Journal of Big Data

Table 5 Random numbers from NWD when \(\alpha =2\) and \(\beta =1.50\)

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
0.1946	0.5075	0.7208	0.6717	0.6303	0.5947	0.5637	0.5365	0.5123	0.4907	0.4713	0.4537	0.4376
0.1403	0.2019	0.5676	0.5301	0.4982	0.4708	0.4468	0.4257	0.4069	0.3901	0.3749	0.3611	0.3485
0.1072	0.6891	0.4684	0.4380	0.4121	0.3897	0.3702	0.3529	0.3375	0.3237	0.3112	0.2999	0.2895
0.8911	0.8086	1.2212	0.9224	0.7230	0.5827	0.4800	0.4025	0.3425	0.2951	0.2570	0.2258	0.2000
0.8834	0.0830	3.3305	2.7644	2.4217	2.1800	1.9959	1.8491	1.7282	1.6263	1.5388	1.4626	1.3955
0.2193	0.1400	0.7884	0.7339	0.6880	0.6487	0.6145	0.5846	0.5580	0.5343	0.5130	0.4936	0.4760
0.3930	0.5098	1.2587	1.1606	1.0800	1.0121	0.9542	0.9039	0.8598	0.8208	0.7860	0.7546	0.7262
0.4797	0.6271	1.5058	1.3794	1.2772	1.1925	1.1207	1.0590	1.0053	0.9580	0.9159	0.8782	0.8441
0.2676	0.1190	0.9188	0.8533	0.7985	0.7517	0.7113	0.6759	0.6446	0.6168	0.5917	0.5691	0.5485
0.6454	0.1619	2.0488	1.8417	1.6829	1.5558	1.4512	1.3630	1.2875	1.2218	1.1641	1.1128	1.0670

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