Analysis of seasonal time series using fuzzy approach

A new methodology for the analysis and forecasting of time series is proposed. It directly employs two soft computing techniques: the fuzzy transform and the perception-based logical deduction. Thanks to the use of both these methods, and to the innovative approach, consisting of the construction of...

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Bibliographic Details
Published in:International journal of general systems 2010-04, Vol.39 (3), p.305-328
Main Authors: Novák, Vilém, Štěpnička, Martin, Dvořák, Antonín, Perfilieva, Irina, Pavliska, Viktor, Vavříčková, Lenka
Format: Article
Language:English
Subjects:
Fuzzy logic
fuzzy partition
fuzzy transform
Methods
perception-based logical deduction
Time series
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Summary:A new methodology for the analysis and forecasting of time series is proposed. It directly employs two soft computing techniques: the fuzzy transform and the perception-based logical deduction. Thanks to the use of both these methods, and to the innovative approach, consisting of the construction of several independent models, the methodology is successfully applicable to robust long-time predictions.
ISSN:0308-1079
1563-5104
DOI:10.1080/03081070903552965