega.2017.02.008
  • [2136] O. Taylan , M.R. Kabli, C. Porcel, E. Herrera-Viedma. Using consensus tools and fuzzy linguistic modelling for constructor selection. Int. J. of Fuzzy Systems, 2018, Vol. 20, Issue 4, pp 1267–1281..
  • [2142] X. Tian, Z. Xu, J. Gu, E. Herrera-Viedma. How to select a promising enterprise for venture capitalists with prospect theory under intuitionistic fuzzy circumstance?. Applied Soft Computing, 67 (2018) 756-763.. doi: 10.1016/j.asoc.2017.04.027
  • [2148] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, E. Herrera-Viedma. Leveraging localized social media insights for early warning systems. International Journal of Information Technology and Decision Making (IJITDM) 17:1 (2018) 357-385. doi: 10.1142/S0219622017400016 BibTex Icon
  • [2434] R. Hernández-Linares, S. Sarkar, M.J. Cobo. Inspecting an Achilles heel: A quantitative analysis of fifty years of attempts to define family business. Scientometrics, 115:2 (2018) 929–951. doi: 10.1007/s11192-018-2702-1
  • [2210] C. Campomanes-Álvarez, O. Ibáñez, O. Cordón, C. Wilkinson. A Fuzzy Hierarchical Decision Support Framework for Craniofacial Superimposition. Information Fusion 39 (2018) 25–40. doi: 10.1016/j.inffus.2017.03.004
  • [2279] F.J. Baldán, S.Ramirez-Gallego, C.Bergmeir, F.Herrera, J.M.Benitez-Sanchez. A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Transactions on Cloud Computing 6:4 (2018) 929-941. doi: 10.1109/TCC.2016.2586064 BibTex Icon
    COMPLEMENTARY MATERIAL to the paper

  • [2299] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Applied Soft Computing. Volume 67, June 2018, Pages 941-952. doi: 10.1016/j.asoc.2017.05.039
  • [2300] F. Chiclana, F. Mata, L.G. Pérez, E. Herrera-Viedma. Type-1 OWA unbalanced fuzzy linguistic aggregation methodology. Application to eurobonds credit risk evaluation. Int. J. of Intelligent Syst. 33:5, 2018, 1071-1088..
  • [2408] J. Montero, M.J. Cobo, M. Gutiérrez-Salcedo, F. Segado and E. Herrera-Viedma. A Science Mapping Analysis of Communication WoS Subject Category (1980-2013). Comunicar, 55:16 (2018) 81-91. doi: 10.3916/C55-2018-08
  • [2309] M. Gonzalez, C. Bergmeir, I. Triguero, Y. Rodriguez, J.M. Benitez. Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowledge and Information Systems, 55 (2), 493-528. doi: 10.1007/s10115-017-1090-9 PDF Icon
  • [2314] N. Capuano, F. Chiclana, H. Fujita, E. Herrera-Viedma, V. Loia. Fuzzy group decision making with incomplete information guided by social influence. EEE Trans. On Fuzzy Systems 26(3) (2018) 1704-1718.. doi: 10.1109/TFUZZ.2017.2744605
  • [2315] B. Farhadinia, E. Herrera-Viedma. Entropy measures for extended hesitant fuzzy linguistic term sets using the concept of interval-transformed hesitant fuzzy elements. Int. J. of Fuzzy Systems, 2018. Volume 20, Issue 7, pp 2122–2134. Doi: 10.1007/s40815-017-0379-x.
  • [2319] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm and Evolutionary Computation 38 (2018) 240-250. doi: 10.1016/j.swevo.2017.08.005 BibTex Icon
  • [2320] J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust. Information Fusion, 41 (2018) 232-242. doi: 10.1016/j.inffus.2017.09.012
  • [2324] S. Vluymans, A. Fernandez, C. Cornelis, Y. Saeys, F. Herrera. Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Set Approach. Knowledge and Information Systems 56:1 (2018) 55–84. doi: 10.1007/s10115-017-1126-1 PDF Icon BibTex Icon
  • [2331] M. Gutiérrez-Salcedo, M.A. Martínez, J.A. Moral-Muñoz, E. Herrera-Viedma, M.J. Cobo. Some bibliometric procedures for analyzing and evaluating research fields. Applied Intelligence, 48:5 (2018) 1275–1287.. doi: 10.1007/s10489-017-1105-y
  • [2337] R.A. Carrasco-González, M.F. Blasco, J. García-Madariaga, A. Pedreño-Santos, E. Herrera-Viedma. A model to obtain a SERVPERF scale evaluation of the CRM customer complaints: An application to the 4G telecommunications sector. Technological and Economic Development of Economy, 2018 Vol. 24 Issue 4: 1606–1629.. doi: 10.3846/tede.2018.5080
  • [2338] S. Ramírez-Gallego, A. Fernández, S. García, M. Chen, F. Herrera. Big Data: Tutorial and Guidelines on Information and Process Fusion for Analytics Algorithms with MapReduce. Information Fusion 42 (2018) 51-61. doi: 10.1016/j.inffus.2017.10.001 PDF Icon BibTex Icon
  • [2339] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Assessing web sites quality: a systematic literature review by text and association rules mining. International Journal of Information Management 38:1 (2018) 201-216. doi: 10.1016/j.ijinfomgt.2017.06.007
    PDF

  • [2345] F. Padillo, J.M. Luna, F. Herrera, S. Ventura. Mining Association Rules on Big Data through MapReduce Genetic Programming. Integrated Computer-Aided Engineering.
  • [2364] D. Peralta, I. Triguero, S. García, Y. Saeys, J.M. Benítez, F. Herrera. On the use of convolutional neural networks for robust classiffication of multiple fingerprint captures. International Journal of Intelligent Systems 33:1 (2018) 213–230. doi: 10.1002/int.21948 PDF Icon
  • [2365] C.J. Carmona, M.J. del Jesus, F. Herrera. A Unifying Analysis for the Supervised Descriptive Rule Discovery via the Weighted Relative Accuracy. Knowledge-Based Systems (2017). doi: 10.1016/j.knosys.2017.10.015
  • [2372] R. Olmos, S. Tabik, F. Herrera. Automatic Handgun Detection Alarm in Videos Using Deep Learning. Neurocomputing 275, 66-72 (2018).. doi: 10.1016/j.neucom.2017.05.012
  • [2378] W. Wang, S. Laengle, J.M. Merigó, D. Yu, E. Herrera-Viedma, M.J. Cobo, B. Bouchon-Meunier. A bibliometric analysis of the first twenty-five years of the International Journal of Uncertainty, Fuzziness and Knowledge-based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 26, No. 2 (2018) 169–193. doi: 10.1142/S0218488518500095
  • [2383] J. Luengo, S.O. Shim, S. Alshomrani, A. Altalhi, F. Herrera. CNC-NOS: Class Noise Cleaning by Ensemble Filtering and Noise Scoring. Knowledge-Based Systems 140 (2018) 27-49. doi: 10.1016/j.knosys.2017.10.026
    OMPLEMENTARY MATERIAL to the paper: datasets, experimental results

