Carlos Porcel

69 papers B 3C 9Journal 33Unranked 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
Energy internet project evaluation in circular economy practices: A novel multi-criteria decision-making framework with flexible linguistic expressions based on multi-granularity cloud-rough set.
Comput. Ind. Eng.
Han Wang, Yanbing Ju, Carlos Porcel
2025 J jnl
Modelling Large-Scale Group Decision-Making Through Grouping with Large Language Models.
Future Internet
Juan Carlos González-Quesada, José Ramón Trillo, Carlos Porcel, Ignacio Javier Pérez, Francisco Javier Cabrerizo
2024 J jnl
A utility-based three-way group decision consensus model with overlapping subgroups.
Inf. Sci.
Yanxin Xu, Yanbing Ju, Zaiwu Gong, Junpeng Sun, Peiwu Dong, Carlos Porcel, Enrique Herrera-Viedma
2023 J jnl
Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems.
Inf.
Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2022 J jnl
Soft computing for recommender systems and sentiment analysis.
Appl. Soft Comput.
Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria
2021 J jnl
A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion value.
Appl. Soft Comput.
Itzcóatl Bueno, Ramón Alberto Carrasco, Carlos Porcel, Gang Kou, Enrique Herrera-Viedma
2021 — conf
A preliminary study of a citizen participation system based on consensus for Decision-making Processes.
HICSS
Francisco Mata, Ángeles Verdejo, Luis G. Pérez, Carlos Porcel
2021 J jnl
Corrigendum to "Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation" Information Fusion Volume 69 (2020) 103-127.
Inf. Fusion
Iván Palomares, James Neve, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma
2021 — conf
Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples.
ITQM
Itzcóatl Bueno, Ramón Alberto Carrasco, Carlos Porcel, Enrique Herrera-Viedma
2021 J jnl
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation.
Inf. Fusion
Iván Palomares, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma
2020 J jnl
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary.
Knowl. Based Syst.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2020 J jnl
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests.
Inf. Sci.
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2020 J jnl
Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology.
Int. J. Comput. Commun. Control
Carlos Porcel, Julio Herce-Zelaya, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2019 — conf
A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds.
ITQM
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2019 — conf
An automatic skills standardization method based on subject expert knowledge extraction and semantic matching.
ITQM
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2019 — conf
Web platform for learning distributed databases' queries processing.
ITQM
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2018 C conf
Adapting Recommender Systems to the New Data Privacy Regulations.
SoMeT
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2018 J jnl
Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data.
Soft Comput.
Victor M. Mondragón, Vicente García-Díaz, Carlos Porcel, Rubén González Crespo
2018 C conf
An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.
SoMeT
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
2018 J jnl
Contractor Selection for Construction Projects Using Consensus Tools and Big Data.
Int. J. Fuzzy Syst.
Osman Taylan, Muhammed R. Kabli, Carlos Porcel, Enrique Herrera-Viedma
2018 J jnl
Leveraging Localized Social Media Insights for Industry Early Warning Systems.
Int. J. Inf. Technol. Decis. Mak.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2018 J jnl
Quantifying the emotional impact of events on locations with social media.
Knowl. Based Syst.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
2018 J jnl
Sharing notes: An academic social network based on a personalized fuzzy linguistic recommender system.
Eng. Appl. Artif. Intell.
Carlos Porcel, Alberto Ching-López, Gastón Lefranc, Vincenzo Loia, Enrique Herrera-Viedma
2018 C conf
Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems.
SoMeT
Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2018 C conf
Using the AHP Model to Improve the Measurement of Satisfaction in the ICT Sector.
SoMeT
Ramón Alberto Carrasco, Laura N. Forero, Santiago X. López, Enrique Herrera-Viedma, Carlos Porcel
2017 — conf
A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.
EUSFLAT/IWIFSGN (1)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2017 C conf
A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis.
SoMeT
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2017 — conf
Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries.
EUSFLAT/IWIFSGN (3)
Carlos Porcel, Alberto Ching-López, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2017 J jnl
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries.
J. Inf. Process. Syst.
Carlos Porcel, Alberto Ching-López, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2017 — conf
Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries.
EUSFLAT/IWIFSGN (3)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
2016 B conf
Improving queries and representing heterogeneous information in Fuzzy Ontologies using multi-granular fuzzy linguistic modelling methods.
SMC
Juan Antonio Morente-Molinera, Ignacio Javier Pérez, Francisco Javier Cabrerizo, Carlos Porcel, Enrique Herrera-Viedma
2015 — conf
A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System.
ITQM
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Pablo Galindo-Moreno, Enrique Herrera-Viedma
2015 C conf
A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques.
IDEAL
Carlos Porcel, María Jesús Lizarte, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2015 J jnl
A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling.
Inf. Sci.
Carmen Martínez-Cruz, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2015 J jnl
A new model to quantify the impact of a topic in a location over time with Social Media.
Expert Syst. Appl.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2015 J jnl
CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information.
Knowl. Based Syst.
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
2015 — conf
Emotional Profiling of Locations Based on Social Media.
ITQM
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
2015 — conf
Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems.
