Nadezhda Yarushkina

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The aim of this contribution is to show the opportunities of applying of fuzzy time series models to predict multiple heterogeneous time series, given at International Time Series Forecasting Competition The dataset of this competition includes 91 time series of different length, time frequencies and behaviour. In this paper the framework (algorithm) of(More)
For modeling of change of terminal server load, the approach including representation of time series of server parameters in the form of fuzzy time series is used. Further in the article the analysis of fuzzy time series is considered. The model of fuzzy tendencies is offered for terminal server traffic modeling. This model reflects change of the volume of(More)
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