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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Stellacci, S., Moro, S. & Borsoi, G. (2021). Multi-criteria analysis for seismic retrofitting: text mining of existing literature. SyMBoL - Sustainable Management of heritage Buildings in a Long-term perspective.
Exportar Referência (IEEE) 
S. Stellacci et al.,  "Multi-criteria analysis for seismic retrofitting: text mining of existing literature", in SyMBoL - Sustainable Management of heritage Buildings in a Long-term perspective, Norway, 2021
Exportar BibTeX 
@misc{stellacci2021_1776793962482,
	author = "Stellacci, S. and Moro, S. and Borsoi, G.",
	title = "Multi-criteria analysis for seismic retrofitting: text mining of existing literature",
	year = "2021",
	howpublished = "Outro",
	url = "https://www.gruppofrattura.eu/events/symbol"
}
Exportar RIS 
TY  - CPAPER
TI  - Multi-criteria analysis for seismic retrofitting: text mining of existing literature
T2  - SyMBoL - Sustainable Management of heritage Buildings in a Long-term perspective
AU  - Stellacci, S.
AU  - Moro, S.
AU  - Borsoi, G.
PY  - 2021
CY  - Norway
UR  - https://www.gruppofrattura.eu/events/symbol
AB  - Design retrofitting of historical buildings in earthquake-prone areas and in low-income countries is a demanding task. The elicitation of the most suitable seismic retrofitting techniques can be carried out using Multi-criteria decision analysis (MCDA), which allows to prioritize and score options by building value trees and weighting criteria through group decision-making. 
The selection of the most suitable and reliable MCDA method in heritage building by analysts or decision-makers (DMs) requires a large amount of data and effort and it is still under discussion. 
A comparative analysis of already executed MCDA for seismic retrofitting is thus necessary and can provide further insight on different construction buildings and damage patterns.
In this study, a literature review of academic database from Scopus on applications of MCDA was carried out adopting text mining and topic modelling method, with the aim of aggregating existing literature into relevant topics. Textual information included in the title, abstract, and keywords found in relevant literature were taken into account to identify the significant dimensions of research, uncovering research applications and approaches. 
ER  -