Research Article
Novel Information Measures for Fermatean Fuzzy Sets and Their Applications to Pattern Recognition and Medical Diagnosis
Table 1
Distance measures for Example
2
| | | | | | Classification results |
| | | 0.1829 | 0.4313 | 0.1137 | | | | 0.0504 | 0.0698 | 0.0272 | | | | 0.1167 | 0.2505 | 0.0704 | | | | 0.0956 | 0.2982 | 0.0638 | | | | 0.1738 | 0.4360 | 0.1169 | | | | 0.1746 | 0.4593 | 0.1200 | | | | 0.6334 | 0.7627 | 0.5214 | | | | 0.8745 | 0.9253 | 0.8486 | | | | 0.8698 | 0.9226 | 0.8360 | | | | 0.6233 | 0.7636 | 0.5184 | | | | 0.7167 | 0.8023 | 0.6902 | | | | 0.1483 | 0.3761 | 0.0699 | | | | 0.0599 | 0.1121 | 0.0212 | |
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