M.V. Artyukhov - General Director of LLC «Everest Research». E-mail: martukhov@krips-consulting.ru A.A. Romanov - Ph. D. (Eng.), Department «Information Systems», Ulyanovsk State Technical University. E-mail: romanov73@gmail.com G.Y. Guskov - Post-graduate Student, Department «Information Systems», Ulyanovsk State Technical University. E-mail: guskovgleb@gmail.com I.A. Timina - Assistant Department «Information Systems», Ulyanovsk State Technical University. E-mail: i.timina@ulstu.ru

In this paper we develop the collective of several methods of time series modeling - exponential smoothing models. We make an as-sumption that the creation of complicated methods modeling and forecasting of time series is optimal if we know all features of subject area and we able to include them in model. To improve the quality of forecasting unknown kind time series, we propose to use the aggregate results of several models. Using a fuzzy approach allows to create models with more options.

 

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