| A review on trust propagation and opinion dynamics in social networks and group decision making frameworks R Urena, G Kou, Y Dong, F Chiclana, E Herrera-Viedma Information Sciences 478, 461-475, 2019 | 324 | 2019 |
| Managing incomplete preference relations in decision making: a review and future trends R Ureña, F Chiclana, JA Morente-Molinera, E Herrera-Viedma Information Sciences 302, 14-32, 2015 | 267 | 2015 |
| On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends JA Morente-Molinera, IJ Pérez, MR Ureña, E Herrera-Viedma Knowledge-Based Systems 74, 49-60, 2015 | 258 | 2015 |
| Building consensus in group decision making with an allocation of information granularity. FJ Cabrerizo, R Ureña, W Pedrycz, E Herrera-Viedma Fuzzy Sets and Systems 255, 115-127, 2014 | 230 | 2014 |
| A social network based approach for consensus achievement in multiperson decision making R Urena, F Chiclana, G Melancon, E Herrera-Viedma Information Fusion, 2019 | 172 | 2019 |
| Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations R Urena, F Chiclana, H Fujita, E Herrera-Viedma Knowledge-Based Systems 89, 86-96, 2015 | 148 | 2015 |
| Carrying out consensual group decision making processes under social networks using sentiment analysis over comparative expressions JA Morente-Molinera, G Kou, K Samuylov, R Ureña, E Herrera-Viedma Knowledge-Based Systems 165, 335-345, 2019 | 112 | 2019 |
| A personalized consensus feedback mechanism based on maximum harmony degree M Cao, J Wu, F Chiclana, R Ureña, E Herrera-Viedma IEEE transactions on systems, man, and cybernetics: systems 51 (10), 6134-6146, 2020 | 81 | 2020 |
| Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies JA Morente-Molinera, IJ Pérez, MR Ureña, E Herrera-Viedma Information Sciences 328, 418-434, 2016 | 59 | 2016 |
| Consensus reaching with time constraints and minimum adjustments in group with bounded confidence effects H Liang, Y Dong, Z Ding, R Ureña, F Chiclana, E Herrera-Viedma IEEE Transactions on Fuzzy Systems 28 (10), 2466-2479, 2019 | 47 | 2019 |
| Real-time tone mapping on GPU and FPGA R Ureña, P Martínez-Cañada, JM Gómez-López, C Morillas, F Pelayo EURASIP Journal on Image and Video Processing 2012, 1-15, 2012 | 47 | 2012 |
| GDM-R: A new framework in R to support fuzzy group decision making processes R Ureña, FJ Cabrerizo, JA Morente-Molinera, E Herrera-Viedma Information Sciences 357, 161-181., 2016 | 45 | 2016 |
| Building and managing fuzzy ontologies with heterogeneous linguistic information JA Morente-Molinera, IJ Pérez, MR Ureña, E Herrera-Viedma Knowledge-Based Systems 88, 154-164, 2015 | 43 | 2015 |
| Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets R Ureña, G Kou, J Wu, F Chiclana, E Herrera‐Viedma International Journal of Intelligent Systems 34 (6), 1261-1280, 2019 | 34 | 2019 |
| Visual training and emotional state of people with retinitis pigmentosa H Chacón-López, FJ Pelayo, MD López-Justicia, CA Morillas, R Urena, ... J Rehabil Res Dev 50 (8), 1157-1168, 2013 | 28 | 2013 |
| A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations I Bueno, RA Carrasco, R Ureña, E Herrera-Viedma Information Sciences 589, 300-320, 2022 | 21 | 2022 |
| DeciTrustNET: A graph based trust and reputation framework for social networks R Urena, F Chiclana, E Herrera-Viedma Information Fusion 61, 101-112, 2020 | 19 | 2020 |
| Challenges and open questions in soft consensus models FJ Cabrerizo, F Chiclana, MR Urena, E Herrera-Viedma 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 944-949, 2013 | 17 | 2013 |
| Trust based group decision making in environments with extreme uncertainty A Taghavi, E Eslami, E Herrera-Viedma, R Ureña Knowledge-Based Systems 191, 105168, 2020 | 16 | 2020 |
| Fuzzy clustering approach for brain tumor tissue segmentation in magnetic resonance images IA Rodríguez-Méndez, R Ureña, E Herrera-Viedma Soft Computing 23, 10105-10117, 2019 | 16 | 2019 |
Enrique Herrera-ViedmaProfessor of Computer Science and Artificial Intelligence, Spain, University of GranadaAdresse e-mail validée de decsai.ugr.es
