  The Choquet integral is a tool for the information fusion that is very
effective in the case where fuzzy measures associated with it are well chosen.
In this paper,we propose a new approach for calculating fuzzy measures
associated with the Choquet integral in a context of data fusion in multimodal
biometrics. The proposed approach is based on genetic algorithms. It has been
validated in two databases: the first base is relative to synthetic scores and
the second one is biometrically relating to the face, fingerprintand palmprint.
The results achieved attest the robustness of the proposed approach.