  • [2385] M.J. del Moral, F. Chiclana, J.M. Tapia, E. Herrera-Viedma. A Comparative Study on Consensus Measures in Group Decision Making. Int. J. of Intelligent Systems, 33(8), 1624-1638, 2018.. doi: https://doi.org/10.1002/int.21954
  • [2386] H. Liao, Z. Xu, E. Herrera-Viedma, F. Herrera. Hesitant fuzzy linguistic term set and its application in decision making: A state-of-the-art survey. Int. J. of Fuzzy Systems, 2018, Volume 20, Issue 7, pp 2084–2110.. doi: 10.1007/s40815-017-0432-9
  • [2403] M. J. Del Moral, J. M. Tapia Garcia, F. Chiclana, A. Al-Hmouz, E. Herrera-Viedma. An analysis of consensus approaches based on different concepts of coincidence. J. of Intelligent and Fuzzy Systems, 34 (2018) 2247–2259. doi: 10.3233/jifs-171282
  • [2406] M. V. Ciasullo, G. Fenza, V. Loia, F. Orciuoli, O. Troisi, E. Herrera-Viedma. Business Process Outsourcing Enhanced by Fuzzy Linguistic Consensus Model. Applied Soft Computing, 2018, 64 (2018) 436–444. doi: 10.1016/j.asoc.2017.12.020
  • [2409] C. Koulamas, A.P. Kalogeras, R. Pacheco-Torres, J. Casillas, L. Ferrarini. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings. Energy and Buildings 158 (2018) 1662-1682. doi: 10.1016/j.enbuild.2017.12.002 PDF Icon
  • [2410] E. Ruiz, J. Casillas. Adaptive fuzzy partitions for evolving association rules in big data stream. International Journal of Approximate Reasoning 93 (2018) 463-486. doi: 10.1016/j.ijar.2017.11.014
  • [2411] M.P. Rodríguez Bolivar, L. Alcaide Muñoz, M.J. Cobo. Analyzing the scientific evolution and impact of e-participation research in JCR journals using science mapping. International Journal of Information Management, 40 (2018) 111-119, 2018. doi: 10.1016/j.ijinfomgt.2017.12.011
  • [2412] A. Kaklauskas, E. Herrera-Viedma, E. K. Zavadskas, I. Ubarte, V. Echenique, A. Kuzminske, A. Binkyte. Multiple criteria analysis of environmental sustainability and quality of life in post-Soviet states. Ecological Indicators, 89 (2018) 781-807.. doi: 10.1016/j.ecolind.2017.12.070
  • [2414] F.J. Cabrerizo, J.A. Morente-Molinera, W. Pedrycz, A. Taghavi, E. Herrera-Viedma. Granulating linguistic information in decision making under consensus and consistency. Expert Systems With Applications 99 (2018) 83-92. doi: 10.1016/j.eswa.2018.01.030
  • [2422] R. Alcalá, M.J. Gacto, J. Alcalá-Fdez. Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 8:2 (2018) 1-17. doi: 10.1002/widm.1239 BibTex Icon
  • [2425] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, H. Fujita, E. Herrera-Viedma. Quantifying the emotional impact of events on locations with Social Media. Knowledge-based Systems, 146, (2018), 44-57. doi: 10.1016/j.knosys.2018.01.029 BibTex Icon
  • [2427] A. Cid-López, Miguel J. Hornos, R. A. Carrasco-González, E. Herrera-Viedma. Prioritization of the launch of ict products and services through linguistic multi-criteria decision-making. Technological and Economic Development of Economy, 2018 Volume 24 Issue 3: 1231–1257. doi: 10.3846/tede.2018.1423
  • [2428] P. Lázaro-Rodríguez, J. López-Gijón, S. Alonso, M. J. Martínez-Sánchez, E. Herrera-Viedma. Secaba-Rank: una herramienta online para analizar y evaluar las bibliotecas. El profesional de la información, v. 27, n. 2, pp. 278-288. doi: doi.org/10.3145/epi.2018.mar.06
  • [2429] P. Lázaro-Rodríguez, J. López-Gijón, E. Herrera-Viedma. Visibilidad de las bibliotecas públicas y la lectura en medios de comunicación españoles frente a otros hechos de la cultura y relación con su uso: medidas para su mayor promoción y difusión.. BiD: textos universitaris de biblioteconomia i documentació, n. 40 (junio)..
  • [2430] P. Lázaro-Rodríguez, P. Vakkari. Modelizando el uso de las bibliotecas públicas a través de sus características: estudio comparativo entre España y Finlandia para los préstamos y las visitas. Revista Española de Documentación Científica, 41 (4): e216. doi: 10.3989/redc.2018.4.1544
  • [2431] A. Fernandez, S. Garcia, N.V. Chawla, F. Herrera. SMOTE for Learning from Imbalanced Data: Progress and Challenges. Marking the 15-year Anniversary. Journal of Artificial Intelligence Research 61 (2018) 863-905. doi: 10.1613/jair.1.11192 PDF Icon BibTex Icon
  • [2435] J.A. Moral-Muñoz, M. Arroyo-Morales, E. Herrera-Viedma, M.J. Cobo. An Overview of Thematic Evolution of Physical Therapy Research Area from 1951 to 2013. Frontiers in Research Metrics and Analytics, 3:13 (2018). doi: 10.3389/frma.2018.00013
  • [2436] J.A. Morente-Molinera, G. Kou, Y. Peng, C. Torres-Albero, E. Herrera-Viedma. Analysing discussions in social networks using group decision making methods and sentiment analysis. Information Sciences, 447 (2018) 157-168. doi: 10.1016/j.ins.2018.03.020
  • [2437] N. Capuano, F. Chiclana, E. Herrera-Viedma, H. Fujita, V. Loia. Fuzzy Rankings for Preferences Modeling in Group Decision Making. Int. Journal of Intelligent Systems, 33 (7) (2018) 1555-1570. doi: 10.1002/int.21997
  • [2438] D. Torres-Salinas, N. Robinson-García, E. Herrera-Viedma y E. Jiménez-Contreras. Consideraciones metodológicas sobre el uso del Impacto Normalizado en las convocatorias Severo Ochoa y María de Maetzu. El Profesional de la Información, v. 27, n. 2, pp. 367-374. doi: 10.3145/epi.2018.mar.15
  • [2440] V. Perez-Cabezas, C. Ruiz-Molinero, I. Carmona-Barrientos, E. Herrera-Viedma, M.J. Cobo, J.A. Moral-Muñoz. Highly cited papers in Rheumatology: Identification and conceptual analysis. Scientometrics 116:(2018) 555-568. doi: 10.1007/s11192-018-2712-z
  • [2443] D. Lucena-Antón, I. Rosety-Rodríguez, J.A. Moral-Muñoz. Effects of a Hippotherapy Intervention on Muscle Spasticity in Children with Cerebral Palsy: A Randomized Controlled Trial. Complementary Therapies in Clinical Practice 31 (2018) 188-192. doi: 10.1016/j.ctcp.2018.02.013
  • [2444] Y. Dong, S. Zhao, H. Zhang, F. Chiclana, E. Herrera-Viedma. A self-management mechanism for non-cooperative behaviors in large-scale group consensus reaching processes. IEEE Trans. On Fuzzy Systems, Volume: 26 , Issue: 6 , Dec. 2018, pp. 3276 – 3288. doi: 10.1109/TFUZZ.2018.2818078
  • [2445] A. González-Briones, J. Prieto, F. De La Prieta, E. Herrera-Viedma, J.M. Corchado. Energy Optimization Using a Case-Based Reasoning Strategy. Sensors 18:3 (2018) 865. doi: 10.3390/s18030865
  • [2446] Y. Xu, Q. Wang, F.J. Cabrerizo, E. Herrera-Viedma. Methods to improve the ordinal and multiplicative consistency for fuzzy reciprocal preference relations. Applied Soft Computing 67 (2018) 479-493. doi: 10.1016/j.asoc.2018.03.034
  • [2448] J.A. Morente-Molinera, G. Kou, I.J. Pérez, K. Samuylov, A. Selamat, E. Herrera-Viedma. A group decision making support system for the Web: how to work in environments with a high number of participants and alternatives. Applied Soft Computing, 68 (2018) 191-201. doi: 10.1016/j.asoc.2018.03.047
  • [2449] D.G. Cañizares, A. Fernandez, F. Herrera, A. Antunes, R. Molina-Ruiz, G. Agüero-Chapin. Surveying Alignment-free Features for Ortholog Detection in Related Yeast Proteomes by using Supervised Big Data Classifiers. BMC Bioinformatics 19:166 (2018) 1-17. doi: 10.1186/s12859-018-2148-8 PDF Icon BibTex Icon
  • [2460] C. Zhang, Xi. Wu, D. Wu, H. Liao, L. Luo, E. Herrera-Viedma. An intuitionistic multiplicative ORESTE method for patients’ prioritization of hospitalization. International Journal of Environmental Research and Public Health (ISSN 1660-4601). vol. 15, no. 4: 777, 2018. doi: 10.3390/ijerph15040777
  • [2461] A. Santisteban-Espejo, F. Campos, L. Martin-Piedra, D. Durand-Herrera, J.A. Moral-Muñoz, A. Campos, M.A. Martin-Piedra. Global tissue engineering trends: A scientometric and evolutive study. Tissue Ingineering 24:19-20 (2018) 1504-1517. doi: 10.1089/ten.TEA.2018.0007
  • [2462] D. Martín, M. Martínez-Ballesteros, D. García-Gil, J. Alcalá-Fdez, J.C. Riquelme-Santos, F. Herrera. MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems. Knowledge-Based Systems 153 (2018) 176-192. doi: 10.1016/j.knosys.2018.04.037 BibTex Icon
  • [2463] D. Molina, A. LaTorre, F. Herrera. An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cognitive Computation (2018) 10:4, 517-544. doi: 10.1007/s12559-018-9554-0 PDF Icon BibTex Icon
  • [2464] J. Redfern, M.J. Cobo, E. Herrera-Viedma. Editorial: Mapping microbiology with scientometrics - help provide a clearer vision of microbiology research around the globe. FEMS Microbiology Letters, 365:9, (2018), fny061. doi: 10.1093/femsle/fny061
  • [2469] J.A. Moral-Muñoz, M. Arroyo-Morales, B.F. Piper, A.I. Cuesta-Vargas, L. Díaz-Rodríguez, W.C.S. Cho, E. Herrera-Viedma, M.J. Cobo. Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms. Journal of Data and Information Science 3:2 (2018) 1-19. doi: 10.2478/jdis-2018-0006
  • [2466] I.J. Perez, F.J. Cabrerizo, S. Alonso, Y. C. Dong, F. Chiclana, E. Herrera-Viedma. On Dynamic Consensus Processes in Group Decision Making Problems. Information Sciences 459 (2018) 20-35. doi: 10.1016/j.ins.2018.05.017
  • [2467] M. Tang, H. Liao, Z. Wan, E. Herrera-Viedma, M. A. Rosen. Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview. Sustainability, vol. 10, no. 5: 1655, 2018. doi: 10.3390/su10051655
  • [2468] J.A. Moral-Muñoz, B. Esteban-Moreno, E. Herrera-Viedma, M.J. Cobo, I.J. Pérez. Smartphone applications to perform body balance assessment: A standardized review. Journal of Medical Systems 42:119 (2018) 1-8. doi: 10.1007/s10916-018-0970-1
  • [2471] Y. Dong, Q. Zha, H. Zhang, G. Kou, H. Fujita, F. Chiclana, E. Herrera-Viedma. Consensus Reaching in Social Network Group Decision Making: Research Paradigms and Challenges. Knowledge-Based Systems, Volume 162, 15 December 2018, Pages 3-13..
  • [2472] A. Yazidis, T.M Jonassen, E. Herrera-Viedma. An Aggregation Approach for Solving the Non-linear Fractional Equality Knapsack Problem. Expert Systems with Applications, Volume 110, 15 November 2018, Pages 323-334..
  • [2475] A. Salazar, H. de Sola, I. Failde, J.A. Moral-Muñoz. Measuring the quality of mobile applications for the management of pain: a standardised review using the mobile app rating scale (MARS). JMIR mHealth and uHealth 6:10 (2018) e10718. doi: 10.2196/10718
  • [2476] C. Porcel, A. Ching-Lopez, G. LeFranc, V. Loia, E. Herrera-Viedma. Sharing Notes: An academic social network based on a personalized fuzzy linguistic recommender system. Engineering Applications of Artificial Intelligence, Vol. 75, 1-10, 2018.. doi: 10.1016/j.engappai.2018.07.007
  • [2480] J.F. García-Henares, J.A. Moral-Muñoz, A. Salazar, E. del Pozo. Effects of ketamine on postoperative pain after remifentanil-based anesthesia for major and minor surgery in adults: A systematic review and meta-analysis. Frontiers in Pharmacology 9 (2018) 921. doi: 10.3389/fphar.2018.00921
  • [2481] E. R. Nuñez-Valdez, D. Quintana, R. González-Crespo, P. Isasi, E. Herrera-Viedma. A recommender system based on implicit feedback for selective dissemination of eBooks. Information Science. Vol. 467 (2018) 87-98. doi: 10.1016/j.ins.2018.07.068
  • [2486] I. Cordon, S. Garcia, A. Fernandez, F. Herrera. imbalance: Oversampling Algorithms for Imbalanced Classification in R. Knowledge-Based Systems 161 (2018) 329-341. doi: 10.1016/j.knosys.2018.07.035 BibTex Icon
  • [2489] Z. Rezaei, A. Selamat, A. Taki, M. S. M. Rahim, M. R. A. Kadir, M. Penhaker, O. Krejcar, K. Kuca, E. Herrera-Viedma, H. Fujita. Thin Cap Fibroatheroma Detection in Virtual Histology Images Using Geometric and Texture Features. Applied Sciences 8:9 (2018) 1632. doi: 10.3390/app8091632
  • [2491] S. Kublera, W. Derigenta, A. Voisina, J. Robert, Y. Traon, E. Herrera-Viedma. Measuring Inconsistency and Deriving Priorities from Fuzzy Pairwise Comparison Matrices using the Knowledge-based Consistency Index. Knowledge Based Systems, Knowledge-Based Systems 162 (2018) 147–160. doi: 10.1016/j.knosys.2018.09.015
  • [2497] J.A. Moral-Muñoz, D. Lucena-Antón, V. Pérez-Cabezas, I. Carmona-Barrientos, G. González-Medina, C. Ruiz-Molinero. Highly Cited Papers in Microbiology: Identification and Conceptual Analysis. FEMS Microbiology Letters 365:20 (2018) fny230. doi: 10.1093/femsle/fny230
  • [2505] J.M. Soto-Hidalgo, J.M. Alonso, G. Acampora, J. Alcalá-Fdez. JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016. IEEE Access 6 (2018) 54952-54964. doi: 10.1109/ACCESS.2018.2872777 BibTex Icon
  • [2504] M. Bustamante, A. Rienzo, R. Osorio, E. Lefranc, M. Duarte, E. Herrera-Viedma, G. Lefranc. Algorithm for processing Mammography: detection of microcalcifications. IEEE Latin America Transactions 16:9 (2018) 2460-2466. doi: 10.1109/TLA.2018.8789569
  • [2515] A. Cid-López, M. J. Hornos, R. A. Carrasco-González, E. Herrera-Viedma. Prioritization of the launch of ICT products and services through linguistic multi-criteria decision-making. Technological and Economic Development of Economy 24:3 (2018) 1231-1257. doi: 10.3846/tede.2018.1423
  • [2525] H. Baier-Fuentes, J. Cascón-Katchadourian, M.A. Sánchez, E. Herrera-Viedma, J.M. Merigó. A Bibliometric Overview of the International Journal of Interactive Multimedia and Artificial Intelligence. International Journal of Interactive Multimedia and Artificial Intelligence. 2018;5(3) pp.9-16. doi: 10.9781/ijimai.2018.12.003 PDF Icon
  • [2569] A. Valdivia, M.V. Luzón, E. Cambria, F. Herrera. Consensus vote models for detecting and filtering neutrality in sentiment analysis. Information Fusion 44 (2018) 126-135. doi: 10.1016/j.inffus.2018.03.007 BibTex Icon
  • [2570] Z-L. Zhang, X-G. Luo, S. González, S. García, F. Herrera. DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. Neurocomputing 285 (2018) 176-187. doi: 10.1016/j.neucom.2018.01.039
  • [2576] M.J. Basgall, W. Hasperué, M. Naiouf, A. Fernandez, F. Herrera. SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data. Journal of Computer Science & Technology 18:3 (2018) 203-209. BibTex Icon
  • [2580] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. Principal Components Analysis Random Discretization Ensemble for Big Data. Knowledge-Based Systems, 150, 2018, 166-174. doi: 10.1016/j.knosys.2018.03.012
  • [2584] D. Charte, F. Charte, S. García, F. Herrera. A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Progress in Artificial Intelligence, 2018, 1-14. doi: 10.1007/s13748-018-00167-7
  • [2585] S. Ramírez-Gallego, S. García, F. Herrera. Online entropy-based discretization for data streaming classification. Future Generation Computer Systems 86, 2018, 59-70. doi: 10.1016/j.future.2018.03.008
  • [2586] S. García, ZL. Zhang, A. Altalhi, S. Alshomrani, F. Herrera. Dynamic ensemble selection for multi-class imbalanced datasets. Information Sciences 445, 2018, 22-37. doi: 10.1016/j.ins.2018.03.002
  • [2589] B. Krawczyk, I. Triguero, S. García, M. Wozniak, F. Herrera. Instance reduction for one-class classification. Knowledge and Information Systems, 2018, 1-28. doi: 10.1007/s10115-018-1220-z
  • [2592] A. Rosales-Perez, S. García, H. Terashima-Marin, CAC. Coello, F. Herrera. MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Computational Intelligence Magazine 13 (2), 2018, 18-29. doi: 10.1109/MCI.2018.2806997
  • [2593] D. Charte, F. Charte, S. García, M. J. del Jesus, F. Herrera. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Information Fusion 44, 2019, 78–96. doi: 10.1016/j.inffus.2017.12.007 BibTex Icon
  • [2598] A. Sánchez-Fernández, F.J. Baldán, G. I. Sainz-Palmero, J. M. Benítez, M. J. Fuente. Fault detection based on time series modeling and multivariate statistical process control. Chemometrics and Intelligent Laboratory Systems 182 (2018) 57-69. doi: 10.1016/j.chemolab.2018.08.003 BibTex Icon
  • [2604] A. Valsecchi, S. Damas, O. Cordón. A robust and efficient method for skull-face overlay in computerized craniofacial superimposition. IEEE Transactions on Information Forensics and Security 13:8 (2018) 1960-1974. doi: 10.1109/TIFS.2018.2806939
  • [2605] E. Bermejo, M. Chica, S. Damas, S. Salcedo, O. Cordón. Coral reef optimization with substrate layers for medical image registration. Swarm and Evolutionary Computation 42 (2018) 138-159. doi: 10.1016/j.swevo.2018.03.003
  • [2621] C. Zuheros, C.-C. Li, F.J. Cabrerizo, Y. Dong, E. Herrera-Viedma, F. Herrera. Computing with words: Revisiting the qualitative scale. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26:Suppl. 2 (2018) 127-143. doi: 10.1142/S0218488518400147
  • [2625] 64. H. Zhang, Y. Dong, E. Herrera-Viedma. Consensus building for the heterogeneous large-scale GDM with the individual concerns and satisfactions. IEEE Trans. On Fuzzy Systems. 26:2 (2018) 884-898. doi: 10.1109/TFUZZ.2017.2697403
  • [2626] M. Victor, M. Mondragon, V. Garcia-Diaz, R. González-Crespo, C. Porcel, E. Herrera-Viedma. Adaptive contents for Interactive TV guided by machine learning based on predictive sentiment analysis of data. Soft Computing, 22:8 (2018) 1-22. doi: 10.1007/s00500-017-2530-x
  • [2627] S. Tabik, M. Peemen, L. F. Romero. A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study. The Journal of Supercomputing 74:4 (2018) 1580-1608. doi: 10.1007/s11227-017-2184-6
  • [2630] W. Ding, I. Triguero, CT. Lin. Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree. IEEE Transactions on Emerging Topics in Computational Intelligence. doi: 10.1109/TETCI.2018.2869919
  • [2643] C. Li, R. M. Rodríguez, F. Herrera, L. Martínez, Y. Dong. Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index. Information Sciences, 432 (2018) 347-361. doi: 10.1016/j.ins.2017.12.018
  • [2644] S. Vluymans, C. Cornelis, F. Herrera, Y. Saeys. Multi-Label Classification using a Fuzzy Rough Neighborhood Consensus. Information Sciences, vol. 433-434 (2018), 96-114.. doi: 10.1016/j.ins.2017.12.034
  • [2645] M. Chen, F. Herrera, K. Hwang. Cognitive Computing: Human-Centered Computing with Cognitive Intelligence on Clouds. IEEE Access, 6 (2018) 19774 – 19783. doi: 10.1109/ACCESS.2018.2791469
  • [2646] R. M. Rodríguez, Y. Xu, L. Martínez, F. Herrera. Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy.. Journal of multiple-valued logic and soft computing, 30:2-3 (2018) 129-154.
  • [2647] G. Acampora, F. Herrera, G. Tortora, A. Vitiello. A multi-objective evolutionary approach to training set selection for support vector machine. Knowledge-Based Systems, 147 (2018) 94-108.. doi: 10.1016/j.knosys.2018.02.022
  • [2648] I. Chaturvedi, E. Cambria, R. E. Welsch, F. Herrera. Distinguishing Between Facts and Opinions for Sentiment Analysis: Survey and Challenges. Information Fusion, 44 (2018) 65-77.. doi: 10.1016/j.inffus.2017.12.006
  • [2649] F. Charte, A. J Rivera, D. Charte, M. J. del Jesus, F Herrera. Tips, guidelines and tools for managing multi-label datasets: the MLDR. datasets R package and the Cometa data repository. Neurocomputing, 289 (2018) 68-85. doi: 10.1016/j.neucom.2018.02.011
  • [2650] X. Gou, Z. Xu, F. Herrera. Consensus Reaching Process for Large-scale Group Decision Making with Double Hierarchy Hesitant Fuzzy Linguistic Preference Relations. Knowledge-Based Systems, 157 (2018) 20-33. doi: 10.1016/j.knosys.2018.05.008
  • [2653] B. Krawczyk, M. Galar, M. Wozniak, H. Bustince, F. Herrera. Dynamic ensemble selection for multi-class classification with one class classifiers. Pattern Recognition, 83 (2018) 34-51.. doi: 10.1016/j.patcog.2018.05.015
  • [2654] A. Roldan, C. Roldán, F. Herrera.. On a new methodology for ranking fuzzy numbers and its application to real economic data. Fuzzy Sets and Systems, 353 (2018) 86-110. doi: 10.1016/j.fss.2018.04.003
  • [2655] H. Liao, X. Wu, X. Liang, J.-B. Yang, D.-L. Xu, F. Herrera. A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowledge-Based Systems, 153 (2018) 65-77. doi: 10.1016/j.knosys.2018.04.022
  • [2656] C. Li, R. M. Rodríguez, L. Martínez, Y. Dong, F. Herrera. Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions. Knowledge-Based Systems, 145 (2018), 156-165.. doi: 10.1016/j.knosys.2018.01.011
  • [2657] H. C. Liao, X. M. Mi, Z. S. Xu, J. P. Xu, F. Herrera. Intuitionistic fuzzy analytic network process. IEEE Transactions on Fuzzy Systems, 26:5 (2018), 2578-2590. doi: 10.1109/TFUZZ.2017.2788881
  • [2658] X. Wu, H. Liao, Z. Xu, A. Hafezalkotob, F. Herrera. Probabilistic Linguistic MULTIMOORA: A Multi-Criteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Transactions on Fuzzy Systems, 26:6 (2018), 3688-3702. doi: 10.1109/TFUZZ.2018.2843330
  • [2659] H Liao, XL Wu, XD Liang, J. P. Xu, F Herrera. A new hesitant fuzzy linguistic oreste method for hybrid multicriteria decision making. IEEE Transactions on Fuzzy Systems, 26:6 (2018), 3793-3807. doi: 10.1109/TFUZZ.2018.2849368
  • [2660] X. Gou, Z. Xu, H. Liao, F. Herrera. Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment. Computers & Industrial Engineering, 126 (2018) 516-530. doi: 10.1016/j.cie.2018.10.020
  • [2661] Z. Fu, X. Wu, H. Liao, F. Herrera. Underground mining method selection with the hesitant fuzzy linguistic gained and lost dominance score method. IEEE Access, 6 (2018), 66442-66458. doi: 10.1109/ACCESS.2018.2878784
  • [2779] J. Albadán-Romero, P. Gaona-García, G. Rolong-Agudelo, C. Montenegro-Marin. R. Gonzalez-Crespo, E. Herrera Viedma. Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification. Informatica, vol. 29, no. 1, pp. 1-20, 2018..
  • [2814] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, J. Alberich. Uses and applications of georeferencing and geolocation in old cartographic and photographic document management. El profesional de la información 27:1 (2018) 202-212. doi: 10.3145/epi.2018.ene.19 PDF Icon
  • [2815] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, J. Alberich. Revisión, análisis y evaluación de sistemas para la gestión de activos multimedia en organizaciones. Revista Española de Documentación Científica 41:1 (2018) e196. doi: 10.3989/redc.2018.1.1481 PDF Icon
  • [2816] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, A. Quesada-Román. Georreferenciación y publicación web de cartografía antigua en sistemas de información geográficos: requisitos para su evaluación y estudio de caso. Revista General de Información y Documentación 28:1 (2018) 193-212. doi: 10.5209/RGID.60810 PDF Icon


