“…There have been a numerous studies reported on linguistic summarization based upon fuzzy sets with different approaches applied to various areas: linguistic summarization of time series, decision support systems, text categorization, reconciliation processes, human motion analysis, social networks, monitoring of internet traffic flows, fall detection, financial reports, driving and the traffic activities . Undoubtedly, one of the most important application areas of linguistic summarization is time series data mining (TSDM) with generating propositions describing trends of time series in terms of the following three aspects: duration, variability, and dynamics of change . For instance, “trends with low variability that took most of the time” is a proposition that can be obtained by linguistic summarization.…”