aspg-21-1515-1791468726 20261008141206 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2023 20 2 A. M. Mohamed Ibrahim Department of Business Administration, College of Sciences and the Human Sciences in Alaflaj Prince Sattam Bin Abdulaziz University, Saudi Arabia Zahid Khan Department of Mathematics, Hazara University Mansehra, Pakistan Fuad S. Al-Duais Mathematics Department, College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia; Business Administration Department, Administrative Scien The logistic distribution is widely used to model various types of applied data. The modified logistic distribution under neutrosophic statistics is introduced in this work. The neutrosophic logistic distribution (NLD) and its engineering applications are mainly emphasized. An appealing characteristic of the suggested NLD is that it is useful to many widely utilized survival assessment metrics, including the reliability function, hazard function, and survival function. Applications of some mathematical and statistical properties of the suggested model are discussed. Numerical investigations on simulated data are used to validate the theoretical findings experimentally. From an application point of view, it is inferred that the proposed distribution fits data with imprecise, hazy, and fuzzy information better than the usual model. In addition, the maximum likelihood (ML) technique for the proposed model is discussed under the neutrosophic inference framework. Eventually, some illustrative examples related to system reliability are provided to clarify further the implementation of the neutrosophic probabilistic model in real-world problems. 2023 27 39 1515 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.200203 https://www.americaspg.com/journal/21/article/1515 https://www.americaspg.com/storage/91676528167.pdf