165187 20251219174251.0 doi 10.3390/electronics14234698 sideral 146734 ART-2025-146734 eng Estrada-Velazco, Aylin An Approach Based on Granular Computing and 2-Tuple Linguistic Model to Personalize Linguistic Information in Group Decision-Making 2025 Group decision-making is an inherently collaborative process that can become increasingly complex when addressing the uncertainty associated with linguistic assessments from experts. A crucial principle for achieving a solution of superior quality lies in the acknowledgment that the same word may bear divergent meanings among different experts. Regrettably, a significant number of existing methodologies for computing with words presuppose a uniformity of meaning for linguistic assessments across all participating individuals. In response to this limitation, we propose an innovative methodology based on the 2-tuple linguistic model in conjunction with the granular computing paradigm. Given that the individual interpretations of words, when articulating preferences, are closely linked to the consistency of each expert, our proposal places particular emphasis on the modification of the symbolic translation of the 2-tuple linguistic value with the overarching objective of maximizing the consistency of their assessments. This adjustment is implemented while preserving the original linguistic preferences communicated by the experts. We address a real-world building refurbishment problem and conduct a comparative analysis to demonstrate the effectiveness of the proposal. Focusing on consistency enhances group decision-making processes and outcomes, ensuring both accuracy and alignment with individual interpretations and preferences. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MICIU/PID2022-139297OB-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Zulueta-Véliz, Yeleny Trillo, José Ramón Universidad de Zaragoza (orcid)0000-0002-7998-5476 Cabrerizo, Francisco Javier 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 14, 23 (2025), 4698 [24 pp.] Electronics (Basel) Electronics (Basel) 2079-9292 470536 http://zaguan.unizar.es/record/165187/files/texto_completo.pdf Versión publicada 2557235 http://zaguan.unizar.es/record/165187/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:165187 articulos driver 2025-12-19-14:42:40 ARTICLE