J. Bernabé-Moreno, A. Tejeda-Lorente, Carlos Porcel, E. Herrera-ViedmaLeveraging localized social media insigths for industry early warning systems
International Journal of Information Technology & Decision Making, vol. 17, n.º 1. pp. 357-385, 2018.
Osman Taylan, Muhammed R. Kabli, Carlos Porcel, Enrique Herrera-ViedmaContractor Selection for Construction Projects Using Consensus Tools and Big Data
International Journal of Fuzzy Systems, vol. 20, n.º 4. pp. 1267-1281, 2018.
Carlos Porcel, A. Ching-López, G. Lefranc, V. Loia, E. Herrera-ViedmaAn academic social network based on a personalized fuzzy linguistic recommender system
Engineering Applications of Artificial Intelligence, vol. 75. pp. 1-10, 2018.
Victor M. Mondragon, Vicente Garcia Diaz, Rubén González Crespo, Carlos Porcel, Enrique Herrera-ViedmaAdaptive contents for Interactive TV guided by machine learning based on predictive sentiment analysis of data
Soft Computing, vol. 22, n.º 8. pp. 2731-2752, 2018.
J. Bernabé-Moreno, A. Tejeda-Lorente, Carlos Porcel, E. Herrera-ViedmaQuantifying the emotional impact of events on locations with Social Media
Knowledge Based System, vol. 146. pp. 44-57, 2018.


Carlos Porcel, Alberto Ching-López, Alvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-ViedmaFuzzy linguistic recommender systems for the selective diffusion of information in digital libraries
Journal of Information Processing Systems (JIPS), vol. 13, n.º 4. pp. 653 - 667, 2017.


Juan Bernabé-Moreno, álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-ViedmaCARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information
Knowledge-Based Systems, vol. 80. pp. 163-179, 2015.
Carmen Martínez-Cruz, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-ViedmaA model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling
Information Sciences. pp. 102-118, 2015.
Juan Bernabé-Moreno, álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-ViedmaA new model to quantify the impact of a topic in a location over time with Social Media
Expert Systems With Applications, vol. 42. pp. 3381-3395, 2015.
álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-ViedmaREFORE: A recommender system for researchers based on bibliometrics.
Applied Soft Computing. 2015.
E. Herrera-Viedma, J. Bernabé-Moreno, Carlos Porcel, M.A. MartínezSolidarity in Social Media: when users abandon their comfort zone - The Charlie Hebdo case
Icono 14, vol. 13. pp. 6-22, 2015.


álvaro Tejeda-Lorente, Carlos Porcel, E. Peis, Rosa Sanz, Enrique Herrera-ViedmaA quality based recommender system to disseminate information in a university digital library
Information Sciences, vol. 261. pp. 52-69, 2014.
B Esteban, álvaro Tejeda-Lorente, Carlos Porcel, Manolo Arroyo, Enrique Herrera-ViedmaTPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems
Knowledge-Based Systems, vol. 67. pp. 429-438, 2014.


Carlos Porcel, álvaro Tejeda-Lorente, María Angeles Martínez, Enrique Herrera-ViedmaA hybrid recommender system for the selective dissemination of research resources in a technology transfer office.
Information Sciences, vol. 184, n.º 1. Information Sciences, pp. 1-19, 2012.


Carlos Porcel, Enrique Herrera-ViedmaDealing with Incomplete Information in a Fuzzy Linguistic Recommender System to Disseminate Information in a University Digital Library
Knowledge-Based Systems, vol. 23. ELSEVIER SCIENCE BV, pp. 32-39, 2010.
Carlos Porcel, J.M. Morales, M.J Cobo, A.A Ruíz, Enrique Herrera-ViedmaAn Improved Recommender System to Avoid the Persistent Information Overload in a University Digital Library
Control and Cybernetics-ICAE journal. Special Issue, vol. 39. Polish Academy of Sciences, 2010.
Juan Manuel Moreno, J.M. Morales, Carlos Porcel, Enrique Herrera-ViedmaA quality evaluation methodology for health-related websites based on a 2-tuple fuzzy linguistic approach
Soft Computing, vol. 14. pp. 887-897, 2010.
Juan Manuel Moreno, J.M. Morales, Carlos Porcel, Enrique Herrera-ViedmaA Quality Evaluation Methodology for Health-related Websites Based on the 2-tuple Fuzzy Linguistic Approach
Special Issue on Web Quality of the journal Soft Computing, vol. 14. Springer, pp. 887-897, 2010.


Enrique Herrera-Viedma, A.G López, S Alonso, Juan Manuel Moreno, Francisco Javier Cabrerizo, Carlos PorcelA Computer-Supported Learning System to Help Teachers to Teach Fuzzy Information Retrieval Systems
Information Retrieval, vol. 12. Springer, pp. 179-200, 2009.
Carlos Porcel, Enrique Herrera-Viedma, Juan Manuel MorenoA Multi-disciplinar Recommender System to Advice Research Resources in University Digital Libraries
Expert Systems with Applications, vol. 36. PERGAMON-ELSEVIER SCIENCE LTD, pp. 12520-12528, 2009.
Carlos Porcel, A.G López, Enrique Herrera-ViedmaA Recommender System for Research Resources based on Fuzzy Linguistic Modeling
Expert Systems with Applications, vol. 36. PERGAMON-ELSEVIER SCIENCE LTD., pp. 5173-5183, 2009.


S Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, J Alcalá, Carlos PorcelA Consistency-Based Procedure to Estimate Missing Pairwise Preference Values
International Journal of Intelligent Systems, vol. 23. Wiley, pp. 155-175, 2008.


Enrique Herrera-Viedma, A.G López, M Luque, Carlos PorcelA Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach
International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol. 15. World Scientific, pp. 225-250, 2007.


Enrique Herrera-Viedma, G Pasi, A.G López, Carlos PorcelEvaluating the Information Quality of Web Sites: A Methodology Based on Fuzzy Computing with Words
Journal of American Society for Information Science and Technology, vol. 57. Wiley, pp. 538-549, 2006.


Enrique Herrera-Viedma, A.G López, Carlos PorcelTuning the Matching Function for a Threshold Weighting Semantics in a Linguistic Information Retrieval System
International Journal of Intelligent Systems, vol. 20. Wiley, pp. 921-937, 2005.