Nonlinear 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

1 引文 斯高帕斯(Scopus)

摘要

Various nonlinear fuzzy methods have been applied to forecasting. For example, fuzzy inference systems (FISs), such as Mamdani FISs, Sugeno [or Takagi-Sugeno-Kang (TSK)] FISs and Tsukamoto FISs, are actually nonlinear fuzzy methods that have been extensively applied to short-term load.

原文English
主出版物標題SpringerBriefs in Applied Sciences and Technology
發行者Springer Verlag
頁面27-44
頁數18
DOIs
出版狀態Published - 2020

出版系列

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

指紋

深入研究「Nonlinear fuzzy collaborative forecasting methods」主題。共同形成了獨特的指紋。

引用此