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Open AccessArticle

A Refined Approach for Forecasting Based on Neutrosophic Time Series

by 1,*, 2, 1 and 3
1
Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Sharqiyah 44519, Egypt
2
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK
3
Mathematics Department, University of New Mexico, Gallup, NM 87301, USA
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(4), 457; https://doi.org/10.3390/sym11040457
Received: 3 February 2019 / Revised: 15 March 2019 / Accepted: 26 March 2019 / Published: 1 April 2019
This research introduces a neutrosophic forecasting approach based on neutrosophic time series (NTS). Historical data can be transformed into neutrosophic time series data to determine their truth, indeterminacy and falsity functions. The basis for the neutrosophication process is the score and accuracy functions of historical data. In addition, neutrosophic logical relationship groups (NLRGs) are determined and a deneutrosophication method for NTS is presented. The objective of this research is to suggest an idea of first-and high-order NTS. By comparing our approach with other approaches, we conclude that the suggested approach of forecasting gets better results compared to the other existing approaches of fuzzy, intuitionistic fuzzy, and neutrosophic time series. View Full-Text
Keywords: neutrosophic time series; triangular neutrosophic number; neutrosophic logical relationship; neutrosophic logical relationship groups neutrosophic time series; triangular neutrosophic number; neutrosophic logical relationship; neutrosophic logical relationship groups
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MDPI and ACS Style

Abdel-Basset, M.; Chang, V.; Mohamed, M.; Smarandache, F. A Refined Approach for Forecasting Based on Neutrosophic Time Series. Symmetry 2019, 11, 457. https://doi.org/10.3390/sym11040457

AMA Style

Abdel-Basset M, Chang V, Mohamed M, Smarandache F. A Refined Approach for Forecasting Based on Neutrosophic Time Series. Symmetry. 2019; 11(4):457. https://doi.org/10.3390/sym11040457

Chicago/Turabian Style

Abdel-Basset, Mohamed; Chang, Victor; Mohamed, Mai; Smarandache, Florentin. 2019. "A Refined Approach for Forecasting Based on Neutrosophic Time Series" Symmetry 11, no. 4: 457. https://doi.org/10.3390/sym11040457

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