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Linear Fuzzy Collaborative Forecasting Methods

  • Tin-Chih Toly Chen
  • Katsuhiro Honda
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

Linear methods have been widely applied to forecasting. Prevalent linear forecasting methods include moving average, exponential smoothing, linear regression (LR), autoregressive integrated moving average (ARIMA), and others. Fuzzifying the parameters of a linear forecasting method changes it to a linear fuzzy forecasting method.

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Tin-Chih Toly Chen
    • 1
  • Katsuhiro Honda
    • 2
  1. 1.Department of Industrial Engineering and ManagementNational Chiao Tung UniversityHsinchuTaiwan
  2. 2.Graduate School of EngineeringOsaka Prefecture UniversitySakaiJapan

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