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

  • Fabrizio Gizzi
  • Nicola Masini
  • Maria Rosaria Potenza
  • Cinzia Zotta
  • Lucia Tilio
  • Maria Danese
  • Beniamino Murgante
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 4)

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.

Keywords

Rough Set Theory earthquake damage pattern macroseismic data 

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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Fabrizio Gizzi
    • 1
  • Nicola Masini
    • 1
  • Maria Rosaria Potenza
    • 1
  • Cinzia Zotta
    • 1
  • Lucia Tilio
    • 2
  • Maria Danese
    • 2
  • Beniamino Murgante
    • 2
  1. 1.Archaeological and Monumental Heritage Institute, National Research Council, C.da S.Loia, Zona IndustrialeTito Scalo (PZ)Italy
  2. 2.Laboratory of Urban and Territorial SystemsUniversity of BasilicataPotenzaItaly

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