Demand forecasting based on natural computing approaches applied to the foodstuff retail segment
Authors:
- Claudimar Pereira da VeigaClaudimar Pereira da Veiga
- Cássia Rita Pereira da VeigaCVCássia Rita Pereira da Veiga
- Weslly PuchalskiWPWeslly Puchalski
- Leandro dos Santos CoelhoLCLeandro dos Santos Coelho
- Ubiratã TortatoUTUbiratã Tortato
- 1 July 2016
- journal article
- research article
- Published by Elsevier in Journal of Retailing and Consumer Services
- Vol. 31, 174-181
Abstract
No abstract availableKeywords
Funding Information
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
This publication has 46 references indexed in Scilit:
- A high-order multi-variable Fuzzy Time Series forecasting algorithm based on fuzzy clusteringExpert Systems with Applications, 2015
- Human lower extremity joint moment prediction: A wavelet neural network approachExpert Systems with Applications, 2014
- Modeling seasonality using the fuzzy integrated logical forecasting (FILF) approachExpert Systems with Applications, 2014
- Wavelet neural networks: A practical guideNeural Networks, 2013
- Fundamentals of natural computing: an overviewPhysics of Life Reviews, 2007
- Making progress in forecastingInternational Journal of Forecasting, 2006
- Forecasting aggregate retail sales:Journal of Retailing and Consumer Services, 2001
- Constructing Fuzzy Models by Product Space Clustering1997
- Market share forecasting: An empirical comparison of artificial neural networks and multinomial logit modelJournal of Retailing, 1996
- Fuzzy logic controllers are universal approximatorsIEEE Transactions on Systems, Man, and Cybernetics, 1995