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In this paper, we propose to learn sources independence in order to choosethe appropriate type of combination rules when aggregating their beliefs. Somecombination rules are used with the assumption of their sources independencewhereas others combine beliefs of dependent sources. Therefore, the choice ofthe combination rule depends on the independence of sources involved in thecombination. In this paper, we propose also a measure of independence, positiveand negative dependence to integrate in mass functions before the combinaisionwith the independence assumption.

Consid{\'e}rant la d{\'e}pendance dans la th{\'e}orie des fonctions de croyance