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

Table 5

Results of the IT2MPE-DMFP validation index to Wine dataset clustering using IT2FPCM and IT2FCM algorithm using = [1.5, 2] and η = [1.5, 2.5] as parameters.

Index of validation IT2MPE-DMFP
Dataset	Clusters	IT2FPCM			IT2FCM
		Defuzz	Lower	Upper	Defuzz	Lower	Upper
Wine	2	0.40744	0.41801	0.39686	0.40619	0.41684	0.39554
	3	0.40225	0.39940	0.40509	0.40445	0.40146	0.40744
	4	0.89656	0.87046	0.92267	0.89553	0.86964	0.92141
	5	1.08796	1.03901	1.13691	1.08502	1.03721	1.13282
	6	1.67907	1.51748	1.84066	1.90199	1.75824	2.04574
	7	1.84502	1.67461	2.01543	2.86659	2.63321	3.09998
	8	2.81205	2.54975	3.07434	1.68624	1.47369	1.89880
	9	3.47078	3.14652	3.79504	3.46131	3.13748	3.78513
	10	3.30712	2.92591	3.68834	3.30032	2.92011	3.68053