2017 (68)

  • [2105] F. J. Rodriguez , F. Glover, C. García-Martínez, R. Martí, M. Lozano. GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem. Computers & Operations Research 78 (2017) 243-254. doi: 10.1016/j.cor.2016.09.005
  • [1945] R. A. Carrasco, J. Sánchez-Fernández, F. Muñoz-Leiva, M. F. Blasco, E. Herrera-Viedma. Evaluation of the Hotels E-Services Quality Under the User's Experience. Soft Computing 21:4 (2017) 995-1011. doi: 10.1007/s00500-015-1832-0
  • [1970] F.J. Cabrerizo, J. López-Gijón, M.A. Martínez, J.A. Morente-Molinera, E. Herrera-Viedma. A fuzzy linguistic extended libqual+ model to assess service quality in academic libraries. International Journal of Information Technology & Decision Making 16:1 (2017) 225-244. doi: 10.1142/S0219622015500406 PDF Icon
  • [1994] F.J. Cabrerizo, R. Al-Hmouz, A. Morfeq, A.S. Balamash, M.A. Martínez, E. Herrera-Viedma. Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft Computing 21:11 (2017) 3037-3050. doi: 10.1007/s00500-015-1989-6 PDF Icon
  • [2307] J. Alcalá-Fdez, R. Alcalá, S. González, Y. Nojima, S. García. Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Transactions on Fuzzy Systems 25:6 (2017) 1376-1390. doi: 10.1109/TFUZZ.2017.2718491 BibTex Icon
  • [2086] A. Fernandez, S. Río, F. Herrera. Fuzzy Rule Based Classification Systems for Big Data with MapReduce: Granularity Analysis. Advances in Data Analysis and Classification 11 (2017) 711-730. doi: 10.1007/s11634-016-0260-z PDF Icon BibTex Icon
  • [2089] J. Maillo, S. Ramírez-Gallego, I. Triguero, F. Herrera. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowledge-Based Systems 117 (2017) 3-15. doi: 10.1016/j.knosys.2016.06.012
  • [2091] J.A. Morente-Molinera, J. Mezei, C. Carlsson, E. Herrera-Viedma. Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy. IEEE Transactions on Fuzzy Systems 25:5 (2017) 1078-1089. doi: 10.1109/TFUZZ.2016.2594275
  • [2096] S. Ramírez-Gallego, I. Lastra, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, F. Herrera, A. Alonso-Betanzos. Fast-mRMR: Fast minimum Redundancy Maximum Relevance algorithm for high dimensional big data. International Journal of Intelligent Systems 32:2 (2017) 134-152. doi: 10.1002/int.21833 PDF Icon
  • [2100] Li, C-C., Y. Dong, F. Herrera, E. Herrera-Viedma, and L. Martínez. Personalized individual semantics in Computing with Words for supporting linguistic Group Decision Making. An Application on Consensus reaching. Information Fusion 33:1 (2017) 29-40.
  • [2110] W. Liu, Y. Dong, F. Chiclana, F.J. Cabrerizo, E. Herrera-Viedma. Group decision-making based on heterogeneous preference relations with self-confidence. Fuzzy Optimization and Decision Making 16:4 (2017) 429-447. doi: 10.1007/s10700-016-9254-8
  • [2111] M. Lozano, C. García-Martínez, F. J. Rodriguez, H. Trujillo. Optimizing Network Attacks by Artificial Bee Colony. Information Sciences 377 (2017) 30-50. doi: 10.1016/j.ins.2016.10.014 PDF Icon
  • [2113] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. NMC: Nearest Matrix Classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Information Fusion 36 (2017) 26–51. doi: 10.1016/j.inffus.2016.11.004 PDF Icon BibTex Icon
  • [2117] J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A visual interaction consensus model for social network group decision making with trust propagation. Knowledge Based-Systems 122 (2017) 39-50. doi: 10.1016/j.knosys.2017.01.031
  • [2118] M.A. Martínez, F.L. Rodríguez, M.J. Cobo, E. Herrera-Viedma. ¿Qué está pasando en el Área de Trabajo Social, según el Web of Science?. Cuadernos de Trabajo Social 30-1 (2017) 125-134. doi: 10.5209/CUTS.51495
  • [2119] J. Castro, R. Yera, L. Martínez. An empirical study of natural noise management in group recommendation systems. Decision Support Systems 94 (2017) 1–11. doi: 10.1016/j.dss.2016.09.020 PDF Icon BibTex Icon
  • [2135] A. Fernandez, S. Río, N.V. Chawla, F. Herrera. An insight into imbalanced Big Data classification: outcomes and challenges. Complex & Intelligent Systems 3:2 (2017) 105–120. doi: 10.1007/s40747-017-0037-9 PDF Icon BibTex Icon
  • [2133] S. García, S. Ramírez-Gallego, J. Luengo, F. Herrera. Big Data: Preprocesamiento y calidad de datos. Novática (Revista de la Asociación de Técnicos de Informática), Monografía Big Data, 237 (2017) 17-23.. PDF Icon
    Enlace a la revista completa

