publication . Article . 2009

A Hybrid Model for Forecasting Sales in Turkish Paint Industry

Alp Ustundag;
Open Access English
  • Published: 01 Dec 2009 Journal: International Journal of Computational Intelligence Systems (issn: 1875-6883, Copyright policy)
  • Publisher: Atlantis Press
Abstract
Sales forecasting is important for facilitating effective and efficient allocation of scarce resources. However, how to best model and forecast sales has been a long-standing issue. There is no best forecasting method that is applicable in all circumstances. Therefore, confidence in the accuracy of sales forecasts is achieved by corroborating the results using two or more methods. This paper proposes a hybrid forecasting model that uses an artificial intelligence method (AI) with multiple linear regression (MLR) to predict product sales for the largest Turkish paint producer. In the hybrid model, three different AI methods, fuzzy rule-based system (FRBS), artifi...
Subjects
free text keywords: Electronic computers. Computer science, QA75.5-76.95, General Computer Science, Computational Mathematics, Artificial neural network, Mean squared error, Fuzzy rule, Linear regression, Neuro-fuzzy, Adaptive neuro fuzzy inference system, Machine learning, computer.software_genre, computer, Mathematics, Artificial intelligence, business.industry, business, Mean absolute percentage error, Probabilistic forecasting
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publication . Article . 2009

A Hybrid Model for Forecasting Sales in Turkish Paint Industry

Alp Ustundag;