A Forecasting Model Intuitionistic Fuzzy Time Series Using Distribution Ratio-Based

Time series forecasting modeling is an area of intensive research and development. Currently, the application of fuzzy logic to time series forecasting models has received a lot of attention and improvement. At present, the intuitionistic fuzzy time series model is not only a new aspect but also shows its outstanding forecast efficiency when considering non-determinism. In this paper, we propose a modified model to forecast intuitionistic fuzzy time series is proposed based on the optimization of discretization by the optimal ratio, then the distribution algorithm is used to determine the optimal ratio. The results of proposed model were compared with existing methods and showed better forecasted results.