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Assessing Macroseismic Data Reliability through Rough Set Theory: Application on Vulture Area (Basilicata, Southern Italy)

Contributo in Atti di convegno
Data di Pubblicazione:
2010
Abstract:
This paper deals with the analysis of the reliability of information concerning damages caused to buildings by earthquakes. This research was started after analyzing a huge amount of written sources drawn up after 1930 Irpinia (southern Italy) earthquake. The analysis led to delineate damage 'scenarios', useful in trying to mitigate seismic risk for most affected towns. Once analyzed the effects induced by the quake, it was suitable to assess the reliability of the retrieved information. A data-set has been built concerning administrative-technical aspects of 1930 earthquake and referring to the most important towns of the area. Data have been analyzed through Rough Set Approach, a non-parametric statistic methodology.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Rough Set Theory; earthquake; damage pattern; macroseismic data.
Elenco autori:
Danese, Maria; Zotta, Cinzia; Masini, Nicola; Potenza, MARIA ROSARIA; Gizzi, FABRIZIO TERENZIO
Autori di Ateneo:
DANESE MARIA
GIZZI FABRIZIO TERENZIO
MASINI NICOLA
POTENZA MARIA ROSARIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/95966
Titolo del libro:
Advances in Intel. Decision Technologies
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