In recent years, many studies have been done on forecasting fuzzy time series. First-order fuzzy time series forecasting methods with first-order lagged variables and high-order fuzzy time series forecasting methods with consecutive lagged variables constitute the considerable part of these studies. However, these methods are not effective in forecasting fuzzy time series which contain seasonal...

This study examines the persistence and long-term correlation of monthly seasonal rainfall time series Kırşehir for period 1960-2019, with widely used Hurst exponent Detrended Fluctuation Analysis (DFA) analyses. Both DFA analyses could be to detect memory that can assessed as a reference predictability. To support results Augmented Dickey Fuller Mann-Kendall tests also applied series. Within v...

We present a case study to demonstrate a process for grouping massive multivariate time series based on nonparametric statistical summaries aided by information visualization. We want a method that allows us to quickly find approximate groups in time series, both to identify typical aggregate behaviors and to find aberrant outliers. We use simple statistical summaries to capture the temporal na...