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dc.contributor.authorMoreno, M.
dc.contributor.authorPrieto Ibáñez, Andrés José
dc.contributor.authorOrtiz, R.
dc.contributor.authorCagigas Muñiz, D.
dc.contributor.authorBecerra, J.
dc.contributor.authorGarrido Vizuete, M. A.
dc.contributor.authorSegura, D.
dc.contributor.authorMacías Bernal, Juan Manuel
dc.contributor.authorChávez de Diego, María José
dc.contributor.authorOrtiz, P.
dc.date.accessioned2023-07-11T06:23:13Z
dc.date.available2023-07-11T06:23:13Z
dc.date.issued2022
dc.identifier.citationMoreno, M., Prieto Ibáñez, A. J., Ortiz, R., Cagigas Muñiz, D., Becerra, J., Garrido Vizuete, M. A. y Segura, D. (2022). Preventive Conservation and Restoration Monitoring of Heritage Buildings Based on Fuzzy Logic. International Journal of Architectural Heritage. https://doi.org/10.1080/15583058.2021.2018520es
dc.identifier.issn1558-3058
dc.identifier.urihttp://hdl.handle.net/20.500.12251/3054
dc.description.abstractThis article discusses the usability of the Art-Risk 3.0 software for research on the conservation of heritage buildings. It is a new and free software based on fuzzy logic, which enables the assessment of preventive conservation and surveillance of the restoration of heritage buildings over a period of time. This artificial intelligence-based tool considers the vulnerability of buildings, their environments, and their management to evaluate the necessity of their restoration or preventive conservation. To validate the Art-Risk 3.0, 500 theoretical case studies were analyzed, and a 14th-century Mudejar-Gothic-style Church in Seville, Spain was studied both before and after its restoration to identify post-restoration changes. This proof of concept demonstrates the capability of the Art-Risk 3.0 software to analyze environmental impacts on the vulnerability, risk, and functional service life of buildings, and assess the effectiveness of restoration activities. Additionally, this software identifies the most problematic factors and the necessity of restoration. © 2022 Taylor & Francis.en
dc.language.isoenges
dc.publisherTAYLOR & FRANCIS INCes
dc.titlePreventive Conservation and Restoration Monitoring of Heritage Buildings Based on Fuzzy Logicen
dc.typearticlees
dc.identifier.doi10.1080/15583058.2021.2018520
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85125955140&doi=10.1080%2f15583058.2021.2018520&partnerID=40&md5=ee9f49c592c998eafb28791d87c54183
dc.journal.titleInternational Journal of Architectural Heritage
dc.subject.keywordConservación del Patrimonioes
dc.subject.keywordPatrimonio edificadoes
dc.subject.keywordProgramas informáticoses
dc.subject.keywordConservación preventivaes
dc.subject.keywordInteligencia Artificiales
dc.subject.keywordVulnerabilidad - Construcciónes
dc.subject.keywordArt-Risk - Programa informático -es
dc.subject.keywordImpacto medioambientales
dc.subject.keywordVida útil - Edificaciónes
dc.subject.unesco3305.26 Edificios Públicoses
dc.subject.unesco3310.04 Ingeniería de Mantenimientoes
dc.subject.unesco2501.21 Simulación Numéricaes


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