Forecasting NOKIA Sale by Adaptive Neuro Fuzzy Inference Systems (ANFIS)

Sale forecasting plays a key role for each business in this competitive environment. Since the sale is dependent on many factors, the sale forecasting is not an easy job. It is difficult especially when it comes to high-tech products such as cell phone, camera and etc. For their short lifecycles, the accuracy of forecasting will decrease. However, there are some methods to increase the accuracy such as Adaptive Neuro Fuzzy Inference Systems (ANFIS) method. In this paper we forecast the sale of Nokia cell phone in Tehran based on price and camera as input variables by ANFIS method. In addition, we consider mean absolute percentage error (MAPE) as a scale to compare ANFIS with regression. By using some data from Nokia SOLICITORSHIPs in Tehran, it is seen that ANFIS method is better than regression based on the MAPE scale.

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