Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure

Table 10

Table of comparison.

Number of inputs	Average deviation	Regression; coefficient R	Number of the weight coefficients
8 inputs	1.8134	0.97434	405
7 inputs without input 1	1.6327	0.9772	360
7 inputs without input 3	1.8525	0.97256	360
7 inputs without input 5	1.6903	0.9734	360
7 inputs without input 2	2.1142	0.96511	360
7 inputs without input 8	1.7735	0.97511	360
7 inputs without input 4	1.9913	0.96932	360
6 inputs without inputs 3, 5	1.7644	0.97089	315
6 inputs without inputs 1, 5	1.8759	0.97289	315
6 inputs without inputs 1, 3	1.5716	0.97881	315
6 inputs without inputs 2, 3	2.0716	0.96581	315
6 inputs without inputs 3, 8	1.9767	0.97213	315
6 inputs without inputs 3, 4	1.9792	0.97163	315
6 inputs without inputs 4, 8	2.0174	0.96959	315
5 inputs without inputs 1, 3, 5	1.857	0.97209	270
5 inputs without inputs 2,3, 8	2.0399	0.96713	270
5 inputs without inputs 3, 4, 8	2.0283	0.96695	270
4 inputs without inputs 1, 2, 4, 5	2.217	0.95858	225
4 inputs without inputs 2, 3, 4, 8	2.1989	0.95927	225