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dc.contributor.authorGarcía Aragón, Roberto 
dc.contributor.authorMedina Moreno, Jesús 
dc.contributor.authorMolina Ruiz, Samuel José 
dc.contributor.otherMatemáticases_ES
dc.date.accessioned2026-11-04T11:08:09Z
dc.date.available2026-11-04T11:08:09Z
dc.date.issued2026
dc.identifier.issn1099-1476
dc.identifier.issn0170-4214
dc.identifier.urihttp://hdl.handle.net/10498/40545
dc.description.abstractThe notion of bond was introduced as a technique to aggregate information from multiple datasets without modifying the information already present in each of the datasets. This notion has been extended to several fuzzy frameworks, including the residuated lattice setting, which we also consider in this paper. While most studies on bonds have emphasized their role in aggregating contexts, relatively little attention has been given to how they can be effectively computed. In this paper, we address this gap by introducing algorithms to compute all bonds between two contexts in both the classical and residuated lattice setting.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley and Sons Ltdes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceMathematical Methods in the Applied Sciences - 2026, Vol. 49 n.11 pp. 11661-11677es_ES
dc.subjectbondses_ES
dc.subjectcomputational techniquees_ES
dc.subjectformal concept analysises_ES
dc.subjectfuzzy setses_ES
dc.subjectresiduated latticeses_ES
dc.titleComputing Bonds Between Formal Contextses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1002/mma.70597
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137620NB-I00/ES/HERRAMIENTAS MATEMATICAS PARA EL RAZONAMIENTO NO CANONICO Y SISTEMAS INTELIGENTES/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//TED2021‐129748B‐I00es_ES
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional