A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model

This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF). There are two major superiorities of FCRMF in comparison with existing fuzzy time series model based on fuzzy clustering. The first one is that FCRMF partitions data set by taking into a...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 20; H. 6; S. 1872 - 1887
1. Verfasser:	Güler Dincer, Nevin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2018 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Clustering Computational Intelligence Data points Engineering Forecasting Fuzzy sets Goodness of fit Management Science Methods Operations Research Performance evaluation Production methods Regression models Statistical analysis Time series Universe Fuzzy time series Fuzzy clustering Fuzzy C-Regression Model Forecasting Time series
ISSN:	1562-2479, 2199-3211
Online-Zugang:	Volltext
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