Journal of Big Data

Table 2 Random numbers from NUD when \({a}_{NS}\)=15 and \({b}_{NS}\)=20

From: Algorithm for generating neutrosophic data using accept-reject method

\({u}_{N1}\)	\({u}_{N2}\)	\({I}_{NS}\)
\({u}_{N1}\)	\({u}_{N2}\)	0	0.1	0.2	0.3	0.4	0.5	0.6	0.7	0.8	0.9	1
0.11	0.28	15.53	15.49	15.44	15.41	15.38	15.36	15.33	15.31	15.30	15.28	15.27
0.30	0.50	16.49	16.35	16.24	16.14	16.06	15.99	15.93	15.88	15.83	15.78	15.74
0.35	0.59	16.74	16.58	16.45	16.34	16.24	16.16	16.09	16.02	15.97	15.92	15.87
0.78	0.56	18.88	18.53	18.23	17.99	17.77	17.59	17.43	17.28	17.16	17.04	16.94
0.14	0.28	15.71	15.64	15.59	15.54	15.50	15.47	15.44	15.41	15.39	15.37	15.35
0.85	0.33	19.25	18.86	18.54	18.27	18.04	17.83	17.66	17.50	17.36	17.24	17.12
0.67	0.52	18.33	18.02	17.77	17.56	17.38	17.22	17.08	16.96	16.85	16.75	16.66
0.15	0.20	15.77	15.70	15.64	15.59	15.55	15.52	15.48	15.45	15.43	15.41	15.39
0.18	0.48	15.89	15.81	15.74	15.69	15.64	15.59	15.56	15.52	15.50	15.47	15.45
0.87	0.61	19.35	18.95	18.62	18.34	18.10	17.90	17.72	17.56	17.41	17.29	17.17
0.76	0.02	18.81	18.46	18.17	17.93	17.72	17.54	17.38	17.24	17.12	17.00	16.90
0.61	0.75	18.05	17.77	17.54	17.34	17.18	17.03	16.90	16.79	16.69	16.60	16.52
0.67	0.28	18.37	18.06	17.81	17.59	17.41	17.24	17.10	16.98	16.87	16.77	16.68
0.06	0.88	15.28	15.25	15.23	15.21	15.20	15.18	15.17	15.16	15.15	15.15	15.14
0.44	0.92	17.19	16.99	16.83	16.68	16.56	16.46	16.37	16.29	16.22	16.15	16.10

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