Demand forecast by neuro-fuzzy techniques.

This work presents the investigation project Sor the development of an expert system Sor ''Demand forecast by Neuro-Fuzzy techniques''. The target of the work is to stud?, the feasibility of using fuzzy neural networks and compare the results to the ones obtained from conventional tools. For this purpose the work is focused on the development and representation of linguistic variables to qualify the product demand. Phases Sor this work are: identification of linguistic variables in demand environment, and comparative study of real data to the forecast results by means of an Artificial Neural Network (ANN), a Fuzzy, Neural Network (FNN) and FururMaster, a tool based on Winters classic forecast method. The influence of the linguistic terms considered Sor the input/output variables is also analyzed.