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Fuzzy methods for forensic data analysis
Date de parution
2010-12
In
2010 International Conference of Soft Computing and Pattern Recognition
De la page
23
A la page
28
Revu par les pairs
true
Résumé
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.
Nom de l'événement
International Conference of Soft Computing and Pattern Recognition
Lieu
Cergy-Pontoise, France
Identifiants
Type de publication
conference paper
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