  • [2137] O. Taylan, M.A. Zytoon, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance in food industries. J. of Intelligent and Fuzzy Systems, 33 (2017) 1209–1224.
  • [2143] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. International Journal of Neural Systems 27 (2017) 1750028-1:1750028-21. doi: 10.1142/S0129065717500289 PDF Icon BibTex Icon
  • [2145] Y. Xu, F.J. Cabrerizo, E. Herrera-Viedma. A consensus model for hesitant fuzzy preference relations and its application in water allocation management. Applied Soft Computing 58 (2017) 265-284. doi: 10.1016/j.asoc.2017.04.068 PDF Icon
  • [2146] T. Sabbah, A. Selamat, F.S. Al-Anzi, E. Herrera-Viedma, O. Krejcar. Modified frequency-based term weighting schemes for text classificationent. Applied Soft Computing, Vol. 58, 2017, Pages 193-206..
  • [2147] L. Alcaide Muñoz, M.P. Rodríguez Bolivar, M.J. Cobo, E. Herrera-Viedma. Analysing the scientific evolution of e-government using a science mapping approach. Government Information Quarterly 34:3 (2017) 545-555. doi: 10.1016/j.giq.2017.05.002 PDF Icon
  • [2149] M. De la Flor-Martínez, P. Galindo-Moreno, E. Sánchez-Fernández, E. Adabal, M.J. Cobo, E. Herrera-Viedma. Evaluation of scientific output in Dentistry in Spanish universities. Medicina Oral Patología Oral y Cirugía Bucal, 22:4 (2017), e491-9. doi: doi:10.4317/medoral.21656 PDF Icon
  • [2150] Z-L. Zhang, X-G. Luo, S. García, F. Herrera. Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. Applied Soft Computing 56 (2017) 357-367. doi: 10.1016/j.asoc.2017.03.016 BibTex Icon
  • [2151] D. Peralta, I. Triguero, S. García, Y. Saeys, J.M. Benítez, F. Herrera. Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowledge-Based Systems 126 (2017) 91-103. doi: 10.1016/j.knosys.2017.03.014 BibTex Icon
  • [2153] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, F. Herrera. A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239 (2017) 39-57. doi: 10.1016/j.neucom.2017.01.078
  • [2154] D. Peralta, S. García, J.M. Benítez, F. Herrera. Minutiae-Based Fingerprint Matching Decomposition: Methodology for Big Data Frameworks. Information Sciences 408 (2017) 198-212. doi: 10.1016/j.ins.2017.05.001
  • [2155] J.R. Cano, N.R. Aljohani, R.A. Abbasi, J.S. Alowidbi, S. García. Prototype selection to improve monotonic nearest neighbor. Engineering Applications of Artificial Intelligence 60 (2017) 128-135. doi: 10.1016/j.engappai.2017.02.006
  • [2156] S. González, S. García, M. Lázaro, A.. Figueiras-Vidal, F. Herrera. Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognition 70 (2017) 12-24. doi: 10.1016/j.patcog.2017.04.028
  • [2157] M.A. Jarwar, R.A. Abbasi, M. Mushtaq, O. Maqbool, N.R. Aljohani, A. Daud, J.S. Alowibdi, J.R. Cano, S. García, I. Chong. CommuniMents: A Framework for Detecting Community Based Sentiments for Events. International Journal on Semantic Web and Information Systems (IJSWIS) 13:2 (2017) 87-108. doi: 10.4018/IJSWIS.2017040106
  • [2158] Z-L. Zhang, X-G. Luo, S. García, J-F. Tang, F. Herrera. Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. Knowledge-Based Systems 125 (2017) 53-63. doi: 10.1016/j.knosys.2017.03.026
  • [2159] A. Rosales-Perez, S. García, J.A. Gonzalez, C.A.C. Coello, F. Herrera. An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles. IEEE Transactions on Evolutionary Computation (Volume: 21, Issue: 6, Dec. 2017) 863-877. doi: 10.1109/TEVC.2017.2688863 BibTex Icon
  • [2160] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. A comparison on scalability for batch big data processing on Apache Spark and Apache Flink. Big Data Analytics 2:1 (2017) 1. doi: 10.1186/s41044-016-0020-2
  • [2170] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, J.M. Benítez, F. Herrera. Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems 47:10 (2017) 2727-2739. doi: 10.1109/TSMC.2017.2700889
  • [2180] J. García, H.M. Fardoun, D.M. Alghazzawi, J.R. Cano, S. García. MoNGEL: monotonic nested generalized exemplar learning. Pattern Analysis and Applications 20:2 (2017) 441–452. doi: 10.1007/s10044-015-0506-y
  • [2190] S. Tabik, D. Peralta, A. Herrera-Poyatos, F. Herrera. A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. International Journal of Computational Intelligence Systems 10 (2017) 555-568. PDF Icon
  • [2196] J. Purswani, R. Romero Zaliz, A. Matin Platero, I. Guisado Requena, J. Gonzalez Lopez, C. Pozo. BSocial: Deciphering Social Behaviours within Mixed Microbial Populations. Frontiers in Microbiology 8:919 (2017). doi: 10.3389/fmicb.2017.00919 PDF Icon
  • [2197] J.F. Reinoso Gordo, M.J. Ibañez, R. Romero Zaliz. Parallelizing drainage network algorithm using free software: Octave as a solution. Mathematics and Computers in Simulation, Volumen 137, pp. 424-430, 2017. doi: 10.1016/j.matcom.2016.09.004
  • [2203] M. Chica, J. Barranquero, T. Kajdanowicz, S. Damas, O. Cordón. Multimodal optimization: an effective framework for model calibration. Information Sciences 375:1 (2017) 79-97. doi: 10.1016/j.ins.2016.09.048
  • [2204] I. Moya, M. Chica, J.L. Sáez-Lozano, O. Cordón. An agent-based model for understanding the influence of the 11-M terrorist attacks on the 2004 Spanish elections. Knowledge-based Systems 123 (2017) 200-216. doi: 10.1016/j.knosys.2017.02.015
  • [2205] M. Chica, W. Rand. Agent-based decision support systems for managing word-of-mouth programs. Application to freemium business model. Journal of Marketing Research 54:5 (2017) 752-767. doi: 10.1509/jmr.15.0443
  • [2213] C. Campomanes-Álvarez, B.R. Campomanes-Álvarez, O. Ibáñez, O. Cordón, S. Guadarrama. An experimental study on fuzzy distances for skull-face overlay in craniofacial superimposition. Fuzzy Sets and Systems 318 (2017) 100–119. doi: 10.1016/j.fss.2016.06.015 PDF Icon
  • [2248] O. Gómez, O. Ibáñez, O. Cordón. Improved image registration in skull–face overlay using expert knowledge. Journal: Progress in Artificial Intelligence 6:4 (2017) 285–298. doi: 10.1007/s13748-017-0124-6 BibTex Icon
  • [2274] C. del Val, Bondar AN. Charged groups at binding interfaces of the PsbO subunit of photosystem II: A combined bioinformatics and simulation study. Journal: Biochimica et Biophysica Acta (BBA) - Bioenergetics. 2017 Jun;1858(6):432-441. doi: 10.1016/j.bbabio.2017.03.004
  • [2312] G.P. Figueredo, I. Triguero, M. Mesgaspour, A.M. Guerra, J.M. Garibaldi, R. I. John. Detecting danger in roads: an immune-inspired technique to identify heavy goods vehicles incident hot spots. IEEE Transactions on Emerging Topics in Computational Intelligence, 1 (4) (2017), 248-258. doi: 10.1109/TETCI.2017.2721960
  • [2316] J.A. Morente-Molinera, G. Kou, R. González-Crespo, J.M. Corchado, E. Herrera-Viedma. Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowledge-Based Systems 137 (2017) 54-64.
  • [2317] A. Yazidi, E. Herrera-Viedma. A new methodology for identifying unreliable sensors in data fusion. Knowledge-Based Systems, 136 ( 2017) 85-96.
  • [2318] E. Herrera-Viedma, F.J. Cabrerizo, F. Chiclana, J. Wu, M.J. Cobo, K. Samuylov. Consensus in Group Decision Making and Social Networks. Studies in Informatics and Control 26:3 (2017) 259-268. doi: 10.24846/v26i3y201701 PDF Icon
  • [2323] A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?. International Journal of Computational Intelligence Systems 10 (2017) 1211-1225. doi: 10.2991/ijcis.10.1.80 PDF Icon BibTex Icon
  • [2322] I. Triguero, S. González, J.M. Moyano, S. García, J. Alcalá-Fdez, J. Luengo, A. Fernández, M.J. del Jesús, L. Sánchez and F. Herrera. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. International Journal of Computational Intelligence Systems 10 (2017) 1238-1249. BibTex Icon
  • [2334] C. Porcel, A. Ching-Lopez, J. Bernabé-Moreno, A. Tejeda-Lorente, E. Herrera-Viedma. Fuzzy linguistic recommender systems for the selective diffusion of information in digital libraries. Journal of Information Processing Systems, 13:4, (2017), 653-667. doi: 10.3745/JIPS.04.0035 BibTex Icon
  • [2346] S Aldana, P García-Fernández, Alberto Rodríguez-Fernández, R. Romero-Zaliz, MB González, F Jiménez-Molinos, F Campabadal, F Gómez-Campos, JB Roldán. A 3D kinetic Monte Carlo simulation study of resistive switching processes in Ni/HfO2/Si-n+-based RRAMs. Journal of Physics D: Applied Physics 50:33 (2017) 335103. doi: 10.1088/1361-6463/aa7939
  • [2355] C. García-Martínez, P.D. Gutiérrez, D. Molina, M. Lozano, F. Herrera. Since CEC 2005 competition on realparameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Computing, 21:19 (2017) 5573-5583. doi: 10.1007/s00500-016-2471-9 PDF Icon BibTex Icon
  • [2356] A. Alonso-Betanzos, J.A. Gámez, F. Herrera, J.M. Puerta, J.C. Riquelme. Volume, variety and velocity in Data Science. Knowledge-Based Systems 117 (2017) 1-2. doi: 10.1016/j.knosys.2016.11.005
  • [2357] J.A. Gámez, F. Herrera, J.M. Puerta. Guest Editorial: Recent Trends in Intelligent Systems. International Journal of Intelligent Systems 32 (2) (2017) 107-108. doi: 10.1002/int.21831
  • [2358] X. Gou, H. Liao, Z. Xu, F. Herrera. Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion 38 (2017) 22-34. doi: 10.1016/j.inffus.2017.02.008
  • [2359] H. Liao, L. Jiang, Z. Xu, J. Xu, F. Herrera. A linear programming method for multiple criteria decision making with probabilistic linguistic information. Information Sciences 415 (2017) 341-355. doi: 10.1016/j.ins.2017.06.035
  • [2360] Y. Dong, Z. Ding, L. Martínez, F. Herrera. Managing consensus based on leadership in opinion dynamics. Information Sciences 398 (2017) 187–205. doi: 10.1016/j.ins.2017.02.052
  • [2366] A. Valdivia, M.V. Luzón, F. Herrera. Sentiment Analysis in TripAdvisor. IEEE Intelligent Systems 32:4 (2017) 72-77. doi: 10.1109/MIS.2017.3121555
  • [2368] J. R. Cano, S. García. Training Set Selection for Monotonic Ordinal Classification. Data & Knowledge Engineering 112 (2017) 94-105. doi: 10.1016/j.datak.2017.10.003 BibTex Icon
  • [2369] F. J. Estrella, S. Cevik Onar, R.M. Rodríguez, B. Oztaysi, L. Martínez, C. Kahraman. Selecting firms in University technoparks: A hesitant linguistic fuzzy TOPSIS model for heterogeneous contexts. Journal of Intelligent and Fuzzy Systems 33:2 (2017) 1155-1172. doi: 10.3233/JIFS-16727
  • [2370] Y. Zulueta, R.M. Rodríguez, R. Bello, L. Martinez. A Hesitant Heterogeneous Approach for Environmental Impact Significance Assessment. Journal of Environmental Informatics 29:2 (2017) 74-87. doi: 10.3808/jei.201700363
  • [2375] de Erausquin G, Molina J, Balda M, Kamis D, Calvó M, Padilla E, Guerrero G, Bourdieu M, Molina Rangeon M, Gonzalez Aleman G, Strejilevich S, Florenzano N, Conesa H, Escobar J, Zwir I, and Cloninger CR. Parkinsonian motor impairment predicts personality domains related to genetic risk and treatment outcomes. Journal: NPJ Schizophr. 2017; 3: 16036. doi: 10.1038/npjschz.2016.36 BibTex Icon
  • [2377] E. Bermejo, C. Campomanes-Alvarez, A. Valsecchi, O. Ibáñez, S. Damas, O. Cordón. Genetic algorithms for skull-face overlay including mandible articulation. Information Sciences 420 (2017) 200-217. doi: 10.1016/j.ins.2017.08.029
  • [2400] P. Morales, J. Luengo, L.P.F. Garcia, A.C. Lorena, A.C.P.L.F. de Carvalho and F. Herrera. The NoiseFiltersR Package: Label Noise Preprocessing in R. The R Journal 9:1 (2017) 219-228. PDF Icon
  • [2418] D. Bérard, B. Sicardy, J. I. B. Camargo, J. Desmars, F. Braga-Ribas, J.-L. Ortiz, R. Duffard, N. Morales, E. Meza, R. Leiva, G. Benedetti-Rossi, R. Vieira-Martins, A.-R. Gomes Júnior, M. Assafin, F. Colas, J.-L. Dauvergne, P. Kervella, J. Lecacheux, L. Maquet, F. Vachier, S. Renner, B. Monard, A. A. Sickafoose, H. Breytenbach, A. Genade, W. Beisker, K.-L. Bath, H.-J. Bode, M. Backes, V. D. Ivanov, E. Jehin, M. Gillon, J. Manfroid, J. Pollock, G. Tancredi, S. Roland, R. Salvo, L. Vanzi, D. Herald, D. Gault, S. Kerr, H. Pavlov, K. M. Hill, J. Bradshaw, M. A. Barry, A. Cool, B. Lade, A. Cole, J. Broughton, J. Newman, R. Horvat, D. Maybour, D. Giles, L. Davis, R. A. Paton, B. Loader, A. Pennell, P.-D. Jaquiery, S. Brillant, F. Selman, C. Dumas, C. Herrera, G. Carraro, L. Monaco, A. Maury, A. Peyrot, J.-P. Teng-Chuen-Yu, A. Richichi, P. Irawati, C. De Witt, P. Schoenau, R. Prager, C. Colazo, R. Melia, J. Spagnotto, A. Blain, S. Alonso, A. Román, P. Santos-Sanz, J.-L. Rizos, J.-L. Maestre, D. Dunham. The Structure of Chariklo’s Rings from Stellar Occultations. The Astronomical Journal 154(4):144. doi: 10.3847/1538-3881/aa830d PDF Icon
  • [2426] M. Victor, M. Mondragon, V. Garcia-Diaz, R. González-Crespo, C. Porcel, E. Herrera-Viedma. Adaptive contents for Interactive TV guided by machine learning based on predictive sentiment analysis of data. Soft Computing, 1-22. doi: https://doi.org/10.1007/s00500-017-2530-x


