Evaluation of Multimodal Transport in China Based on Hesitation Fuzzy Multiattribute Decision-Making

Table 4

Standardized decision matrix.

	(X1)	(X2)	(X3)	(X4)	(X5)	(X6)	(X7)	(X8)
Shanghai (A)	0.14	0.07	0.06	0.05	0.25	[0.30, 0.38]	[0.29, 0.37]	[0.26, 0.33]
Shandong (B)	0.57	0.43	0.80	0.08	0.50	[0.26, 0.34]	[0.29, 0.37]	[0.29, 0.38]
Jiangsu (C)	0.22	0.25	0.39	0.10	0.75	[0.26, 0.34]	[0.25, 0.33]	[0.29, 0.38]
Liaoning (D)	1.00	1.00	0.83	0.20	1.00	[0.30, 0.38]	[0.25, 0.33]	[0.29, 0.38]
Fujian (E)	0.15	0.19	0.45	0.09	0.25	[0.22, 0.30]	[0.25, 0.33]	[0.26, 0.33]
Guangdong (F)	0.39	0.12	0.59	0.11	0.75	[0.26, 0.34]	[0.29, 0.37]	[0.26, 0.33]
Guangxi (G)	0.27	0.86	0.72	0.23	0.25	[0.26, 0.34]	[0.22, 0.29]	[0.26, 0.33]
Hainan (H)	0.01	0.07	0.14	0.05	0.25	[0.22, 0.30]	[0.25, 0.33]	[0.22, 0.29]
Hebei (I)	0.18	0.96	1.00	0.13	0.75	[0.26, 0.34]	[0.25, 0.33]	[0.26, 0.33]
Tianjin (J)	0.31	0.40	0.16	1.00	0.25	[0.26, 0.34]	[0.29, 0.37]	[0.26, 0.33]
Zhejiang (K)	0.38	0.27	0.37	0.07	0.50	[0.30, 0.38]	[0.25, 0.33]	[0.26, 0.33]