Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2025
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.
Language (ISO)
English
Keywords
Simulation, interval-data, classical statistics, uncertainty, p-value
Recommended Citation
Aslam, Muhammad; Nasrullah Khan; and Florentin Smarandache. "A New Simulation Framework for Analyzing Neutrosophic Data in Experimental Design." (2025). https://digitalrepository.unm.edu/math_fsp/821
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.