000165187 001__ 165187
000165187 005__ 20251219174251.0
000165187 0247_ $$2doi$$a10.3390/electronics14234698
000165187 0248_ $$2sideral$$a146734
000165187 037__ $$aART-2025-146734
000165187 041__ $$aeng
000165187 100__ $$aEstrada-Velazco, Aylin
000165187 245__ $$aAn Approach Based on Granular Computing and 2-Tuple Linguistic Model to Personalize Linguistic Information in Group Decision-Making
000165187 260__ $$c2025
000165187 5060_ $$aAccess copy available to the general public$$fUnrestricted
000165187 5203_ $$aGroup 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.
000165187 536__ $$9info:eu-repo/grantAgreement/ES/MICIU/PID2022-139297OB-I00
000165187 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000165187 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000165187 700__ $$aZulueta-Véliz, Yeleny
000165187 700__ $$0(orcid)0000-0002-7998-5476$$aTrillo, José Ramón$$uUniversidad de Zaragoza
000165187 700__ $$aCabrerizo, Francisco Javier
000165187 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000165187 773__ $$g14, 23 (2025), 4698 [24 pp.]$$pElectronics (Basel)$$tElectronics (Basel)$$x2079-9292
000165187 8564_ $$s470536$$uhttps://zaguan.unizar.es/record/165187/files/texto_completo.pdf$$yVersión publicada
000165187 8564_ $$s2557235$$uhttps://zaguan.unizar.es/record/165187/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000165187 909CO $$ooai:zaguan.unizar.es:165187$$particulos$$pdriver
000165187 951__ $$a2025-12-19-14:42:40
000165187 980__ $$aARTICLE