A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis

@article{Efendigil2009ADS,
  title={A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis},
  author={Tugba Efendigil and Semih {\"O}n{\"u}t and Cengiz Kahraman},
  journal={Expert Syst. Appl.},
  year={2009},
  volume={36},
  pages={6697-6707}
}
An organization has to make the right decisions in time depending on demand information to enhance the commercial competitive advantage in a constantly fluctuating business environment. Therefore, estimating the demand quantity for the next period most likely appears to be crucial. This work presents a comparative forecasting methodology regarding to uncertain customer demands in a multi-level supply chain (SC) structure via neural techniques. The objective of the paper is to propose a new… CONTINUE READING
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