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Fuzzy methods for forensic data analysis

Author(s)
Stoffel, Kilian  
Rectorat  
Cotofrei, Paul  
Chaire de management de l'information  
Han, Dong  
Faculté des sciences économiques  
Date issued
December 2010
In
2010 International Conference of Soft Computing and Pattern Recognition
From page
23
To page
28
Reviewed by peer
true
Subjects
fuzzy inference system fuzzy clustering forensic data computational intelligence
Abstract
In this paper we describe a methodology and an automatic procedure for inferring accurate and easily understandable expert-system-like rules from forensic data. This methodology is based on the fuzzy set theory. The algorithms we used are described in detail, and were tested on forensic data sets. We also present in detail some examples, which are representative for the obtained results.
Event name
International Conference of Soft Computing and Pattern Recognition
Location
Cergy-Pontoise, France
Publication type
conference paper
Identifiers
https://libra.unine.ch/handle/20.500.14713/21799
DOI
10.1109/SOCPAR.2010.5685848
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