Approach for weighted continuous multivariate decision tree

In this paper, fuzzy aggregation theory and rough set theory are firstly used to deal with selection of a continuous multivariate distribution. Secondly, the clustering algorithm is used to construct the standard ranking to solve the extend partition of continuous multivariate data. Thirdly, the concept of generalization of one equivalence relation is introduced to construct the multivariate test in the decision tree. An example is given to make clear that this method is feasible.