Prieto, A J (2021) Fuzzy systems in the digital management of heritage timber buildings in South Chile. Building Research & Information, 49(8), pp. 878-892. ISSN 0961-3218
Abstract
In the protection of heritage buildings, computational models are an innovative technology for the implementation of effective preservation strategies. These models can manage both data obtained from the buildings and data from the knowledge base of professional experts. The preventive conservation of heritage buildings requires cooperative efforts, where the professional experts' opinions are paramount, to analyse multidisciplinary knowledge. In this respect, the incorporation of new protocols, which can help decision makers prioritize interventions and avoid restoration actions that are unnecessarily invasive or might cause irreparable loss of the properties, is urgently needed. The aim of this study is to establish a new approach concerning a digital management system that is based on artificial intelligence (fuzzy logic). Application of the model reveals that the sample (42 buildings) was classified into two vulnerability conditions: (i) medium-level affections and (ii) high-level vulnerability affections. The results obtained in this study will be useful to stakeholders who are responsible for the maintenance of heritage buildings, since this methodology allows reducing their probability of failure. This new digital management tool will help in the establishment of possible mitigation strategies that are focused on preventive future maintenance programmes of a set of heritage buildings in South Chile.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | digital management; fuzzy logic; heritage timber buildings; South Chile; vulnerability |
| Index terms: | restoration, mitigation, vulnerability, heritage building, methodology, programme, strategy, computational model, management system, knowledge base, artificial intelligence, implementation, Chile, preventive conservation, fuzzy logic |
| Subjects: | contractual arrangements, data science, artificial intelligence, modelling and simulation, construction type, information systems, environmental hazards, project controls, Geography, financial risk, management, renovation and retrofit, biodiversity, research methods |
| Topics: | Time Control, Organizational Design, Digital Applications, Sustainability, Construction Technology, Procurement, Engineering Principles, Research Practice, Geographical Context, Business Strategy, Cost Management |
| Descriptive scope: | 4 PCTA |
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