A Novel Traffic Flow Forecasting Method Based on RNN-GCN and BRB

Table 4

Belief rule table.

Serial number	Rule weight
1	1	Z	VL	{0, 0, 0, 1}
2	1	Z	L	{0, 0, 0.2, 0.8}
3	1	Z	M	{0, 0.1, 0.3, 0.6}
4	1	Z	LS	{0.1, 0.5, 0.2, 0.2}
5	1	Z	S	{0.8, 0.2, 0, 0 }
6	1	Z	Z	{1, 0, 0, 0}
7	1	VS	VL	{0, 0, 0, 1}
8	1	VS	L	{0, 0, 0.35, 0.65}
9	1	VS	M	{0.1, 0.2, 0.5, 0.2}
10	1	VS	LS	{0.15, 0.25, 0.45, 0.15}
11	1	VS	S	{0.7, 0.2, 0.1, 0 }
12	1	VS	Z	{1, 0, 0, 0 }
13	1	S	VL	{0, 0, 0, 1}
14	1	S	L	{0, 0, 0.4, 0.6}
15	1	S	M	{0.15, 0.25, 4, 0.1}
16	1	S	LS	{0.3, 0.4, 0.2, 0.1}
17	1	S	S	{0.5, 0.3, 0.1, 0.1}
18	1	S	Z	{1, 0, 0, 0}
19	1	LS	VL	{0, 0, 0, 1}
20	1	LS	L	{0.3, 0.3, 0.2, 0.2}
21	1	LS	M	{0.35, 0.3, 0.25, 0.1}
22	1	LS	LS	{0.4, 0.2, 0.35, 0.15}
23	1	LS	S	{0.5, 0.35, 0.1, 0.05}
24	1	LS	Z	{1, 0, 0, 0}
25	1	M	VL	{0, 0, 0, 1}
26	1	M	L	{0.2, 0.3, 0.3, 0.2 }
27	1	M	M	{0.35, 0.3, 0.3, 0.05}
28	1	M	LS	{0.35, 0.45, 0.2, 0}
29	1	M	S	{0.45, 0.4, 0.15, 0}
30	1	M	Z	{1, 0, 0, 0}
31	1	LL	VL	{0, 0, 0, 1 }
32	1	LL	L	{0.2, 0.3, 0.2, 0.3}
33	1	LL	M	{0.35, 0, 0.35, 0.3}
34	1	LL	LS	{0.45, 0.3, 0, 0.25}
35	1	LL	S	{0.55, 0.2, 0.25, 0}
36	1	LL	Z	{1, 0, 0, 0 }
37	1	L	VL	{0, 0, 0, 1 }
38	1	L	L	{0.3, 0.35, 0.25, 0.1 }
39	1	L	M	{0.45, 0.4, 0, 0.15}
40	1	L	LS	{0.45, 0.4, 0.15, 0}
41	1	L	S	{0.65, 0.3, 0, 0.05 }
42	1	L	Z	{1, 0, 0, 0}
43	1	VL	VL	{0, 0, 0, 1}
44	1	VL	L	{0.35, 0.4, 0.2, 0.05}
45	1	VL	M	{0.55, 0.45, 0, 0}
46	1	VL	LS	{0.75, 0.2, 0.05, 0}
47	1	VL	S	{0.9, 0.1, 0, 0}
48	1	VL	Z	{1, 0, 0, 0 }