Fuzzy logic applied to the analysis of the heritage buildings' performance
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2018-05Materia/s
Materia/s Unesco
1101 Aplicaciones de la Lógica
3312.08 Propiedades de Los Materiales
3313.04 Material de Construcción
5506.01 Historia de la Arquitectura
Resumen
Maintenance strategies of heritage buildings are essential to control their progressive degradation over time. In this research, a fuzzy expert system considers a total of 17 variables directly related to vulnerability and risk characteristics. The case studies are a total of 20 religious buildings located in south Spain. Nearly 400 historical records were analyzed, covering information collected from the 13rd-14th to 21st century. This study intends to analyze the historical data recovered for managing accurate valuation of the input's model. The result of the model generates a ranking in terms of functional behavior regarding the priority of intervention from among the constructions analyzed over time. This information is extremely relevant to aid decision-making processes based on the protection of the cultural heritage, using the available historical records, thus learning from lessons of the past.
Maintenance strategies of heritage buildings are essential to control their progressive degradation over time. In this research, a fuzzy expert system considers a total of 17 variables directly related to vulnerability and risk characteristics. The case studies are a total of 20 religious buildings located in south Spain. Nearly 400 historical records were analyzed, covering information collected from the 13rd-14th to 21st century. This study intends to analyze the historical data recovered for managing accurate valuation of the input's model. The result of the model generates a ranking in terms of functional behavior regarding the priority of intervention from among the constructions analyzed over time. This information is extremely relevant to aid decision-making processes based on the protection of the cultural heritage, using the available historical records, thus learning from lessons of the past.