Linear fuzzy collaborative forecasting methods

Tin-Chih Chen*, Katsuhiro Honda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Verlag
Pages9-26
Number of pages18
DOIs
StatePublished - 1 Jan 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

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