Most of the time series faced in real life are fuzzy time series and these time series have to be
forecasted by fuzzy time series forecasting methods. Therefore, there have been many studies in the
literature in which various fuzzy time series approaches are proposed. The fuzzy time series methods
introduced in the literature have been generally proposed to analyze fuzzy time series whose
observations are fuzzy sets. On the other hand, Song et al. firstly improved a fuzzy time series model to
analyze fuzzy time series whose observations are triangular fuzzy numbers [1]. Their method requires
complex arithmetic operations for triangular fuzzy numbers. We propose a novel fuzzy time series
forecasting approach based on simulation and feed forward neural networks to forecast fuzzy time
series including triangular fuzzy numbers. The proposed method is applied to gold prices in Turkey
series to show the applicability of the method.
Keywords: Artificial neural networks, Fuzzy time series, Forecasting, Gold prices in Turkey, Triangular
fuzzy number.
