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On some types of linguistic summaries of time series

The purpose of this paper is to propose the use of linguistic quantifiers for the linguistic summarisation of time series, notably in terms of trends. To characterize the data trends, we use three parameters: dynamics of change, duration and variability and apply to them the fuzzy linguistic summaries of data (databases) in the sense of Yager. We Introduce the two types of linguistic summaries, one based on frequency and one based on duration