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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