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Papers published in Journals (E. Herrera-Viedma)

Number of Results: 432

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In Press (1)

  • [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.


2023 (23)


2022 (40)

  • [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
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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


2021 (47)

  • [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
  • [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
  • [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..
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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
  • [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


2020 (46)


2019 (39)

  • [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..
  • [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.
  • [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..
  • [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
  • [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
  • [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..
  • [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
  • [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..
  • [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..
  • [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.
  • [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
  • [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
  • [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
  • [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
  • [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..
  • [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.


2018 (51)


2017 (18)


2016 (16)


2015 (27)


2014 (11)


2013 (8)


2012 (9)


2011 (7)


2010 (17)


2009 (19)


2008 (7)


2007 (7)


2006 (3)

  • [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
  • [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
  • [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


2005 (2)

  • [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
  • [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


2004 (5)


2003 (6)


2002 (3)


2001 (4)

  • [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
  • [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
  • [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
  • [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


2000 (3)

  • [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
  • [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


1998 (3)

  • [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
  • [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
  • [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.


1997 (3)

  • [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
  • [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


1996 (5)

  • [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
  • [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


1995 (2)

  • [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