A New Hybrid Model Based on Triple Exponential Smoothing and Fuzzy Time Series for Forecasting Seasonal Time Series

  • A. J. Saleena
  • C. Jessy John
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 307)


Triple exponential smoothing is one of the prominent linear models for seasonal time series forecasting. Fuzzy time series forecasting is originated as a new advent for forecasting the data which is imprecise and vague. In this work, we proposed a methodology using both triple exponential smoothing and fuzzy time series. It has the advantage of modelling aspects in linear and non-linear setup. Empirical results with real-world data sets show that the hybrid model is an efficient one based on forecasting accuracy than the component models used individually.


Fuzzy time series Hybrid Triple exponential smoothing 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • A. J. Saleena
    • 1
  • C. Jessy John
    • 1
  1. 1.Department of MathematicsNational Institute of Technology CalicutKozhikodeIndia

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