Bagging of credal decision trees for imprecise classification.

•The paper presents a new method for imprecise classification.•The method uses bagging scheme with a new proposal for combining imprecise classifications.•To combine imprecise classifications a newfangled procedure is used.•The new method for imprecise classification outperforms the results of a single classifier.•An experimental study justifies the new method with excellents results.