A New Simulation Framework for Analyzing Neutrosophic Data in Experimental Design

Authors

  • Muhammad Aslam Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia https://orcid.org/0000-0003-0644-1950
  • Nasrullah Khan Department of Statistics and Auctorial Science, University of the Punjab, Lahore
  • Florentin Smarandache Mathematics, Physics, and Natural Science Division, University of New Mexico Gallup, NM, USA

DOI:

https://doi.org/10.37256/cm.6520257469

Keywords:

simulation, interval-data, classical statistics, uncertainty, p-value

Abstract

A recent simulation-based classical analysis has been developed for interval data. However, a review of the literature indicates that these existing simulations have notable limitations and fail to conform to the neutrosophic statistical framework. In this paper, we propose a novel simulation process designed to analyze neutrosophic data within an appropriate and rigorous neutrosophic framework. We demonstrate that the proposed simulation is more comprehensive and aligns closely with the principles of neutrosophic theory. The results will be obtained through simulation and compared with those of existing methods, with the expectation that the proposed approach provides substantial improvements and is better suited for analyzing neutrosophic data.

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Published

2025-08-29