This makes sense. In fact, to some extent, this can describe a random forest.
In a random forest many decision tree models are formed, each of which is built using a random subset of the variables. There are a lot of subtleties behind a random forest, but the general idea of creating an ensemble model from several decision trees, each using a different subset of variables makes sense.