Companies Products Demands Forecasting using Learning Fuzzy Cellular Automata Model. Case Study: Barij Essence Pharmaceutical Company

Abstract

Forecasting the demand of customers has a main role for managing the cost of marketing. Therefore, using a tool for forecasting the demand is vital for companies. There are many tools for forecasting and predicting the demand as time series. In this study a new hybrid model which contains fuzzy inference system and cellular automata has been developed. The results showed that, considering the information of more neighbor customers may cause more reliable forecasting and more complicated, fuzzy system may cause better performance for predicting the demand.