aspg-21-311-1791468688 20261008141128 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2020 3 1 Rafif Alhabib * Department of Mathematical Statistics, Faculty of Science, Albaath University, Homs, Syria A. A. Salama Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Port Said, Egypt In this paper, were using moving averages to pave the Neutrosophic time series. similar to use moving averages to pave the classical time series. the difference, here were dealing with inaccurate data and values of the time series.in the Neutrosophic time series, each unit of time(t) corresponds to a range of values instead of a single value. Finally, we find that the Neutrosophic time series provide an accurate description of the behavior of the series better than in the classic. Therefore, can predict the future of the series as accurately as possible. 2020 14 20 311 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.030103 https://www.americaspg.com/journal/21/article/311 https://www.americaspg.com/storage/4044.pdf