Research Article
An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques
Table 6
Results of the IT2PE validation index to Wine dataset clustering using IT2FPCM and IT2FCM algorithm with
= [1.5, 2] and
= [1.5, 2.5] as parameters.
| Index of validation IT2PE | Dataset | Clusters | IT2FPCM | IT2FCM | Defuzz | Lower | Upper | Defuzz | Lower | Upper |
| Wine | 2 | 0.14977 | 0.12509 | 0.17446 | 0.15006 | 0.12522 | 0.17491 | 3 | 0.26280 | 0.21554 | 0.31007 | 0.26287 | 0.21547 | 0.31028 | 4 | 0.28775 | 0.22242 | 0.35308 | 0.28769 | 0.22226 | 0.35311 | 5 | 0.33984 | 0.25551 | 0.42417 | 0.34005 | 0.25549 | 0.42461 | 6 | 0.36657 | 0.27738 | 0.45575 | 0.34110 | 0.25173 | 0.43048 | 7 | 0.33464 | 0.24323 | 0.42605 | 0.35228 | 0.25489 | 0.44966 | 8 | 0.34198 | 0.24496 | 0.43900 | 0.37465 | 0.26445 | 0.48484 | 9 | 0.36397 | 0.25674 | 0.47120 | 0.36531 | 0.25761 | 0.47300 | 10 | 0.39186 | 0.27080 | 0.51292 | 0.39213 | 0.27098 | 0.51328 |
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