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Albertetti, Fabrizio

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Albertetti, Fabrizio
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https://libra.unine.ch/handle/123456789/622

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  • Publication
    Accès libre
    The CriLiM Methodology: Crime Linkage with a Fuzzy MCDM Approach
    (: IEEE, 2013-8-12)
    Albertetti, Fabrizio 
    ;
    Cotofrei, Paul 
    ;
    Grossrieder, Lionel
    ;
    Ribaux, Olivier
    ;
    Stoffel, Kilian 
    Grouping events having similarities has always been interesting for analysts. Actually, when a label is put on top of a set of events to denote they share common properties, the automation and the capability to conduct reasoning with this set drastically increase. This is particularly true when considering criminal events for crime analysts; conjunction, interpretation and explanation can be key success factors to apprehend criminals. In this paper, we present the CriLiM methodology for investigating both serious and high-volume crime. Our artifact consists in implementing a tailored computerized crime linkage system, based on a fuzzy MCDM approach in order to combine spatio-temporal, behavioral, and forensic information. As a proof of concept, series in burglaries are examined from real data and compared to expert results.
  • Publication
    Accès libre
    Crime Linkage: a Fuzzy MCDM Approach
    (: IEEE, 2013-6-4)
    Albertetti, Fabrizio 
    ;
    Cotofrei, Paul 
    ;
    Grossrieder, Lionel
    ;
    Ribaux, Olivier
    ;
    Stoffel, Kilian 
    Grouping crimes having similarities has always been interesting for analysts. Actually, when a set of crimes share common properties, the capability to conduct reasoning and the automation with this set drastically increase. Conjunction, interpretation and explanation based on similarities can be key success factors to apprehend criminals. In this paper, we present a computerized method for high-volume crime linkage, based on a fuzzy MCDM approach in order to combine situational, behavioral, and forensic information. Experiments are conducted with series in burglaries from real data and compared to expert results.