2016 (75)


2015 (88)


2014 (73)


2013 (57)

  • [1304] J G Moreno-Torres, X. Llorà, D. E. Goldberg, R. Bhargava. Repairing Fractures between Data using Genetic Programming-based Feature Extraction: A Case Study in Cancer Diagnosis. Information Sciences 222 (2013) 805-823. PDF Icon
  • [1447] P. Shelokar, A. Quirin, O. Cordón. MOSubdue: A Pareto Dominance-based Multiobjective Subdue Algorithm for Frequent Subgraph Mining. Knowledge and Information Systems 34:1 (2013) 75-108. doi: 10.1007/s10115-011-0452-y PDF Icon
  • [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

  • [1507] J. Santamaría, S. Damas, O. Cordón, A. Escámez. Self-adaptive evolution: towards new parameter free image registration methods. IEEE Transactions on Evolutionary Computation 17:3 (2013) 545-557. PDF Icon
  • [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
  • [1544] S. Alonso, I.J. Pérez, F.J. Cabrerizo, E. Herrera-Viedma. A Linguistic Consensus Model for Web 2.0 Communities. Applied Soft Computing 13:1 (2013) 149-157. doi: 10.1016/j.asoc.2012.08.009 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
  • [1558] F. Chiclana, J.M. Tapia Garcia, M.J. Del Moral, E. Herrera-Viedma. A Statistical Comparative Study of Different Similarity Measures of Consensus in Group Decision Making. Information Sciences 221 (2013) 110–123.
  • [1561] R. García, J.M. Benítez, G.I. Sainz-Palmero. FRASel: A Consensus of feature ranking methods for time series modelling. Soft Computing, Volume 17, Issue 8, pp 1489-1510.
  • [1562] G. Hurtado, S. Schockaert, C. Cornelis, H. Naessens. Using Semi-Structured Data for Assessing Research Paper Similarity. Information Sciences 221:1 (2013) 245-261. doi: /10.1016/j.ins.2012.09.044 PDF Icon
  • [1563] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing. Journal of Business Research 66:9 (2013) 1332-1337. doi: 10.1016/j.jbusres.2012.02.033 PDF Icon
  • [1564] A.D. Benítez, J. Casillas. Multi-Objective Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. Soft Computing 17:1 (2012) 165-194. doi: 10.1007/s00500-012-0909-2 PDF Icon
  • [1566] N. Bova, O. Ibáñez, O. Cordón. Image segmentation using Extended Topological Active Nets optimized by Scatter Search. IEEE Computational Intelligence Magazine 8:1 (2013) 16-32. PDF Icon
  • [1567] E. Bermejo, O. Cordón, S. Damas, J. Santamaría. Quality time-of-flight range imaging for feature-based registration using bacterial foraging. Applied Soft Computing 13:6 (2013) 3178–3189. PDF 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
  • [1574] L. Sanchez, I. Couso, A. Palacios, J. Palacios. A methodology for exploiting the tolerance for imprecision in genetic fuzzy system and its application to characterization of rotor blade learning edge materials. Mechanical System and Signal Processing 37:1-2 (2013) 76-91. doi: 10.1016/j.ymssp.2012.02.009 PDF Icon
  • [1578] I.J. Pérez, R. Wikström, J. Mezei, C. Carlsson, E. Herrera-Viedma. A New Consensus Model for Group Decision Making Using Fuzzy Ontology. Soft Computing 17:9 (2013) 1617-1627. . doi: 10.1007/s00500-012-0975-5
  • [1579] C. Cobos, O. Rodriguez, J. Rivera, J. Betancourt, M. Mendoza, E. León, E. Herrera-Viedma. A hybrid system of pedagogical pattern recommendations based on singular value decomposition and variable data attributes. Information Processing & Management, 49 (2013) 607-625. doi: 10.1016/j.ipm.2012.12.002
  • [1580] F. Palacín-Marín, B. Esteban-Moreno, N. Olea, E. Herrera-Viedma, M. Arroyo-Morales. Agreement between telerehabilitation and face-to-face clinical outcome measurements for low back pain in primary care. Spine, 38:11 (2013) 947-952. doi: 10.1097/BRS.0b013e318281a36c
  • [1584] R.A. Carrasco, F. Muñoz-Leiva, M. Hornos. A Multidimensional Data Model using the Fuzzy Model based on the Semantic Translation. Information Systems Frontiers 15:3 (2013) 351–370. doi: 10.1007/s10796-012-9398-1
  • [1585] J.M. Moreno-Rodríguez, F.J. Cabrerizo, I.J. Pérez, M.A. Martínez. A consensus support model based on linguistic information for the initial-self assessment of the EFQM in health care organizations. Expert Systems With Applications 40:8 (2013) 2792-2798. doi: 10.1016/j.eswa.2012.11.011
  • [1586] F. J. Rodriguez, M. Lozano, C. García-Martínez, J. D. González-Barrera. An Artificial Bee Colony Algorithm for the Maximally Diverse Grouping Problem. Information Sciences, 230 (2013) 183-196. doi: 10.1016/j.ins.2012.12.020
  • [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
  • [1620] D.M. Svrakic, C.F. Zorumski, N.M. Svrakic, I. Zwir, C.R. Cloninger. Risk architecture of schizophrenia: the role of epigenetics. Current Opinion in Psychiatry 26:2 (2013) 188-195. doi: 10.1097/YCO.0b013e32835d8329 PDF Icon
  • [1624] F. J. Rodriguez, M. Lozano, C. Blum, C. García-Martínez. An Iterated Greedy Algorithm for the Large-Scale Unrelated Parallel Machines Scheduling Problem. Computers & Operations Research 40:7 (2013) 1829-1841. doi: 10.1016/j.cor.2013.01.018
  • [1625] P. Shelokar, A. Quirin, O. Cordón. A Multiobjective Evolutionary Programming Framework for Graph-based Data Mining. Information Sciences 273:1 (2013) 118–136. doi: 10.1016/j.ins.2013.02.014 PDF Icon
  • [1627] Santos-Lozano A, Santín-Medeiros F, Cardon G, Torres-Luque G, Bailón R, C. Bergmeir, Ruiz JR, Lucia A, Garatachea N.. The Actigraph GT3X Accelerometer: validation and determination of physical intensity cut points across age-groups.. Int J Sports Med 2013; 34: 975--982.
  • [1629] K. Trawinski, O. Cordón, L. Sánchez, A. Quirin. A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers. IEEE Transactions on Fuzzy Systems 21:5 (2013) 950-965.
  • [1630] D.P. Pancho, J.M. Alonso, O. Cordón, A. Quirin, L. Magdalena. FINGRAMS: Visual Representations of Fuzzy Rule-Based Inference for Expert Analysis of Comprehensibility. IEEE Transactions on Fuzzy Systems 21:6 (2013) 1133-1149. PDF 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
  • [1636] E. Herrera-Viedma, J. López-Gijón. Libraries' Social Role in the Information Age. Science 339:6126 (2013) 1382. doi: 10.1126/science.339.6126.1382-a
  • [1639] R. Heradio, F.J. Cabrerizo, D. Fernandez-Amoros, M. Herrera, E. Herrera-Viedma. A Fuzzy Linguistic Model to Evaluate the Quality of Library 2.0 Functionalities. International Journal of Information Management 33:4 (2013) 642-654. doi: 10.1016/j.ijinfomgt.2013.04.001
  • [1640] F.J. Cabrerizo, E. Herrera-Viedma, W. Pedrycz. A Method based on PSO and Granular Computing of Linguistic Information to Solve Group Decision Making Problems defined in Heterogeneous Contexts. European Journal of Operational Research 230:3 (2013) 624-633. doi: 10.1016/j.ejor.2013.04.046 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
  • [1644] P. Cingolani, J. Alcalá-Fdez. jFuzzyLogic: a Java library to design fuzzy logic controllers according to the standard for fuzzy control programming. International Journal of Computational Intelligence Systems 6:1 (2013) 61-75. doi: 10.1080/18756891.2013.818190 BibTex Icon
  • [1647] M. Chica, O. Cordón, S. Damas, J. Bautista. A robustness information and visualization model for time and space assembly line balancing under uncertain demand . International Journal of Production Economics 145 (2013), 761-772 . PDF Icon
  • [1654] P. Victor, N. Verbiest, C. Cornelis, M. De Cock. Enhancing the Trust-Based Recommendation Process with Explicit Distrust. ACM Transactions on the Web 7(2) (2013). doi: 10.1145/2460383.2460385 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

  • [1666] B.R. Campomanes-Álvarez, O. Cordón, S. Damas. Evolutionary multi-objective optimization for mesh simplification of 3D open models. Integrated Computer-Aided Engineering 20:4 (2013) 375-390. PDF Icon
  • [1668] J. Rada-Vilela, M. Chica, O. Cordón, S. Damas. A comparative study of multi-objective ant colony optimization algorithms for the time and space assembly line balancing problem. Applied Soft Computing 13:11 (2013), 4370-4382. PDF Icon
  • [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
  • [1685] N. Bova, O. Ibáñez, O. Cordón. Extended Topological Active Nets. Image and Vision Computing 31(12) (2013) 905-920.
  • [1686] K. Trawinski, O. Cordón, L. Sánchez, A. Quirin. Multiobjective Genetic Classifier Selection For Random Oracles Fuzzy Rule-Based Classifier Ensembles: How Beneficial Is The Additional Diversity?. Knowledge-based Systems 54 (2013) 3-21.
  • [1691] M. Lozano, A. Duarte, F. Gortázar, R. Martí. A hybrid metaheuristic for the cyclic antibandwidth problem. Knowledge-Based Systems 54 (2013) 103-113. doi: 10.1016/j.knosys.2013.08.026
  • [1692] J. Arnedo, C. del Val, G.A. de Erausquin, R. Romero Zaliz, D. Svrakic, C.R. Cloninger, I. Zwir. PGMRA: a web server for (phenotype × genotype) many-to-many relation analysis in GWAS. Nucleic Acids Research 41:W1 (2013) W142-W149. doi: 10.1093/nar/gkt496
  • [1717] C. del Val, J. Royuela-Flor, S. Milenkovic, AN. Bondar. Channelrhodopsins: A bioinformatics perspective. Biochim Biophys Acta (2013) pii: S0005-2728(13)00190-4. doi: 10.1016/j.bbabio.2013.11.005
  • [1780] A. Valsecchi, S. Damas, J. Santamaría. Evolutionary intensity-based medical image registration: a review. Current Medical Imaging Reviews 9:4 (2013), 283-297. PDF Icon
  • [1839] F.J. Martínez-López, J. Casillas. , Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management 42:4 (2013) 489-495. doi: 10.1016/j.indmarman.2013.03.001 PDF Icon
  • [1840] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application. Industrial Marketing Management 42:4 (2013) 532-543. doi: 10.1016/j.indmarman.2013.03.005 PDF Icon
  • [2230] R. Montes, M. Gea, J. Haywood. Reconocimiento del aprendizaje abierto en las universidades tradicionales. Journal for Educators, Teachers and Trainers, 4:2 (2013), 82–94. PDF Icon
  • [2231] M. Abad, N. Medina, S. Moral, R. Montes, S. Torres, F. Matesanz. Increasing power by using haplotype similarity in a multimarker transmission/disequilibrium test. Journal of Bioinformatics and Computational Biology 2:2 (2013) 1250014-1--1250014-22. PDF Icon


