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dc.contributor.authorParra Domínguez, Javier 
dc.contributor.authorAlonso-García, Maria
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2026-03-10T09:35:44Z
dc.date.available2026-03-10T09:35:44Z
dc.date.issued2023
dc.identifier.citationParra-Domínguez, J., Alonso-García, M., & Corchado, J. M. (2023). Fuzzy Logic to Measure the Degree of Compliance with a Target in an SDG—The Case of SDG 11. Mathematics, 11(13), 2967. https://doi.org/10.3390/math11132967es_ES
dc.identifier.urihttp://hdl.handle.net/10366/170387
dc.description.abstract[EN]Sustainable development and its significant challenges motivate various international organisations in a way that has never been seen before. With Europe at the forefront, countries such as the United States want to be included in the progress and what a clear and determined commitment to sustainability means for future generations. Our study aimed to go deeper into the follow-up and monitoring of the development of reliable indicators that make the continuous improvement process in sustainability robust. To this end, and using the fuzzy logic methodology, we applied it to one of the indices that have been developed to date, the “Sustainable Development Report” (in its 2022 edition), working on the specific application of SDG 11. Our results show favourable positions for countries such as Brunei Darussalam, Tonga, Tuvalu, Andorra, and the Netherlands and provide robustness when there is a lack of data quality and improvements in the implementation of the process when experts intervene.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSustainabilityes_ES
dc.subjectFuzzy logices_ES
dc.subjectSDGses_ES
dc.subjectSmart citieses_ES
dc.titleFuzzy Logic to Measure the Degree of Compliance with a Target in an SDG—The Case of SDG 11es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.3390/math11132967es_ES
dc.identifier.doi10.3390/math11132967
dc.relation.projectIDFARMS4CLIMATE (PRIMA S1 2021 FARMING SYSTEMS)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2227-7390
dc.journal.titleMathematicses_ES
dc.volume.number11es_ES
dc.issue.number13es_ES
dc.page.initial2967es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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