ITQM
Carlos Porcel, Carmen Martínez-Cruz, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
2015 J jnl
REFORE: A recommender system for researchers based on bibliometrics.
Appl. Soft Comput.
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2015 — conf
Recommending scientific papers through a method based on bibliometric measures.
IFSA-EUSFLAT
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
2014 J jnl
A quality based recommender system to disseminate information in a university digital library.
Inf. Sci.
Álvaro Tejeda-Lorente, Carlos Porcel, Eduardo Peis, Rosa Sanz, Enrique Herrera-Viedma
2014 — conf
Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System.
RSCTC
Bernabé Esteban, Álvaro Tejeda-Lorente, Carlos Porcel, José Antonio Moral-Muñoz, Enrique Herrera-Viedma
2014 — conf
Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries.
ITQM
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
2014 — conf
Leveraging Localized Social Media Insights for Early Warning Systems.
ITQM
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
2014 J jnl
TPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems.
Knowl. Based Syst.
Bernabé Esteban, Álvaro Tejeda-Lorente, Carlos Porcel, Manolo Arroyo, Enrique Herrera-Viedma
2012 J jnl
A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office.
Inf. Sci.
Carlos Porcel, Álvaro Tejeda-Lorente, María Ángeles Martínez, Enrique Herrera-Viedma
2011 C conf
Using memory to reduce the information overload in a university digital library.
ISDA
Álvaro Tejeda-Lorente, Carlos Porcel, María Ángeles Martínez, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma
2010 J jnl
A quality evaluation methodology for health-related websites based on a 2-tuple fuzzy linguistic approach.
Soft Comput.
Juan Manuel Moreno, José M. Morales-del-Castillo, Carlos Porcel, Enrique Herrera-Viedma
2010 J jnl
Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries.
Knowl. Based Syst.
Carlos Porcel, Enrique Herrera-Viedma
2009 — conf
A Fuzzy Linguistic Recommender System to Disseminate the Own Academic Resources in Universities.
Web Intelligence/IAT Workshops
Carlos Porcel, Enrique Herrera-Viedma
2009 — conf
A Linguistic Recommender System For University Digital Libraries To Help Users In Their Research Resources Accesses.
MCIS
Carlos Porcel, María Jesús Lizarte, Enrique Herrera-Viedma
2009 — conf
A Web-Based Service for the Elicitation of Resources in the Biomedical Domain.
Web Intelligence/IAT Workshops
José M. Morales-del-Castillo, Carlos Porcel, Enrique Herrera-Viedma, Eduardo Peis
2009 J jnl
A computer-supported learning system to help teachers to teach Fuzzy Information Retrieval Systems.
Inf. Retr.
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Sergio Alonso, Juan Manuel Moreno, Francisco Javier Cabrerizo, Carlos Porcel
2009 J jnl
A multi-disciplinar recommender system to advice research resources in University Digital Libraries.
Expert Syst. Appl.
Carlos Porcel, Juan Manuel Moreno, Enrique Herrera-Viedma
2009 J jnl
A recommender system for research resources based on fuzzy linguistic modeling.
Expert Syst. Appl.
Carlos Porcel, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma
2009 C conf
Using Incomplete Fuzzy Linguistic Preference Relations to Characterize User Profiles in Recommender Systems.
ISDA
Enrique Herrera-Viedma, Carlos Porcel
2008 — ch.
A Fuzzy Linguistic Recommender System to Advice Research Resources in University Digital Libraries.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, Sergio Alonso
2008 J jnl
A consistency-based procedure to estimate missing pairwise preference values.
Int. J. Intell. Syst.
Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Jesús Alcalá-Fdez, Carlos Porcel
2007 J jnl
A Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, María Luque, Carlos Porcel
2007 B conf
A Linguistic Multi-level Weighted Query Language to Represent User Information Needs.
FUZZ-IEEE
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Sergio Alonso, Carlos Porcel, Francisco Javier Cabrerizo
2007 — conf
Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study.
IFSA (2)
Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera, Carlos Porcel, Sergio Alonso
2007 — conf
Using Visualization Tools to Guide Consensus in Group Decision Making.
WILF
Sergio Alonso, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Carlos Porcel, Antonio Gabriel López-Herrera
2006 J jnl
Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words.
J. Assoc. Inf. Sci. Technol.
Enrique Herrera-Viedma, Gabriella Pasi, Antonio Gabriel López-Herrera, Carlos Porcel
2006 C conf
Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information.
FQAS
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, Sergio Alonso, Amelia Zafra
2006 B conf
Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems.
MDAI
Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel
2005 — conf
A New Model of Linguistic Weighted Information Retrieval System.
EUSFLAT Conf.
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Carlos Porcel
2005 — ch.
Techniques to Improve Multi-Agent Systems for Searching and Mining the Web.
Intelligent Data Mining
Enrique Herrera-Viedma, Carlos Porcel, Francisco Herrera, Luis Martínez-López, Antonio Gabriel López-Herrera
2005 J jnl
Tuning the matching function for a threshold weighting semantics in a linguistic information retrieval system.
Int. J. Intell. Syst.
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, Carlos Porcel
2004 — conf
A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques.
AWIC
Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel López-Herrera, María Dolores Olvera, Karina Anaya