2012 (76)

  • [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
  • [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
  • [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
  • [1396] J. Santamaría, O. Cordón, S. Damas, R. Martí, R. Palma. GRASP and Path Relinking Hybridizations for the Point Matching-based Image Registration Problem. Journal of Heuristics 18:1 (2012) 169-192. doi: 10.1007/s10732-011-9166-2 PDF Icon
  • [1398] A. Palacios, M.J. Gacto, J. Alcalá-Fdez. Mining Fuzzy Association Rules from Low Quality Data. Soft Computing 16:5 (2012) 883-901. doi: 10.1007/s00500-011-0775-3
  • [1399] F. Muñoz-Leiva, M.I. Viedma-del-Jesus, J. Sánchez-Fernández, A.G. López-Herrera. An Application of Co-Word Analysis and Bibliometric Maps for Detecting the Most Highlighting Themes in the Consumer Behaviour Based Research from a Longitudinal Perspective. Quality & Quantity 46:4, pp. 1077-1095 (2012). doi: 10.1007/s11135-011-9565-3 PDF Icon
  • [1405] M. Chica, O. Cordón, S. Damas, J. Bautista. Multiobjective memetic algorithms for time and space assembly line balancing. Engineering Applications of Artificial Intelligence 25:2 (2012) 254–273.
  • [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
  • [1419] F. Chávez, F. Fernández, M.J. Gacto, R. Alcalá. Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. International Journal of Computational Intelligence Systems 5:2 (2012) 368-386. doi: 10.1080/18756891.2012.685327
  • [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
  • [1426] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. An advanced scatter search design for skull-face overlay in craniofacial superimposition. Experts Systems with Applications 39:1 (2012) 1459-1473. doi: 10.1016/j.eswa.2011.08.034 PDF Icon
  • [1427] O. Ibáñez, O. Cordón, S. Damas. A cooperative coevolutionary approach dealing with the skull-face overlay uncertainty. Soft Computing 16:5 (2012) 797-808. doi: 10.1007/s00500-011-0770-8 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
  • [1438] C. Bergmeir, J.M. Benítez. Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. Journal of Statistical Software 46(7) (2012) 1-26.
  • [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
  • [1443] A. Alvarez-Alvarez, G. Trivino, O. Cordón. Human Gait Modeling Using a Genetic Fuzzy Finite State Machine. IEEE Transactions on Fuzzy Systems 20:2 (2012) 205-223. doi: 10.1109/TFUZZ.2011.2171973 PDF Icon
  • [1446] K. Trawinski, O. Cordón, A. Quirin. A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers. International Journal of Computational Intelligence Systems 5:2 (2012) 231-253. PDF Icon
  • [1462] C. García-Martínez, M. Lozano, F. J. Rodriguez. A simulated annealing method based on a specialised evolutionary algorithm. Applied Soft Computing 12:2 (2012) 573-588. doi: 10.1016/j.asoc.2011.11.007
  • [1463] F. J. Rodriguez, C. García-Martínez, M. Lozano. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test. IEEE Transactions on Evolutionary Computation 16:6 (2012) 787-800. doi: 10.1109/TEVC.2012.2182773
  • [1464] C. Bergmeir, M. García-Silvente, J.M. Benítez. Segmentation of Cervical Cell Nuclei in High-resolution Microscopic Images: A new Algorithm and a Web-based Software Framework. Computer Methods and Programs in Biomedicine 107(3) (2012) 497-512.
  • [1466] C. Porcel, A. Tejeda-Lorente, M.A. Martínez, E. Herrera-Viedma. A hybrid recommender system for the selective dissemination of research resources in a technology transfer office. Information Sciences 184:1 (2012) 1-19. doi: 10.1016/j.ins.2011.08.026 PDF Icon BibTex Icon
  • [1472] C. Bergmeir, J.M. Benítez. On the Use of Cross-validation for Time Series Predictor Evaluation. Information Sciences 191 (2012) 192-213.
  • [1473] C. del Val, R. Romero Zaliz,O. Torres-Quesada, A. Peregrina, N. Toro, J.I. Jimenez-Zurdo. A survey of sRNA families in α-proteobacteria. RNA Biology 9:2 (2012) 119-129. doi: 10.4161/rna.18643 PDF Icon
  • [1481] R.A. Carrasco, P. Villar. A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources. Soft Computing 16:1 (2012) 135-151. PDF Icon
  • [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
  • [1495] D. Gómez-Lorente, I. Triguero, C. Gil, A. Espín Estrella. Evolutionary Algorithms for the Design of Grid-connected PV-systems. Expert Systems with Applications 39:9 (2012) 8086-8094. doi: 10.1016/j.eswa.2012.01.159 PDF Icon
  • [1506] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez. Financial Time Series Forecasting with a Bio-inspired Fuzzy Model. Expert Systems with Applications 39:16 (2012) 12302–12309. doi: 10.1016/j.eswa.2012.02.135
  • [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
  • [1513] M.R. Ureña, P. Martinez-Cañada,J.M. Gómez-López F. Pelayo, C. Morillas. Real Time tone-mapping on GPU and FPGA. Eurasip Journal on Image and Video Processing 2012, 2012:1. doi: 10.1186/1687-5281-2012-1 PDF Icon
  • [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

  • [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
  • [1520] R. Heradio, D. Fernández-Amorós, F.J. Cabrerizo, E. Herrera-Viedma. A review of quality evaluation of digital libraries based on users' perceptions. Journal of Information Science 38:3 (2012) 269-283. doi: 10.1177/0165551512438359
  • [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
  • [1524] J.M. Tapia García, M.J. Del Moral, M.A. Martínez, E. Herrera-Viedma. A consensus model for group decision making problems with linguistic interval fuzzy preference relations. Expert Systems with Applications 39:11 (2012) 10022-10030. PDF Icon
  • [1525] C. Carmona, J. Luengo, P. González, M.J. Del Jesus. An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Systems wit Applications 39 (2012) 11404–11412. doi: 10.1016/j.eswa.2012.04.029 PDF Icon
  • [1526] R.A. Carrasco, P. Villar, M. Hornos, E. Herrera-Viedma. A Linguistic Multi-Criteria Decision Making Model Applied to Hotel Service Quality Evaluation from Web Data Sources . International Journal of Intelligent Systems 27:7 (2012) 704-731. doi: 10.1002/int.21546
  • [1527] F. Muñoz-Leiva, J. Sánchez-Fernández, F.J, Liebana-Cabanillas, A.G. López-Herrera. Applying an Automatic Approach for Showing up the Hidden Themes in Financial Marketing Research (1961–2010). Expert Systems with Applications 39 (2012), pp. 11055-11065. doi: 10.1016/j.eswa.2012.03.017 PDF Icon
  • [1528] F. J. Rodriguez, C. Blum, C.García-Martínez, M. Lozano. GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times. Annals of Operations Research 201:1 (2012) 383-401. doi: 10.1007/s10479-012-1164-8
  • [1529] A.G. López-Herrera, E. Herrera-Viedma, M.J. Cobo, M.A. Martínez, G. Kou, Y. Shi. A Conceptual Snapshot of the First decade Years (2002-2011) of the International Journal of Information Technology & Decision Making. International Journal of Information Technology & Decision Making 11:2 (2012) 247-270. doi: 10.1142/S0219622012400020 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
  • [1533] C. García-Martínez, F. J. Rodriguez, M. Lozano. Arbitrary Function Optimisation with Metaheuristics. No Free Lunch and Real-world Problems. Soft Computing 16 (2012) 2115–2133. doi: /10.1007/s00500-012-0881-x PDF Icon
  • [1534] N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma. Trust and distrust aggregation enhanced with path length incorporation. Fuzzy Sets and Systems , 202:1 (2012) 61–74. doi: 10.1016/j.fss.2012.02.007 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

  • [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
  • [1550] C. Bergmeir, I. Triguero, D. Molina, J.L. Aznarte M., J.M. Benítez. Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-switching Models. IEEE Transactions on Neural Networks and Learning Systems (2012), volume 23, issue 11, pages 1841-1847. doi: 10.1109/TNNLS.2012.2216898 PDF Icon
  • [1553] J.M. Tapia García, M.J. Del Moral, M.A. Martínez, E. Herrera-Viedma. A Consensus Model For Group Decision-Making Problems With Interval Fuzzy Preference Relations. International Journal of Information Technology & Decision Making 11:4 (2012) 709-725. doi: 10.1142/S0219622012500174 PDF Icon
  • [1565] J. Santamaría, S. Damas, J.M. García-Torres, O. Cordón. Self-adaptive evolutionary image registration using differential evolution and artificial immune systems. Pattern Recognition Letters 33:16 (2012) 2065-2070. PDF Icon
  • [1568] C. del Val, S. White, A. N. Bondar. Ser/Thr motifs in transmembrane proteins:Conservation patterns and effects on local protein structure and dynamics. Journal of Membrane Biology, 245 (2012) 717-730. doi: 10.1007/s00232-012-9452-4 PDF Icon
  • [1569] M. Nack, I. Radu, B. J. Schultz, T. Resler, R. Schlesinger, A. N. Bondar, C. del Val, S. Abbruzzetti, C. Viappiani, C. Bamann, E. Bamberg, J. Heberle. Kinetics of proton release and uptake by channelrhodopsin-2. FEBS Letters 586 (2012) 1344–1348. doi: 10.1016/j.febslet.2012.03.047 PDF Icon
  • [1572] A. Palacios, L. Sanchez, I. Couso. Combining Adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced datasets. International Journal of Uncertainty Fuzzines and Knowledge-based Systems 20:2 (2012) 51-71. doi: 10.1142/S0218488512400156 PDF Icon
  • [1573] A. Palacios, L. Sanchez, I. Couso. Combining adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced datasets. International Journal of Uncertainty Fuzzines and Knowledge-based Systems 20:2 (2012) 51-71. PDF Icon
  • [1575] A. Palacios, J. Palacios, L. Sanchez. Eliciting a human understandable model of ice adhesion strength for rotor blade leading materials from uncertain experimental data. Expert Systems with Applications 39:11 (2012) 10212-10225.
  • [1576] A. Palacios, L. Sanchez, I. Couso. Boosting of fuzzy rules with low quality data. Journal of Multiple-Valued Logic and Soft Computing 19:5 (2012) 591-619. PDF Icon
  • [1577] A. Palacios, L. Sanchez, I. Couso. Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers. Internal Journal of Computational Intelligence Systems 5:2 (2012) 276-296. PDF Icon
  • [1582] M. Lozano, A Duarte, F. Gortázar, R. Martí. Variable neighborhood search with ejection chains for the antibandwidth problem. Journal of Heuristics 18 (2012) 919–938. doi: 10.1007/s10732-012-9213-7 PDF Icon
  • [1583] R.A. Carrasco, F. Muñoz-Leiva, J. Sánchez-Fernández, F. J. Liébana-Cabanillas. A model for the integration of e-financial services questionnaires with SERVQUAL scales under fuzzy linguistic modeling. Expert Systems with Applications 39:14 (2012) 11535-11547. doi: 10.1016/j.eswa.2012.03.055 PDF Icon
  • [1616] B. Van Gasse, G. Deschrijver, C. Cornelis, E. E. Kerre. The Standard Completeness of Interval-Valued Monoidal t-Norm Based Logic. Information Sciences 189:1 (2012) 63-76. doi: 10.1016/j.ins.2011.11.043 PDF Icon
  • [1621] G. E. Townsend, V. Raghavan , I. Zwir, E. A. Groisman. Intramolecular arrangement of sensor and regulator overcomes relaxed specificity in hybrid two-component systems. Proceedings of the National Academy of Sciences of the United States of America 110:2 (2012) E161–E169. doi: 10.1073/pnas.1212102110 PDF Icon
  • [1622] I. Zwir, T. Latifi, J. C. Perez , H. Huang , E. A. Groisman. The promoter architectural landscape of the Salmonella PhoP regulon. Molecular Microbiology 84:3 (2012) 463-485. doi: 10.1111/j.1365-2958.2012.08036.x PDF Icon
  • [1623] W. S. Yeo, I. Zwir, H. V. Huang , D. Shin, A. Kato, E. A. Groisman. Intrinsic negative feedback governs activation surge in two-component regulatory systems. Molecular Cell 45:3 (2012) 409-421. doi: 10.1016/j.molcel.2011.12.027 PDF Icon
  • [1710] C.J. Carmona, S. Ramírez-Gallego, F. Torres, E. Bernal, M.J. del Jesus, S. García. Web usage mining to improve the design of an e-commerce website: OrOliveSur.com . Expert Systems with Applications 39 (2012) 11243-11249. doi: 10.1016/j.eswa.2012.03.046
  • [1754] S. Toledo-Redondo, A. Salinas Extremera, J.A. Morente-Molinera, A. Méndez-Montoro de Damas, J. F. Fornieles-Callejón, J. Portí-Durán, J. A. Morente-Chiquero. Parallel 3D-TLM algorithm for simulation of the Earth-ionosphere cavity. Journal of computational physics 236 (2012) 267-379.
  • [2245] M. Abad, N. Medina, R. Montes, F. Matesanz, V. Vineet. Sample Reproducibility of Genetic Association Using Different Multimarker TDTs in Genome-Wide Association Studies: Characterization and a New Approach. Journal PLoS ONE 7:2 (2012) e29613. doi: doi.org/10.1371/journal.pone.0029613 PDF Icon


