Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Very often, huge uncertain information exists in multi-dimension multi-objective fuzzy optimum dynamic programming. Failure to take into consideration of this uncertain information will often lead to ...