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Título
Fuzzy Logic to Measure the Degree of Compliance with a Target in an SDG—The Case of SDG 11
Autor(es)
Palabras clave
Sustainability
Fuzzy logic
SDGs
Smart cities
Fecha de publicación
2023
Editor
MDPI
Citación
Parra-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/math11132967
Resumen
[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.
URI
DOI
10.3390/math11132967
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