2011 (46)


2010 (54)


2009 (51)


2008 (31)


2007 (32)

  • [0621] R. Navajas, C. Rubio-Escudero, J.L. Aznarte M., M. Ruiz, M. A. Garrido. SatDNA Analyzer: a computing tool for satellite-DNA evolutionary Analysis. Bioinformatics 23:6 (2007) 767-768. doi: 10.1093/bioinformatics/btm005 PDF Icon
  • [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
  • [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
  • [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
  • [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
  • [0757] C. del Val, E. Rivas,Omar Torres-Quesada, Nicolás Toro and José I. Jiménez-Zurdo. Identification of differentially expressed small non-coding RNAs in the legume endosymbiont Sinorhizobium meliloti by comparative genomics. Molecular Microbiology 66:5 (2007) 1080–1091. doi: 10.1111/j.1365-2958.2007.05978.x PDF 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
  • [0545] E. Herrera-Viedma, E. Peis, J.M. Morales-del-Castillo, S. Alonso, E.K. Anaya. A Fuzzy Linguistic Model to Evaluate the Quality of Web Sitesthat Store XML Documents. International Journal of Approximate Reasoning 46 (2007) 226-253. doi: 10.1016/j.ijar.2006.12.010 PDF Icon BibTex 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
  • [0563] R. Romero Zaliz. Extracción de conocimiento en repositorios biológicos estructurados. Actas del BIOMAT'05. Academia Nacional de Letras de Córdoba (Argentina). PDF Icon
  • [0564] M. Mucientes, J. Casillas. Quick design of fuzzy controllers with good interpretability in mobile robotics. IEEE Transactions on Fuzzy Systems 15:4 (2007) 636-651. doi: 10.1109/TFUZZ.2006.889889 PDF Icon
  • [0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and CompactFuzzy Rule Based Systems Based on the 2-Tuples LinguisticRepresentation. International Journal of Approximate Reasoning 44:1 (2007) 45-64. doi: 10.1016/j.ijar.2006.02.007
  • [0579] J. Santamaría, O. Cordón, S. Damas, I. Alemán, M. Botella. A Scatter Search-based technique for pair-wise 3D range image registration in forensic anthropology. Soft Computing, 11:9 (2007) 819-828. doi: 10.1007/s00500-006-0132-0 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
  • [0603] E. Herrera-Viedma, A.G. López-Herrera, M. Luque, C. Porcel. A Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 15:2 (2007) 225-250. doi: 10.1142/S0218488507004534 PDF Icon
  • [0604] E. Herrera-Viedma, A.G. López-Herrera. A Model of Information Retrieval System with Unbalanced Fuzzy Linguistic Information. International Journal Of Intelligent Systems 22:11 (2007) 1197-1214. doi: 10.1002/int.20244 PDF Icon
  • [0624] O. Cordón, E.K. Anaya, A. González, S. Pinzón. Promoting the Use of ICT for Education in a Traditional University: The Case of the Virtual Learning Center of the University of Granada. Journal of Cases on Information Technology 9:1 (2007) 90-107. 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
  • [0663] J. Casillas, B. Carse, L. Bull. Fuzzy-XCS: a Michigan genetic fuzzy system. IEEE Transactions on Fuzzy Systems 15:4 (2007) 536-550. doi: 10.1109/TFUZZ.2007.900904 PDF Icon
  • [0670] C. del Val, P. Ernst , M. Falkenhahn, C. Fladerer, K.H. Glatting, S. Suhai, A. Hotz-Wagenblatt. ProtSweep, 2Dsweep and DomainSweep: protein analysis suite at DKFZ. Nucleic Acids Research (2007) 35(Web Server issue):W444-W450;. doi: 10.1093/nar/gkm364 PDF Icon
  • [0680] I. Zwir, O. Harari, E.A. Groisman. Gene promoter scan methodology for identifying and classifying coregulated promoters. Methods in Enzymology, 422 (2007) 361-85. doi: 10.1016/S0076-6879(06)22018-4 PDF Icon
  • [0746] E. Peis, E. Herrera-Viedma, J.M. Morales-del-Castillo. Aproximación a la Web Semántica desde la Perspectiva de la Documentación. Investigación Bibliotecológica 21:43 (2007) 47-71 (ISSN: 0187-358X). PDF Icon
  • [0753] J. Acosta, A. Nebot, P. Villar, J.M. Fuertes. Optimization of Fuzzy Partitions for Inductive Reasoning using Genetic Algorithms. International Journal of Systems Science 38:12 (2007) 991-1011. doi: 10.1080/00207720701657581 PDF Icon
  • [0767] J. Acosta, A. Nebot, P. Villar, J.M. Fuertes. Learning fuzzy partitions in FIR methodology. International Journal of General Systems 36:6 (2007) 703-731. doi: 10.1080/03081070701458548 PDF Icon
  • [0825] J. Casillas, F.J. Martínez-López. Knowledge Discovery by Genetic Fuzzy Systems Applied to Consumer Behavior Modelling. Romanian Marketing Review 3 (2007) 111-142. PDF Icon
  • [0823] J.L. Aznarte, D. Nieto Lugilde, J.M. Benítez, F. Alba Sánchez, C. de Linares Fernández. Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models. Expert Systems with Applications 32 (2007) 1218-1225. doi: 10.1016/j.eswa.2006.02.011 PDF Icon
  • [0822] J.L. Aznarte, J.M. Benítez, J.L. Castro. Smooth Transition Autoregressive Models and Fuzzy Rule-based Systems: Functional Equivalence and Consequences. Fuzzy Sets and Systems 158 (2007) 2734-2745. doi: 10.1016/j.fss.2007.03.021 PDF Icon
  • [0952] F. Araque, R.A. Carrasco, A. Salguero, L. Martínez, M.A. Vila. Fuzzy extended dependencies to support decision-making in project management. Journal of Multiple-Valued Logic and Soft Computing 14 (2008) 435-455. PDF Icon


2006 (16)

  • [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
  • [0345] O. Cordón, E. Herrera-Viedma, M. Luque. Improving the Learning of Boolean Queries by means of a Multiobjective IQBE Evolutionary Algorithm. Information Processing and Management 42:3 (2006) 615-632. doi: 10.1016/j.ipm.2005.02.006 PDF Icon
  • [0430] O. Cordón, S. Damas, J. Santamaría. Feature-based image registration by means of the CHC evolutionary algorithm. Image and Vision Computing 24:5 (2006) 525-533. doi: 10.1016/j.imavis.2006.02.002 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
  • [0505] A. Mehrle, H. Rosenfelder, I. Schupp, C. del Val, D. Arlt, F. Hahne, S. Bechtel, J. Simpson, O. Hofman, W. Hide , K.-H. Glatting, W. Huber, R. Pepperkok, A. Poustka, S. Wiemann. The LIFEdb database in 2006. Nucleic Acid Research Database Issue 34 (2006) D415-D418. doi: 10.1093/nar/gkj139 PDF Icon
  • [0506] O. Cordón, S. Damas. Image Registration with Iterated Local Search. Journal of Heuristics 12:1-2 (2006) 73-94. doi: 10.1007/s10732-006-4983-4 PDF Icon
  • [0507] O. Cordón, S. Damas, J. Santamaría. A Fast and Accurate Approach for 3D Image Registration using the Scatter Search Evolutionary Algorithm. Pattern Recognition Letters, Special Issue on Evolutionary Computer Vision and Image Understanding 27:11 (2006) 1191-1200. doi: 10.1016/j.patrec.2005.07.017 PDF Icon
  • [0544] E. Herrera-Viedma, G. Pasi, A.G. López-Herrera, C. Porcel. Evaluating the Information Quality of Web Sites: A Methodology Based on Fuzzy Computing with Words. Journal of American Society for Information Science and Technology 57:4 (2006) 538-549. doi: 10.1002/asi.20308 PDF Icon
  • [0582] A. Vinayagam, C. del Val, R. König, K.-H. Glatting, R. Eils. GOPET: a tool for automatic Gene Ontology term prediction. BMC BIoinformatics 7 (2006) 161-167. doi: 10.1186/1471-2105-7-161 PDF Icon
  • [0600] C. del Val, V.Y. Kuryshev, K.H. Glatting, P. Ernst, A. Hotz-Wagenblatt, A. Poustka, S. Suhai, S. Wiemann. CAFTAN: a tool for fast mapping, and quality assessment of cDNAs. BMC Bioinformatics 7 (2006) 473-487. doi: 10.1186/1471-2105-7-473 PDF Icon
  • [0601] F.A. Giordano, B. Fehse, A. Hotz-Wagenblatt, S. Jonnakuty, C. del Val, J.U. Appelt, K.Z. Nagy, K. Kuehlcke, S. Naundorf, A.R. Zander, W.J. Zeller, A.D. Ho, S. Fruehauf, S. Laufs. Retroviral vector insertions in T-lymphocytes used for suicide gene therapy occur in gene groups with specific molecular functions. Bone Marrow Transplantation 38:3 (2006) 229-235. doi: 10.1038/sj.bmt.1705424 PDF Icon
  • [0602] S. Laufs, G. Guenechea, A. Gonzalez-Murillo, K.Z. Nagy, M.L. Lozano, C. del Val, S. Jonnakuty, A. Hotz-Wagenblatt, W.J. Zeller, J.A. Bueren et al. Lentiviral vector integration sites in human NOD/SCID repopulating cells. Journal of Gene Medicine 8(10) (2006) 1197-1207. doi: 10.1002/jgm.958 PDF Icon
  • [0646] E. Herrera-Viedma, S. Alonso, J. López-Gijón, B. Ávila, J. Vilchez Pardo. Un modelo de Evaluación de la Calidad de las Bibliotecas Universitarias Digitales Basado en Técnicas Difusas. Encontros Bibli. Revista Electrônica de Bibliotecomia e Ciência da Informaçao [ISSN 1518-2924], (Special Number 2nd Semester 2006), 35-48. PDF Icon
  • [0982] A. Pérez-López, J. López-Gijón, A. Moros Ramirez. Formulación de Indicadores para la sociedad de la Información como sociedad de Riesgo. Revista de la Facultad de Ciencias Jurídicas y Sociales de la Universidad Nacional del Litoral (Argentina) 4, 65-80 (2006).
  • [0983] J. López-Gijón, A. Pérez-López, C. Gálvez, C. García Caro. La biblioteca universitaria como apoyo al aprendizaje en el Espacio Europeo de Enseñanza Superior. Encontros Bibli. (Revista Eletrônica Biblioteconomia e Ciência da Informaçao). [ISSN 1518-2924], (Special Number 2nd Semester 2006), 63-81. PDF Icon


2005 (17)

  • [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
  • [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
  • [0359] V. Cotik, R. Romero Zaliz, I. Zwir. A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes. Fuzzy Sets & Systems 152 (2005) 83-102. doi: 10.1016/j.fss.2004.10.016 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
  • [0457] I. Zwir, D. Shin, A. Kato, K. Nishino, T. Latifi, F. Solomon, J. M. Hare, H. Huang, E. A. Groisman. Dissecting the PhoP regulatory network of Escherichia coli and Salmonella enterica. PNAS, Biological Sciences: Genetics 102:8 (2005) 2862-2867. PDF Icon
  • [0469] E. Herrera-Viedma, A.G. López-Herrera, C. Porcel. Tuning the Matching Function for a Threshold Weighting Semantics in a Linguistic Information Retrieval System. International Journal of Intelligent Systems 20:9 (2005) 921-937. 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
  • [0487] I. Zwir, H. Huang, E.A. Groisman. Analysis of differentially-regulated genes within a regulatory network by GPS genome navigation. Bioinformatics 21 (2005) 4073-4083. doi: 10.1093/bioinformatics/bti672 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
  • [0536] E. Herrera-Viedma, L. Martínez, F. Mata, F. Chiclana. A Consensus Support System Model for Group Decision-making Problems with Multi-granular Linguistic Preference Relations. IEEE Transactions on Fuzzy Systems 13:5 (2005) 644-658. doi: 10.1109/TFUZZ.2005.856561 PDF Icon
  • [0575] P.J. Sánchez, L. Gonzaga, F. Mata, A.G. López-Herrera. A Multi-Granular Linguistic Model to Evaluate the Suitability of Installing an ERP System. Mathware & Soft Computing XII:2-3 (2005) 217-233. PDF Icon
  • [0626] D. Hose , J.F. Rossi, C. Ittrich , J. De Vos , T. Reme, A. Benner, K.N. Mahtouk, C. del Val, J. Moreaux, A. Hotz-Wagenblatt. Molecular classification of multiple myeloma (MM) based on gene expression profiling (GEP) and fluorescence in situ hybridisation (FISH) is an independent predictor for event free survival (EFS). Blood 2005, 106(11):151A-152A..
  • [0659] E. Delgado, E. Jiménez, R. Ruíz, A.G. López-Herrera, M.J. Gacto, D. Torres, M. Moneda, R. Ruiz-Baños, J.M. Pérez, R. Bailón, E. Poyatos, M.J. Rodríguez. INRECS: Índice de Impacto de las Revistas Españolas de Ciencias Sociales. Biblio 3W, Revista Bibliográfica de Geografía y Ciencias Sociales Vol. X, Number 574 (2005).
  • [1119] E. Peis, J.M. Morales-del-Castillo. Aproximación a las Tecnologías Básicas de la Web Semántica: Web Semántica y Documentación. Hipertext.net 3, online version (2005).


