Comparison of autoregressive and fuzzy models for forecasting of quotations of oil prices

The article considers the problem of forecasting oil prices. This topic is very relevant in our time, because "black gold" plays a huge role in the economy of the entire world. In the process built forecasting models of oil prices in the MS Excel environment and fuzzyTECH. Presents results, conclusions, and recommendations for improvement of models.