Granular Computing Classification Algorithms Based on Distance Measures between Granules from the View of Set

Algorithm 2

Testing algorithm.

Input: inputs of unknown datum 𝑥, granule set GS, the

class label lab

Output: class label of 𝑥

(S1) 𝑥 is represented as granule 𝑔

(S2) for 𝑖=1: |GS|

(S3) compute the distance 𝑑_𝑖 between 𝑔 and 𝑔_𝑖 in GS

(S4) find the minimal distance 𝑑_𝑚

(S5) find the corresponding class label of the 𝑔_𝑚 as the

label of 𝑥