Completing an uncertainty criterion of classification

We present a variation of a method of classification based in uncertainty
on credal set. Similarly to its origin it use the imprecise Dirichlet model to
create the credal set and the same uncertainty measures. It take into account
sets of two variables to reduce the uncertainty and to seek the direct relations
between the variables in the data base and the variable to be classified. The
success are equivalent to the success of the first method except in those where
there are a direct relations between some variables that decide the value of
the variable to be classified where we have a notable improvement.