Branch Mathematics and Statistics Faculty and Staff Publications

Document Type

Article

Publication Date

2025

Abstract

Neutrosophic statistical analysis has gained attention for incorporating the degree of indeterminacy when analyzing imprecise and interval data under uncertainty—an aspect often overlooked by classical statistics, fuzzy statistical analysis, and interval statistics. Recently, critical discussions have emerged regarding the use and applications of neutrosophic statistics, with some questioning its usefulness and validity. In this paper, we present a critical assessment of the existing literature, focusing on areas where misunderstandings and misinterpretations of neutrosophic statistical methods have occurred. We also examine flawed comparisons made between the results of neutrosophic statistics and interval statistics. Furthermore, substantial issues have been identified in the current simulation, both in its application and in the comparison of results. The objective of this paper is to highlight these key concerns and provide clarity for researchers working in this area, helping them to better understand the appropriate applications of neutrosophic statistical methods.

Language (ISO)

English

Keywords

Classical statistics, interval-statistics, simulation, neutrosophic data, interval-data

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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