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