Random Fuzzy Granular Decision Tree

Algorithm 4

RFGDT prediction.

	Input: test instance , root node of RFGDT, and cluster center set .
	Output: label of instance
(1)	Obtain fuzzy clustering granular vector .
(2)	Judge the path from the root node to the leaf node according to the feature value, and get the label according to the leaf node.