A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification

Table 8

Tukey test and Dunnett test.

	(I) Algo	(J) Algo	Mean difference (I-J)	Std. error	Sig.	95% confidence interval
						Lower bound	Upper bound
Tukey HSD	ANN	NF	−3.457	3.54797	0.765	−13.0125	6.0985
		ANN-FR	−5.015	3.54797	0.499	−14.5705	4.5405
		NF-FR	−6.104	3.54797	0.328	−15.6595	3.4515
	NF	ANN	3.457	3.54797	0.765	−6.0985	13.0125
		ANN-FR	−1.558	3.54797	0.971	−11.1135	7.9975
		NF-FR	−2.647	3.54797	0.878	−12.2025	6.9085
	ANN-FR	ANN	5.015	3.54797	0.499	−4.5405	14.5705
		NF	1.558	3.54797	0.971	−7.9975	11.1135
		NF-FR	−1.089	3.54797	0.99	−10.6445	8.4665
	NF-FR	ANN	6.104	3.54797	0.328	−3.4515	15.6595
		NF	2.647	3.54797	0.878	−6.9085	12.2025
		ANN-FR	1.089	3.54797	0.99	−8.4665	10.6445
Dunnett t (2-sided)^a	ANN	NF-FR	−6.104	3.54797	0.221	−14.8041	2.5961
	NF	NF-FR	−2.647	3.54797	0.798	−11.3471	6.0531
	ANN-FR	NF-FR	−1.089	3.54797	0.98	−9.7891	7.6111

Means for groups in homogeneous subsets are displayed. ^aDunnett t-tests treat one group as a control and compare all other groups against it.