In current decades, a number of forecasting models based on the ideas of fuzzy time series have been put forth. These models have been widely used to address a general range of problem domains, particularly those involving forecasting when the historical data are linguistic values. The development of fuzzy time seriesand its application to coal production forecasts are presented in this study. It includes an analysis of the Standard Deviation Method along with estimates conducted to predict India's coal production. The 43 years of historical data serve as the foundation for the Fuzzy time series forecasting. Error estimates are used to analyse this model. The suggested approach is used to forecast data on coal production.