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Table 4 Accuracy and interpretability measures

From: A new approach for tuning interval type-2 fuzzy knowledge bases using genetic algorithms

Parameter

E1

E2

E3

E4

Accuracy

    

 MSE

0.121

0.112

0.117

0.092

 RMSE

0.491

0.474

0.483

0.428

Interpretability

    

 NI

0.016

0.016

0.009

0.016

 ARL

2.839

2.773

2.69

2.652

 NOR

31

22

42

23

 TRL

88

61

113

61

 AIFR

3.902

4.964

6.199

4.075

  1. MSE, mean square error; RMSE, root-mean-square error; NI, Nauck's index; ARL, average rule length; NOR, number of rules; TRL, total rule length; AIFR, average inferential fired rule.