Carlos Porcel - RankMe

69 papers B 3C 9Journal 33Unranked 22

Year	Rank	Type	Title / 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