[Retracted] A Double-Layered Belief Rule Base Model for Driving Anger Detection Using Human, Vehicle, and Environment Characteristics: A Naturalistic Experimental Study

Table 7

The trained belief rule base of BRB subsystem 4.

Rule ID	Input U (intermediate variable) attribute weight 0.934 1 0.968				Output y (belief degree)
	Rule weight				Ang_N	Ang_L	Ang_M	Ang_H
1	0.9745	1	1	1	0.9925	0.0047	0.0025	0.0003
2	0.8742	1	1	2	0.7903	0.2084	0.0013	0.0000
3	0.8063	1	1	3	0.6900	0.2134	0.0933	0.0033
4	0.7551	1	2	1	0.6114	0.2981	0.0804	0.0001
5	0.7264	1	2	2	0.5093	0.2906	0.2001	0.0000
6	0.5552	1	2	3	0.4987	0.2047	0.1976	0.0990
7	0.4327	1	3	1	0.4128	0.3896	0.1072	0.0904
8	0.1685	1	3	2	0.3884	0.3125	0.1976	0.1015
9	0.3745	1	3	3	0.2124	0.3842	0.3142	0.0892
10	0.7264	2	1	1	0.4137	0.2817	0.3045	0.0001
11	0.5572	2	1	2	0.3125	0.3032	0.3019	0.0824
12	0.4613	2	1	3	0.2826	0.3216	0.2105	0.1853
13	0.4482	2	2	1	0.2256	0.4125	0.2753	0.0866
14	0.6164	2	2	2	0.1196	0.1316	0.3763	0.3725
15	0.7735	2	2	3	0.0015	0.1147	0.2872	0.5966
16	0.6981	2	3	1	0.0023	0.1873	0.4316	0.3788
17	0.7762	2	3	2	0.0046	0.0792	0.3247	0.5915
18	0.8614	2	3	3	0.0032	0.0041	0.2879	0.7048
19	0.4867	3	1	1	0.1145	0.2236	0.2974	0.3645
20	0.7786	3	1	2	0.0963	0.0842	0.2771	0.5424
21	0.6582	3	1	3	0.0074	0.1854	0.3882	0.4190
22	0.6963	3	2	1	0.0043	0.2352	0.2744	0.4861
23	0.4345	3	2	2	0.0172	0.2163	0.1882	0.5783
24	0.6625	3	2	3	0.0094	0.1125	0.1859	0.6922
25	0.5936	3	3	1	0.0015	0.0083	0.2305	0.7597
26	0.7652	3	3	2	0.0019	0.0026	0.1348	0.8607
27	0.9884	3	3	3	0.0003	0.0012	0.0043	0.9942