Laboratorio de Inteligencia Artificial y Sistemas de Decisión

El laboratorio centra su actividad en la investigación aplicada y la transferencia tecnológica en
el ámbito de la inteligencia artificial, los sistemas de decisión y los sistemas de recomendación,
con el propósito de generar soluciones reales a retos científico‑técnicos y sociales. Su misión es
impulsar la transformación digital mediante la integración de metodologías de análisis de
datos, aprendizaje automático, lógica difusa y razonamiento grupal, favoreciendo entornos
más eficientes, confiables y sostenibles en la gestión de información y la toma de decisiones en
sectores estratégicos.
Entre sus principales líneas de trabajo se encuentra el desarrollo de modelos avanzados de
decisión y razonamiento para problemas complejos con el apoyo de la inteligencia artificial,
incluyendo técnicas de optimización, análisis multicriterio y consenso grupal. El laboratorio
investiga también sistemas inteligentes de recomendación y personalización, orientados tanto
a usuarios individuales como colectivos, con atención a la agregación de preferencias, la
adaptabilidad y la explicabilidad de los resultados. Además, se aplican métodos de análisis de
datos y aprendizaje automático para extraer conocimiento de grandes volúmenes de
información, optimizar procesos y apoyar la toma de decisiones en entornos industriales,
sociales y científicos. Finalmente, el laboratorio se enfoca en la transferencia de conocimiento
y la implementación de soluciones de IA responsable y aplicada, asesorando a organizaciones
en la adopción de sistemas inteligentes que sean eficientes, interpretables y socialmente
responsables.

Publicaciones

Solo se muestran los años con publicaciones disponibles:

2026
2025
Francisco J. Quesada and Francisco Moya-Perez and Mercedes Rodriguez-Garcia and Bapi Dutta
A Transparent and Ecologically Sustainable DLT-based Approach for Tendering Processes
JOURNAL OF UNIVERSAL COMPUTER SCIENCE, vol. 31, pág. 277–297, DOI: 10.3897/jucs.150345
Subrata Saha and Prashant Sharma and Atul Kumar Jain and Bapi Dutta and Luis Martínez and Sarkaft Saleh and Tuphan Kanti Dolai and Anilava Kaviraj and Tanmay Sanyal and Izabela Nielsen and Reena Das
Detection of β-Thalassemia trait from a heterogeneous population with red cell indices and parameters
Computers in Biology and Medicine, vol. 192, pág. 110151, DOI: https://doi.org/10.1016/j.compbiomed.2025.110151
Bapi Dutta and Alvaro Labella and Alessio Ishizaka and Luis Martinez
Eliciting personalized AHP scale from verbal pairwise comparisons
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, vol. 76, pág. 541–553, DOI: 10.1080/01605682.2024.2376033
OWA Operators in Large-Scale Group Decision-Making: An Analysis Based on Comprehensive Minimum Cost Consensus
Informatica, vol. 36, pág. 557–588, Vilnius University Institute of Data Science and Digital Technologies, DOI: 10.15388/25-INFOR599
2024
M. A. Alsalem and A. H. Alamoodi and O. S. Albahri and A. S. Albahri and Luis Martinez and Raciel Yera and Ali M. Duhaim and Iman Mohamad Sharaf
Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
EXPERT SYSTEMS WITH APPLICATIONS, vol. 246, DOI: 10.1016/j.eswa.2023.123066
Zhen-Song Chen and Yi Yang and Lesheng Jin and Bapi Dutta and Luis Martinez and Witold Pedrycz and Radko Mesiar and Humberto Bustince
Generalized extended Bonferroni means for isomorphic membership grades
FUZZY SETS AND SYSTEMS, vol. 488, DOI: 10.1016/j.fss.2024.109009
