Assessing macroseismic data reliability through rough set theory: The case of rapolla (Basilicata, southern Italy)

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

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. To face up this subject the town of Rapolla (PZ, Basilicata, southern Italy) was chosen as test bed. The whole data set, concerning administrative-technical aspects of 1930 earthquake, was analyzed through Rough Set Approach, a non-parametric statistic methodology. Considering that the town of Rapolla represents a piece of the entire corpus of information available for 1930 earthquake, this paper shows preliminary insights about the subject. © 2010 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Gizzi, F., Masini, N., Potenza, M. R., Zotta, C., Tilio, L., Danese, M., & Murgante, B. (2010). Assessing macroseismic data reliability through rough set theory: The case of rapolla (Basilicata, southern Italy). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6016 LNCS, pp. 320–330). Springer Verlag. https://doi.org/10.1007/978-3-642-12156-2_25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free