Nonlinear fuzzy collaborative forecasting methods

Tin-Chih Chen*, Katsuhiro Honda

*Corresponding author for this work

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

Abstract

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.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Verlag
Pages27-44
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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