Demand forecast by neuro-fuzzy techniques

Author

Escoda, I. ; Ortega, A. ; Sanz, A. ; Herms, A.

Author_Institution

Dept. de Fisica Aplicada i Electron., Barcelona Univ., Spain

Volume

3

fYear

1997

fDate

1-5 Jul 1997

Firstpage

1381

Abstract

This work presents the project for the development of an expert system for “demand forecast by neuro-fuzzy techniques”. The aim of the work is to study 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. The topics studied include: identification of linguistic variables in demand environment, and a comparative study of real data to the forecast results by means of an artificial neural network, a fuzzy neural network and FuturMaster (a tool based on Winters classic forecast method). The influence of the linguistic terms considered for the input/output variables is also analyzed

Keywords

computational linguistics; expert systems; fuzzy logic; fuzzy neural nets; manufacturing data processing; marketing; marketing data processing; FuturMaster; demand forecast; expert system; fuzzy logic; fuzzy neural networks; linguistic variables; marketing; product demand; production control; Artificial neural networks; Demand forecasting; Economic forecasting; Environmental economics; Expert systems; Fuzzy logic; Fuzzy neural networks; Laboratories; Marketing and sales; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.619745

Filename

619745