An experimental study on relationship between pruning algorithms and selection of parameters in fuzzy decision tree generation

It is important to study the relationship between pruning algorithms and the selection of parameters in fuzzy decision tree generation for controlling the tree size. This paper selects a pruning algorithm and a method of fuzzy decision tree generation to experimentally show the relationship for some existing databases. It aims to give some guidelines for how to select an appropriate parametric value in fuzzy decision tree generation. When a suitable parametric value is selected, the pruning for fuzzy decision tree generation seems to be unnecessary.