Diego Garcia-Zamora and Bapi Dutta and Jose Rui Figueira and Luis Martinez
The Deck of Cards Method to Build Interpretable Fuzzy Sets in Decision-making
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 319, pág. 246–262, DOI: 10.1016/j.ejor.2024.06.039
Una revisión sistemática sobre el uso de gamificación en la enseñanza de la programación
XV Workshop in Operations Management and Technology, Linares, Jaén (Spain), 14 – 16 de Marzo
2023
Exploring the Automatic Selection of Aggregation Methods in Group Recommendation
13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, Palma (Spain), September 4-8th, pág. 149–160, Springer, DOI: 10.1007/978-3-031-39965-7_13
LeSheng Jin and Zhen-Song Chen and Ronald R. Yager and Tapan Senapati and Radko Mesiar and Diego García-Zamora and Bapi Dutta and Luis Martinez
Ordered weighted averaging operators for basic uncertain information granules
INFORMATION SCIENCES, vol. 645, DOI: 10.1016/j.ins.2023.119357
2022
Raciel Yera and Ahmad A. Alzahrani and Luis Martinez
A fuzzy content-based group recommender system with dynamic selection of the aggregation functions
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 150, pág. 273–296, DOI: 10.1016/j.ijar.2022.08.015
An optimal Best-Worst prioritization method under a 2-tuple linguistic environment in decision making
XXI Congreso de Tecnologías y Lógica Fuzzy (ESTYLF’22), 5-7 Septiembre, Toledo (España), vol. 155, pág. 78-79, DOI: 10.1016/j.cie.2021.107141
Meng-Die Zhou and Zhen-Song Chen and Jiani Jiang and Gang Qian and Diego Garcia-Zamora and Bapi Dutta and Qiuyan Zhan and LeSheng Jin
Auto-generated Relative Importance for Multi-agent Inducing Variable in Uncertain and Preference Involved Evaluation
INTERNATIONAL JOURNAL OF COMPUTATIONAL IN℡LIGENCE SYSTEMS, vol. 15, DOI: 10.1007/s44196-022-00167-5
2021
A Linguistic 2-tuple Best-Worst Method
BWM Workshop 2021, 10-11th June, Delft, The Netherlands, pág. 41–51, Springer, Cham, DOI: https://doi.org/10.1007/978-3-030-89795-6_4
Aggregation of Comparative Linguistic Expressions with Symbolic Translation by IOWA Operator for Group Decision Making
International Virtual Workshop on Business Analytics Eureka, 2-4th June, Ciudad Juarez (México)
Bapi Dutta and Son Duy Dao and Luis Martinez and Mark Goh
An evolutionary strategic weight manipulation approach for multi-attribute decision making: TOPSIS method
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 129, pág. 64–83, DOI: 10.1016/j.ijar.2020.11.004
Application of Choquet Integral Operator to Aggregate ELICIT Information
Intelligent and Fuzzy Systems, 24–26th August, Izmir (Turkey), vol. 307, pág. 272-280, Springer, DOI: 10.1007/978-3-030-85626-7_33
Yilena Perez-Almaguer and Raciel Yera and Ahmad A. Alzahrani and Luis Martinez
Content-based group recommender systems: A general taxonomy and further improvements
EXPERT SYSTEMS WITH APPLICATIONS, vol. 184, DOI: 10.1016/j.eswa.2021.115444
Exploiting the type-1 OWA operator to fuse the ELICIT information
IEEE CIS International Conference on Fuzzy Systems 2021, 11th-14th July, Luxembourg, IEEE, DOI: 10.1109/FUZZ45933.2021.9494400
2020
2019
A health-awareness nutrition recommender system
IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, 14th-16th November, pág. 36-42, DOI: 10.1109/ISKE47853.2019.9170432
Raciel Yera and Manuel J. Barranco and Ahmad A. Alzahrani and Luis Martinez
Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation
