ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
A Neutrosophic Set Theory Based Approach for Time Series Forecasting
Authors
Sanjeev Kumar Singh
Keywords
Uncertainty; Neutrosophic set; Fuzzy set; Time series forecasting.
Abstract
This article introduces a new model to forecast the time series data set, which is exclusively based on the neutrosophic set (NS) theory. The main objective of employing the NS theory in time series data set is that it can represent the uncertainty associated with them into three different memberships, as: truth, indeterminacy and falsity. In this study, this representation of time series data set is named as a neutrosophic time series (NTS). The proposed NTS approach is applied in forecasting the time series data set. The proposed approach has been verified and validated with benchmark data sets. Various comparative studies demonstrate the adequacy of the proposed model in forecasting the time series data set.
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IJRTI — journal style
"A Neutrosophic Set Theory Based Approach for Time Series Forecasting", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 12, page no.b127-b134, December-2025, Available :https://ijrti.org/papers/IJRTI2512113.pdf
APA — 7th edition
Singh, S. K. (2025). A Neutrosophic Set Theory Based Approach for Time Series Forecasting. International Journal for Research Trends and Innovation, 10(12), b127-b134. https://doi.org/10.56975/ijrti.v10i12.208618
MLA — 9th edition
Singh, Sanjeev Kumar. "A Neutrosophic Set Theory Based Approach for Time Series Forecasting." International Journal for Research Trends and Innovation, vol. 10, no. 12, 2025, pp. b127-b134, https://doi.org/10.56975/ijrti.v10i12.208618.
Chicago — 17th, bibliography
Singh, Sanjeev Kumar. "A Neutrosophic Set Theory Based Approach for Time Series Forecasting." International Journal for Research Trends and Innovation 10, no. 12 (2025): b127-b134. https://doi.org/10.56975/ijrti.v10i12.208618.
Harvard — author–date
Singh, S.K. (2025) 'A Neutrosophic Set Theory Based Approach for Time Series Forecasting', International Journal for Research Trends and Innovation, 10(12), pp. b127-b134. Available at: https://doi.org/10.56975/ijrti.v10i12.208618
IEEE — numbered reference
S. K. Singh, "A Neutrosophic Set Theory Based Approach for Time Series Forecasting," IJRTI, vol. 10, no. 12, pp. b127-b134, Dec. 2025, doi: 10.56975/ijrti.v10i12.208618.
Vancouver — biomedical
Singh SK. A Neutrosophic Set Theory Based Approach for Time Series Forecasting. IJRTI. 2025 Dec;10(12):b127-b134. doi: 10.56975/ijrti.v10i12.208618
AMA — 11th edition
Singh SK. A Neutrosophic Set Theory Based Approach for Time Series Forecasting. IJRTI. 2025;10(12):b127-b134. doi:10.56975/ijrti.v10i12.208618
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2512113,
author = {Sanjeev Kumar Singh},
title = {A Neutrosophic Set Theory Based Approach for Time Series Forecasting},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {12},
pages = {b127-b134},
year = {2025},
month = {December},
issn = {2456-3315},
doi = {10.56975/ijrti.v10i12.208618},
url = {https://doi.org/10.56975/ijrti.v10i12.208618}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Singh, Sanjeev Kumar
TI - A Neutrosophic Set Theory Based Approach for Time Series Forecasting
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 12
PY - 2025
SN - 2456-3315
DO - 10.56975/ijrti.v10i12.208618
UR - https://doi.org/10.56975/ijrti.v10i12.208618
SP - b127-b134
ER -
Issue
Volume 10 Issue 12,
December-2025
Pages : b127-b134
Other Publication Details
Paper Reg. ID
IJRTI_208618
Published Paper ID
IJRTI2512113
Downloads
205,625
Research Area
Mathematics
Country
Ri-Bhoi, Meghalaya, India
Published
December 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2512113.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2512113
CrossRef DOI
https://doi.org/10.56975/ijrti.v10i12.208618
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About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
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Impact Factor
2016
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
