A new method of time series forecasting using intuitionistic fuzzy set based on average-length

References

• Zadeh LA. Fuzzy Sets. Inf Control. 1965;8(3):338–353.
   Google Scholar
• Atanassov K. Intuitionistic Fuzzy Sets. Fuzzy Sets Syst. 1986;20(1):87–96.
   Web of Science ®Google Scholar
• Song Q, Chissom BS. Forecasting Enrollments with Fuzzy Time series-Part I. Fuzzy Sets Syst. 1993;54(1):1–9.
   Web of Science ®Google Scholar
• Song Q, Chissom BS. Forecasting Enrollments with Fuzzy Time series-Part II. Fuzzy Sets Syst. 1994;62(1):1–8.
   Web of Science ®Google Scholar
• Chen SM. Forecasting Enrollments Based on Fuzzy Time Series. Fuzzy Sets Syst. 1996;81(3):311–319.
   Web of Science ®Google Scholar
• Chen SM, Hwang JR. Temperature Prediction Using Fuzzy Time Series. IEEE Trans Syst Man Cybern. 2000;30(2):263–275.
   PubMed Web of Science ®Google Scholar
• Lee HS, Chou MT. Fuzzy Forecasting Based on Fuzzy Time Series. Int J Comput Math. 2004;81(3):781–789.
   Google Scholar
• Singh SR. A Simple Method of Forecasting Based on Fuzzy Time Series. Appl Math Comput. 2007;186(1):330–339.
   Web of Science ®Google Scholar
• Huarng KH. Effective Lengths of Intervals to Improve Forecasting in Fuzzy Time Series. Fuzzy Sets Syst. 2001;123(3):387–394.
   Web of Science ®Google Scholar
• Singh SR. A Computational Method of Forecasting Based on Fuzzy Time Series. Math Comput Simul. 2008;79(3):539–554.
   Web of Science ®Google Scholar
• Joshi BP, Kumar S. A Computational Method for Fuzzy Time Series Forecasting Based on Difference Parameters. Int J Mod Simul Sci Comput. 2013;4(1):1250023–1250034.
   Google Scholar
• Yolcu U, Egrioglu E, Uslu VR, et al. A New Approach for Determining the Length of Intervals for Fuzzy Time Series. Appl Soft Comput. 2009;9(2):647–651.
   Web of Science ®Google Scholar
• Chou MT. Long Term Predictive Value Interval with the Fuzzy Time Series. J Marine Sci Technol. 2011;19(5):509–513.
   Web of Science ®Google Scholar
• Joshi BP, Kumar S. Intuitionistic Fuzzy Sets Based Method for Fuzzy Time Series Forecasting. Cybern Syst. 2012;43(1):34–47.
   Web of Science ®Google Scholar
• Abhishekh, Gautam SS, Singh SR. A Refined Method of Forecasting Based on High-order Intuitionistic Fuzzy Time Series Data. Prog Artif Intell. 2018;7(4):339–350.
   Web of Science ®Google Scholar
• Kumar S, Gangwar SS. Intuitionistic Fuzzy Time Series: an Approach for Handling Nondeterminism in Time Series Forecasting. IEEE Trans Fuzzy Syst. 2015;24(6):1270–1281.
   Web of Science ®Google Scholar
• Bisht K, Kumar S. Fuzzy Time Series Forecasting Method Based on Hesitant Fuzzy Sets. Expert Syst Appl. 2016;64:557–568.
   Web of Science ®Google Scholar
• Jiang P, Dong Q, Li P, et al. A Novel High-order Weighted Fuzzy Time Series Model and Its Application in Nonlinear Time Series Prediction. Appl Soft Comput. 2017;55:44–62.
   Web of Science ®Google Scholar
• Abhishekh, Gautam SS, Singh SR. A Refined Weighted Method for Forecasting Based on Type 2 Fuzzy Time Series. Int J Model Simulat. 2018;38(3):180–188.
   Google Scholar
• Abhishekh, Kumar S. A Computational Method for Rice Production Forecasting Based on High-order Fuzzy Time Series. Int J Fuzzy Math Arch. 2017;13:145–157.
   Google Scholar
• Abhishekh, Kumar S. Handling Higher Order Time Series Forecasting Approach in Intuitionistic Fuzzy Environment. J Control Decis. 2019;1–18. DOI:10.1080/23307706.2019.1591310
   Google Scholar
• Abhishekh, Gautam SS, Singh SR. A New Type 2 Fuzzy Time Series Forecasting Model Based on Three-factors Fuzzy Logical Relationships. Int J Uncertainty Fuzziness Knowledge Based Syst. 2019;27(2):251–276.
   Web of Science ®Google Scholar
• Abhishekh, Gautam SS, Singh SR. A Score Function Based Method of Forecasting Using Intuitionistic Fuzzy Time Series. New Math Nat Comput. 2018;14(1):91–111.
   Web of Science ®Google Scholar
• Gautam SS, Abhishekh. A Novel Moving Average Forecasting Approach Using Fuzzy Time Series Data Set. Int J Control Autom Syst. 2019;30(4):532–544.
   Web of Science ®Google Scholar
• Jurio A, Paternain H, Guerra C, et al. A Construction Method of Atanassov’s Intuitionistic Fuzzy Sets for Image Processing. Proceedings of the IEEE International Conference paper presented at the Intelligent Systems (IS); 2010 Jul 7–9; London.
   Google Scholar
• Xu ZS, Yager RR. Some Geometric Aggregation Operators Based on Intuitionistic Fuzzy Sets. Int J Gen Syst. 2006;35(4):417–433.
   Web of Science ®Google Scholar
• Xu ZS. Intuitionistic Fuzzy Aggregation Operators. IEEE Trans Fuzzy Syst. 2007;15(6):1179–1187.
   Web of Science ®Google Scholar