INTERNATIONAL JOURNAL OF COMPUTATIONAL IN℡LIGENCE SYSTEMS, vol. 12, pág. 1382–1392, DOI: 10.2991/ijcis.d.191115.001
2018
Jorge Castro and Raciel Yera and Luis Martinez
A fuzzy approach for natural noise management in group recommender systems
EXPERT SYSTEMS WITH APPLICATIONS, vol. 94, pág. 237–249, DOI: 10.1016/j.eswa.2017.10.060
Group Recommendations Based on Hesitant Fuzzy Sets
INTERNATIONAL JOURNAL OF IN℡LIGENT SYSTEMS, vol. 33, pág. 2058–2077, DOI: 10.1002/int.21922
Raciel Yera and Álvaro Labella and Jorge Castro and Luis Martínez
On group recommendation supported by a minimum cost consensus model
13th International FLINS conference, vol. 11, pág. 227-234, World Scientific, DOI: https://doi.org/10.1142/9789813273238_0031
2017
2016
Raciel Yera and Jorge Castro and Luis Martinez
A fuzzy model for managing natural noise in recommender systems
APPLIED SOFT COMPUTING, vol. 40, pág. 187–198, DOI: 10.1016/j.asoc.2015.10.060
Raciel Yera and Jorge Castro and Luis Martínez
An approach for natural noise management in recommender systems using fuzzy logic
12th International FLINS Conference, pág. 99-104, World Scientific, DOI: 10.1142/9789813146976_0019
Luis Martínez and Jorge Castro and Raciel Yera
Managing Natural Noise in Recommender Systems
5th International Conference on Theory and Practice of Natural Computing (TPNC 2016), pág. 3-17, Springer, DOI: 10.1007/978-3-319-49001-4
2015
Raciel Yera and Yaile Caballero Mota and Luis Martinez
Correcting noisy ratings in collaborative recommender systems
KNOWLEDGE-BASED SYSTEMS, vol. 76, pág. 96–108, DOI: 10.1016/j.knosys.2014.12.011
2014
Jorge Castro and Manuel J. Barranco and Luis Martínez
Improving group recommendation with outlier data filtering
vol. 9, pág. 568-573, The 11th International FLINS Conference on Decision Making and Soft Computing
Weighting of Features in Content- Based Filtering with Entropy and Dependence Measures
INTERNATIONAL JOURNAL OF COMPUTATIONAL IN℡LIGENCE SYSTEMS, vol. 7, pág. 80–89, DOI: 10.1080/18756891.2013.859861
2013
Raciel Yera and Luis Martínez and Y Caballero
Managing Natural Noise in Collaborative Recommender Systems
pág. 872-877, 2013 Joint IFSA World Congress - NAFIPS Annual Meeting
2012
A Location-Aware Tourism Recommender System based on Mobile Devices
vol. 7, pág. 34-39, The 10th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making
Jose M. Noguera and Manuel J. Barranco and Rafael J. Segura and Luis Martinez
A mobile 3D-GIS hybrid recommender system for tourism
INFORMATION SCIENCES, vol. 215, pág. 37–52, DOI: 10.1016/j.ins.2012.05.010
2011
2010
A method for Weighting Multivalues Features in Content-based Filtering
vol. 6098, pág. 409-418, 23th International Conference on Industrial Engineering and Other Aplications of Applied Intelligent Systems,IEA-AIE2010. Lecture Notes in Artificial Intelligence, Springer
Macarena Espinilla and Manuel J. Barranco and Iván Palomares
Empleo de juegos educativos on-line destinados al auto-entrenamiento y auto-evaluación en la asignatura de Derecho Penal
I Congreso de Innovación Docente en Derecho. IUSINNOVA 2010
Manuel J. Barranco and Rosa M. Rodriguez and Macarena Espinilla and Luis Martínez
Probabilistic Decision Making with the OWA Operator and the 2-tuple Linguistic Aproach
vol. 2010, Universidad de Huelva y European Society for Fuzzy Logic and Technology
2009
Manuel J. Barranco and Luis Gonzaga Pérez and Luis Martínez
A Linguistic Framework for Collaborative and Knowledge-based Filtering: How to Refine Collaborative Filtering Recommendations
