An Improved Fuzzy Time Series Forecasting Model

  • Ha Che-Ngoc
  • Tai Vo-Van
  • Quoc-Chanh Huynh-Le
  • Vu Ho
  • Thao Nguyen-Trang
  • Minh-Tuyet Chu-Thi
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 760)

Abstract

This model is developed from the model of Abbasov and Mamedova (2003) in which the parameters are investigated by methods and algorithm to obtain the most suitable values for each data set. The experiments on Azerbaijan’s population, Vietnam’s population and Vietnam’s rice production demonstrate the feasibility and applicability of the proposed methods.

Keywords

Fuzzy time series Abbasov-Mamedova Population GDP Vietnam 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Ha Che-Ngoc
    • 1
  • Tai Vo-Van
    • 2
  • Quoc-Chanh Huynh-Le
    • 1
  • Vu Ho
    • 3
  • Thao Nguyen-Trang
    • 1
    • 4
  • Minh-Tuyet Chu-Thi
    • 1
    • 2
    • 3
    • 4
  1. 1.Faculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam
  2. 2.Department of MathematicsCan Tho UniversityCan ThoVietnam
  3. 3.Faculty of Mathematical EconomicsBanking University of Ho Chi Minh CityHo Chi Minh CityVietnam
  4. 4.Division of Computational Mathematics and Engineering, Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh CityVietnam

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