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

Table 19

Results of the IT2XB 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 IT2XB
Dataset	Clusters	IT2FPCM			IT2FCM
		Defuzz	Lower	Upper	Defuzz	Lower	Upper
Abalone	2	0.12162	0.08980	0.15344	0.12160	0.08980	0.15340
	3	0.15659	0.08965	0.22353	0.15651	0.08964	0.22338
	4	0.14604	0.06983	0.22224	0.14592	0.06982	0.22202
	5	0.19353	0.08216	0.30489	0.19328	0.08212	0.30445
	6	0.18472	0.07469	0.29474	0.18444	0.07514	0.29374
	7	0.18783	0.07297	0.30269	0.18551	0.07230	0.29873
	8	0.23117	0.08481	0.37753	0.23847	0.08663	0.39030
	9	0.34175	0.11190	0.57161	0.34974	0.11459	0.58489
	10	0.32883	0.10652	0.55115	0.32309	0.10437	0.54182