Linear fuzzy collaborative forecasting methods

Tin-Chih Chen*, Katsuhiro Honda

*此作品的通信作者

研究成果: Chapter同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題SpringerBriefs in Applied Sciences and Technology
發行者Springer Verlag
頁面9-26
頁數18
DOIs
出版狀態Published - 1 1月 2020

出版系列

名字SpringerBriefs in Applied Sciences and Technology
ISSN(列印)2191-530X
ISSN(電子)2191-5318

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