A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information

Table 2

Decision information from expert e¹ and overall preference orderings on alternatives.

	C 1 (industry status)	C 2 (R&D investment)	C 3 (technological innovation)	C 4 (market prospect)	R ^1
S 1	3	[3.5, 4.0]	Bad	[t1, t2]	4
S 2	1	[3.8, 4.1]	Very good	[t2, t4]	2
S 3	2	[3.0, 3.5]	Excellent	[t2, t5]	1
S 4	5	[2.8, 3.5]	Bad	[t1, t3]	5
S 5	4	[3.2, 3.6]	Good	[t1, t3]	3