Effective intervals determined by information granules to improve forecasting in fuzzy time series

作者：

Highlights：

• Partitioning the universe of discourse into intervals with unequal length.

• Determining intervals by information granule.

• These intervals carry well-defined semantics.

• The proposed method is very robust and stable to forecast in fuzzy time series.

摘要

•Partitioning the universe of discourse into intervals with unequal length.•Determining intervals by information granule.•These intervals carry well-defined semantics.•The proposed method is very robust and stable to forecast in fuzzy time series.

论文关键词：Forecasting,Fuzzy time series,Information granule,Enrollment

论文评审过程：Available online 2 May 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.04.026