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- W2494213612 abstract "It is well known thatGuerra, Maria Letizia smoothingSorini, Laerte is appliedStefanini, Luciano to better see patterns and underlying trends in time series. In fact, to smooth a data set means to create an approximating function that attempts to capture important features in the data, while leaving out noises. In this paper we choose, as an approximation function, the inverse fuzzy transform (introduced by Perfilieva in Fuzzy Sets Syst 157:993–1023, 2006 [3]) that is based on fuzzy partitioning of a closed real interval into fuzzy subsets. The empirical distribution we introduce can be characterized by its expectiles in a similar way as it is characterized by quantiles." @default.
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- W2494213612 date "2016-07-30" @default.
- W2494213612 modified "2023-10-12" @default.
- W2494213612 title "Time Series Modeling Based on Fuzzy Transform" @default.
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- W2494213612 doi "https://doi.org/10.1007/978-3-319-42972-4_57" @default.
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