Modeling seasonality using the fuzzy integrated logical forecasting (FILF) approach

作者：

Highlights：

• The seasonal FILF (SFILF) model is proposed to improve accuracy of fuzzy time series by considering seasonal influence on time series.

• The SFILF model is tested against the existing FTS models and also the conventional econometric methods in the literature.

• The histogram damping partition is used to define the initial length of intervals for the fuzzy C-means clustering method.

摘要

•The seasonal FILF (SFILF) model is proposed to improve accuracy of fuzzy time series by considering seasonal influence on time series.•The SFILF model is tested against the existing FTS models and also the conventional econometric methods in the literature.•The histogram damping partition is used to define the initial length of intervals for the fuzzy C-means clustering method.

论文关键词：Seasonal fuzzy integrated logical forecasting,Histogram damping partition (HDP),Seasonality,Vessel traffic volume

论文评审过程：Available online 31 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.079