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Table 7 Comparison of best feature categorization, 2-level input membership functions

From: A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise

Rank order

Scenario 1: 1000 subsets

Scenario 2: 200,000 subsets

Feature

Crisp output

Feature

Crisp output

1

15

0.891666667

22

0.881925144

2

95

0.891666667

21

0.874986572

3

182

0.891666667

4

0.869815795

4

22

0.881298879

417

0.863758421

5

330

0.881298879

42

0.863278371

6

108

0.813182504

156

0.858847362

7

129

0.733510773

12

0.846923559

8

138

0.733510773

95

0.845564336

9

370

0.733510773

6

0.829632339

10

68

0.711872842

47

0.814060738

11

107

0.711872842

230

0.753711779

12

159

0.711872842

125

0.73260824

13

169

0.711872842

82

0.707993795

14

226

0.711872842

201

0.69445375

15

386

0.711872842

28

0.684691585