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Based on the trained network, the relative importance, relative contribution ratio and comprehensive discrimination index of each criterion are calculated through Equations (13), (15) and (17). Then, the initial criteria are selected according to the proposed threshold value, the results of criteria selection are listed in Table 3. Furthermore, the sensitivity analysis is implemented, and the relative changes of the closeness coefficient against the relative changes of the criteria values are plotted as sensitivity curves in Figure 4.

Table 3

Results of criteria selection

	Z_ch–Z_max	Z_e–Z_id	W_ab	Q_max	T	W_ex	Z_f	Q_f	S_l	Q_sd
	0.346	0.030	0.021	0.062	0.036	0.325	0.248	0.293	0.037	0.024
	16.51%	3.50%	7.41%	24.80%	4.70%	5.41%	12.92%	14.91%	3.80%	6.04%
	0.519	−1.217	−1.046	−0.051	−1.010	0.007	0.268	0.402	−1.090	−1.077
Decision	Select	Delete	Delete	Select	Delete	Select	Select	Select	Delete	Delete

	Z_ch–Z_max	Z_e–Z_id	W_ab	Q_max	T	W_ex	Z_f	Q_f	S_l	Q_sd
	0.346	0.030	0.021	0.062	0.036	0.325	0.248	0.293	0.037	0.024
	16.51%	3.50%	7.41%	24.80%	4.70%	5.41%	12.92%	14.91%	3.80%	6.04%
	0.519	−1.217	−1.046	−0.051	−1.010	0.007	0.268	0.402	−1.090	−1.077
Decision	Select	Delete	Delete	Select	Delete	Select	Select	Select	Delete	Delete

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Figure 4

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Sensitivity analysis of closeness coefficient to the 10 criteria.

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