vol. 2, pág. 369-374, The 4th International Conference on Intelligent System and Knowledge Engineering (ISKE 2009)
Carlos Porcel and Manuel J. Barranco and Enrique Herrera-Viedma
A linguistic recommender system for university digital libraries to help users in their research resources accesses
vol. 1, pág. 1574-1584, MCIS2009, 4th MEDITERRANEAN CONFERENCE ON INFORMATION SYSTEMS
N Halouani and Luis Martínez and H Chabchoub and Manuel J. Barranco and Jun Liu
A Multi-granular Linguistic Promethee Model
pág. 213-218, International Fuzzy Systems Association. European Society for Fuzzy Logic and Technology
Manuel J. Barranco and Carlos Porcel and Enrique Herrera-Viedma and E. Peis
A web-based service for the elicitation of resources in the biomedical domain
vol. 1, pág. 433-436, International Conference on Web Intelligence and Intelligent Agent Technology
Luis Martínez and Luis Gonzaga Pérez and Manuel J. Barranco
Filling up Incomplete Linguistic Preference Relations by Priorizating Experts Opinions
vol. 1, EUROFUSE Workshop 2009: Preference Modeling and Decision Analysis
Luis Martínez and Luis Gonzaga Pérez and Manuel J. Barranco
Incomplete preference relations to smooth out the cold start in Collaborative Recommender Systems
The 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS2009)
Macarena Espinilla and Rosa M. Rodriguez and Luis Martínez and Luis Gonzaga Pérez and Manuel J. Barranco
SR-REJA. Sistema de Recomendación Híbrido. Georreferenciado
vol. 2009, pág. 147-154, Conferencia IADIS Ibero Americana
Manuel J. Barranco and Macarena Espinilla
The uncertain probabilistic OWA operator
vol. 2009, pág. 201-206, 5th International Summer School on Aggregation Operators
Carlos Porcel and Manuel J. Barranco
Un sistema de recomendaciones lingüístico difuso para el filtrado de material docente
vol. 1, pág. 53-58, I Jornadas Andaluzas de Informática
2008
Luis Martinez and Manuel J. Barranco and Luis G. Perez and Macarena Espinilla
A KNOWLEDGE BASED RECOMMENDER SYSTEM WITH MULTIGRANULAR LINGUISTIC INFORMATION
INTERNATIONAL JOURNAL OF COMPUTATIONAL IN℡LIGENCE SYSTEMS, vol. 1, pág. 225–236
Luis Martinez and Luis G. Perez and Manuel J. Barranco and Macarena Espinilla
IMPROVING THE EFFECTIVENESS OF KNOWLEDGE BASED RECOMMENDER SYSTEMS USING INCOMPLETE LINGUISTIC PREFERENCE RELATIONS
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, vol. 16, pág. 33–56, DOI: 10.1142/S0218488508005479
2007
Luis Martinez and Luis G. Perez and Manuel J. Barranco
A multigranular linguistic content-based recommendation model
INTERNATIONAL JOURNAL OF IN℡LIGENT SYSTEMS, vol. 22, pág. 419–434, DOI: 10.1002/int.20207
2006
Luis Martínez and Luis Gonzaga Pérez and Manuel J. Barranco
Un sistema de Recomendación Multigranular basado en Conocimiento
pág. 645-664, XIII of International Association for Fuzzy Set Management and Economy SIGEF 2006
2005
Jun Liu and Da Ruan and Manuel J. Barranco and Luis Martínez
Self-Tuning Fuzzy Rule Bases with Belief Structure
vol. 5, pág. 419-429, Springer
2004
Luis Gonzaga Pérez and Luis Martínez and Francisco Mata and Manuel J. Barranco
Un Modelo de recomendación con Perfiles de Usuario Lingüísticos
pág. 521-526, XII Congreso Español sobre Tecnologías y Lógica Fuzzy
2002
Estrategias de Conocimiento en la Gestión Tecnológica y Empresarial de los Modelos de Comercio Electrónico
CISIC 2002, I Congreso Internacional de la Sociedad de la Información y del Conocimiento

Proyectos

Aplicaciones