Research Article

Random Fuzzy Granular Decision Tree

Algorithm 3

Pruning of RFGDT.
Input: fuzzy granular decision tree and parameter
Output: pruned subtree
(1) Calculate the empirical entropy of each node
(2) Recursively retract upward from the leaf nodes of the tree.
 Suppose that the whole tree before and after a group of leaf nodes retract to its parent node is and , and the corresponding cost function values are and .
(3) If , pruning is executed, that is, to change the parent node into a new leaf node.
(4) Return to Step 2 until it cannot continue, and get the subtree with the smallest cost function