A New Simulation Framework for Analyzing Neutrosophic Data in Experimental Design

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.

Authors

Institutions

Publication Details

Journal
Contemporary Mathematics
Published
2025-08-29
DOI
https://doi.org/10.37256/cm.6520257469
Citations
1
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A New Simulation Framework for Analyzing Neutrosophic Data in Experimental Design

Nasrullah Khan, Muhammad Aslam, Florentin Smarandache
1 citations
Contemporary Mathematics
Optimization and Mathematical Programming
1.21
article

A New Simulation Framework for Analyzing Neutrosophic Data in Experimental Design

Nasrullah Khan, Muhammad Aslam, Florentin Smarandache
article en
1 citations

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.

Contemporary Mathematics
University of the Punjab (PK), King Abdulaziz University (SA), Gallup Indian Medical Center (US)
Openalex Percentile: Top 17%
Optimization and Mathematical Programming
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.