Research Article

An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques

Table 18

Results of the IT2PE validation index to Abalone dataset clustering using IT2FPCM and IT2FCM algorithm with = [1.5, 2.5] and = [1.5, 2.5] as parameters.

Index of validation IT2PE
DatasetClustersIT2FPCMIT2FCM
DefuzzLowerUpperDefuzzLowerUpper

Abalone20.280460.245610.315300.280880.245880.31587
30.415030.330560.499500.415550.330880.50022
40.513900.381260.646540.514510.381670.64735
50.588480.402960.774000.589100.403410.77479
60.654380.427980.880770.656450.428480.88441
70.725280.462660.987910.725300.462220.98837
80.771070.479841.062300.773560.481791.06533
90.798480.482021.114940.801400.484521.11828
100.812900.478041.147760.812510.477771.14725