2004 (21)

  • [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
  • [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
  • [0480] C. del Val, A. Mehrle, M. Falkenhahn, M. Séller, KH Glatting, A. Poustka, S. Suhai, S. Wiemann. High-troughput protein analysis integrating bioinformatics and experimental assays. Nucleic Acid Research 32:2 (2004) 742-748. doi: 10.1093/nar/gkh257 PDF Icon
  • [0454] J. Casillas, F.J. Martínez-López, F.J. Martínez. Fuzzy association rules for estimating consumer behaviour models and their application to explaining trust in Internet shopping. Fuzzy Economic Review IX:2 (2004) 3-26.
  • [0628] F.W. Cremer, J. De Vos, D. Hose, J.F. Rossi, C. Ittrich, T. Reme, A. Benner, E. Jourdan, M.S. Raab, J. Bila, C. del Val. Multiple myeloma: Global expression profiling (GEP) indicates upregulation of the ribosomal machinery in hyperdiploid clones. Blood 2004, 104(11):398A-398A.
  • [0701] E. Herrera-Viedma, C. Porcel, L. Hidalgo. Sistemas de Recomendaciones: Herramientas para el Filtrado de Información. Hipertext.net, 2 (ISSN 1695-5498), 2004. PDF Icon
  • [0951] J. Galindo, A. Urrutia, R.A. Carrasco, M. Piattini. Relaxing Constraints in Enhanced Entity-Relationship Models Using Fuzzy Quantifiers. IEEE Transactions on Fuzzy Systems 12:6 (2004) 780-796. doi: 10.1109/TFUZZ.2004.836088 PDF Icon
  • [0959] J.F. Fernández-Sánchez, A. Segura, J.M. Benitez, C. Cruces-Blanco, A. Fdez-Gutiérrez. Fluorescence optosensor using an artificial neural network for screening of polycyclic aromatic hydrocarbons. Analytica Chimica Acta 510 (2004) 183–187. doi: 10.1016/j.aca.2004.01.012 PDF Icon
  • [0984] J. López-Gijón, J. Vilchez Pardo. La titulación de Biblioteconomía y Documentación y las bibliotecas andaluzas: que veinte años no son nada. Boletín de la Asociación Andaluza de Bibliotecarios, 75-76 (2004), 193-226.
  • [1218] V. Herrero-Solana, J.M. Morales-del-Castillo. Mapas "Geopolíticos" De Internet: Aplicación De Las Nuevas Tecnologías De Representación De La Información. Ciência Da Informaçao, 33:3 (2004) 69-75. PDF Icon
  • [1027] C. García-Martínez, L. Martínez, B. Montes, P.J. Sánchez. An Automatic System for Evaluating Educational Skills. IADAT Journal of Advanced Technology on Education 1(1) (2004) 52-54.
  • [1120] E. Peis, A.A. Ruíz-Rodríguez. EAD (Encoded Archival Description): Desarrollo, estructura, uso y aplicaciones. Hipertext.net 2, online version (2004).
  • [1121] E. Peis, D. Gómez-Domínguez, A.A. Ruíz-Rodríguez. EAD. Aplicaciones prácticas. Legajos. Cuadernos de investigación histórica 7 (2004) 7-18.
  • [1122] D. Gómez-Domínguez, A.A. Ruíz-Rodríguez, E. Peis. Estudio de la producción científica en materia de gestión electrónica de documentos (1992-2004). Legajos. Cuadernos de investigación histórica 7 (2004) 61-76.
  • [1185] A.A. Ruíz-Rodríguez, D. Gómez Domínguez. Diseño y desarrollo de una plataforma digital de apoyo a la docencia y a la investigación en Archivos Electrónicos: un portal temático . Information Research: an international electronic journal (link) 9:4 (2004).
  • [1219] V. Herrero-Solana, J.M. Morales-del-Castillo. Análisis Geopolítico De Los Mapas De Conocimiento. Arbor 179 (2004) 159-171. PDF Icon


2003 (16)


2002 (17)

  • [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
  • [0022] L. Sánchez, J. Casillas, O. Cordón, M.J. Del Jesus. Some Relationships Between Fuzzy and Random Set-Based Classifiers and models. International Journal of Approximate Reasoning 29:2 (2002) 175-213. doi: 10.1016/S0888-613X(01)00063-9 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
  • [0028] I. Zwir, R. Romero Zaliz, E. Ruspini. Automated Biological Sequence Description by Genetic Multiobjective Generalized Clustering. Annals of the New York Academy of Sciences 980 (2002) 65-82. PDF Icon
  • [0030] O. Cordón, F. Moya, C. Zarco. A New Evolutionary Algorithm Combining Simulated Annealing and Genetic Programming for Relevance Feedback in Fuzzy Information Retrieval Systems. Soft Computing 6:5 (2002) 308-319. doi: 10.1007/s00500-002-0184-8 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
  • [0108] F. Chiclana. Aplicación de un Modelo de Decisión para Clasificar un Conjunto de Posibles Causas de Mal Comportamiento de los Estudiantes en el Aula. Suma 41 (2002) 19-28.
  • [0109] F. Chiclana. Los Problemas de Toma de Decisiones con Múltiples Expertos y Diferentes Estructuras de Preferencia. Una Aplicación en el Entorno Educativo. Epsilon 52:18 (2002) 99-114.
  • [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
  • [0482] C. del Val, P. Ernst, R. Bräuning, K-H Glatting, S. Suhai. PATH: a task for the inference of phylogenies. Bioinformatics 18 (2002) 646-647. PDF Icon
  • [0821] J.L. Castro, C.J. Mantas, J.M. Benítez. Interpretation of Artificial Neural Networks by means of Fuzzy Rules. IEEE Transactions on Neural Networks 13:1 (2002) 101-116. doi: 10.1109/72.977279 PDF Icon
  • [0986] A. Pérez-López. La Evaluación de las Colecciones: Métodos y Modelos. Documentación en las Ciencias de la Información 15 (2002) 321-360.


2001 (19)

  • [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
  • [0045] E. Herrera-Viedma. Modeling the Retrieval Process of an Information Retrieval System Using an Ordinal Fuzzy Linguistic Approach. Journal of the American Society for Information Science and Technology (JASIST). 52:6 (2001) 460-475. PDF Icon
  • [0110] F. Chiclana. Un Modelo de Consenso para Problemas de Toma de Decisiones con Múltiples Expertos. Aplicación en el Entorno Educativo. Epsilon 51:17 (2001) 527-546.
  • [0297] E. Herrera-Viedma. An Information Retrieval Model with Ordinal Linguistic Weighted Queries Based on Two Weighting Elements. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9:4-Suppl. (2001) 77-87. PDF Icon
  • [1124] E. Peis, A.A. Ruíz-Rodríguez. Nuevas tendencias en el tratamiento / gestión de registros electrónicos: el "nuevo paradigma". Boletín de la ANABAD 51:2 (2001) 181-201.
  • [1125] J. C. Fernández-Molina, E. Peis. The moral rights of authors in the age of digital information. Journal of the American Society for Information Science 52:2 (2001) 109-117. PDF Icon


2000 (15)

  • [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
  • [0450] O. Cordón, F. Moya, C. Zarco. A GA-P Algorithm to Automatically Formulate Extended Boolean Queries for a Fuzzy Information Retrieval System. Mathware and Soft Computing 7:2-3 (2000) 309-322. PDF Icon
  • [0820] J.L. Castro, C.J. Mantas, J.M. Benítez. Neural Networks with a Continuous Increasing Squashing function in the output are Universal Approximators. Neural Networks 13:6 (2000) 561-563. doi: 10.1016/S0893-6080(00)00031-9 PDF Icon
  • [1126] E. Peis, F. de Moya, J. C. Fernandez-Molina. Encoded archival description (EAD) conversion: a methodological proposal. Library-Hi-Tech 18:4 (2000) 360-368. PDF Icon
  • [1127] E. Peis, F. de Moya. SGML y servicios de información. IWE. El profesional de la Información 9:6 (2000) 4-17. PDF Icon
  • [1128] E. Peis. Tablas de contenido de monografías con carácter colectivo y enriquecimiento de registros bibliográficos. Boletín de la Asociación Andaluza de Bibliotecarios 15:59 (2000) 23-35.


1999 (11)

  • [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
  • [0484] C. del Val, J.M. Barea, C. Azcón-Aguilar. Diversity of Arbuscular Mycorrhizal Fungal populations in heavy metal contaminated soils. Applied Environmental Microbiology 65 (1999) 718-723. PDF Icon
  • [0485] C. del Val, J.M. Barea, C. Azcón-Aguilar. Assessing the tolerance to heavy metals of arbuscular mycorrhizal fungi isolated from sewage-sludge contaminated soils. Applied Soil Ecology 11 (1999) 261- 269. PDF Icon
  • [0486] J.M. Barea, E. Pérez Solis, C. del Val, C. Azcón-Aguilar. Importancia de las micorrizas en el establecimiento y protección de las plantas en suelos degradados. Phytoma 111 (1999) 18-30.
  • [1129] E. Peis, E. Poyatos. Análisis numérico y tipológico de las monografías con carácter colectivo de una biblioteca universitaria. Boletín de la Asociación Andaluza de Bibliotecarios 14:57 (1999) 39-57.


1998 (10)

  • [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.
  • [0819] J.M. Benítez, A. Blanco, M. Delgado, I. Requena. New Aspects on Extraction of Fuzzy Rules using Neural Networks. Mathware & Soft Computing 5 (1998) 333-343. PDF Icon
  • [1130] E. Peis, J. C. Fernández-Molina. Enrichment of bibliographic records of online catalogues through OCR and SGML technology: a step forward in adapting to electronic information. Information Technology and Libraries 17:3 (1998) 161-172.


1997 (13)

  • [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
  • [0818] J.M. Benítez, J.L. Castro, I. Requena. Are Artificial Neural Networks Black Boxes?. IEEE Transactions on Neural Networks 8:5 (1997) 1156-1164. doi: 10.1109/72.623216 PDF Icon
  • [0985] J. López-Gijón. Desde los datos, hacia los modelos. Educación y Biblioteca 78 (1997) 44-49.
  • [0987] A. Pérez. La Biblioteca Escolar en los Países de la Unión Europea. Educación y Biblioteca. Revista Mensual de Documentación y Recursos Didácticos 178 (1997) 24-29.
  • [1131] J. C. Fernández-Molina, E. Peis. Búsqueda dinámica y exploratoria: el browsing en los catálogos en línea. Investigación bibliotecológica: archivonomía, bibliotecología e información 11:22 (1997) 28-39.


1996 (9)

  • [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
  • [0817] J.M. Benítez, A. Blanco, M. Delgado, I. Requena. Neural Methods for Obtaining Fuzzy Rules. Mathware & Soft Computing 3 (1996) 371-382. PDF Icon


1995 (10)

  • [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
  • [0988] A. Pérez. Biblioteca Escolar y Autoaprendizaje. CLIJ. Cuadernos de Literatura Infantil y Juvenil 8:75 (1995) 47-50.
  • [1132] E. Peis, M. Moneda. Bibliotecas universitarias. Recursos humanos y formación. El mercado de trabajo. Boletín de la Asociación Andaluza de Bibliotecarios 11:41 (1995) 49-71.


1994 (5)

  • [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


1993 (4)

  • [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


1992 (2)

  • [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.