A short and mean-term automatic forecasting system---application to textile logistics

DOI10.1016/J.EJOR.2002.09.001zbMath1067.90011OpenAlexW2075430082MaRDI QIDQ1887795

Sébastien Thomassey, Jean Marie Castelain, Michel Happiette

Publication date: 22 November 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2002.09.001

zbMATH Keywords

ForecastingFuzzy inference systemNeuro-fuzzy modelTextile logistics

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06)

Related Items (2)

A short and mean-term automatic forecasting system---application to textile logistics ⋮ A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches

Uses Software

• ANFIS

Cites Work

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• Fuzzy Clustering, Genetic Algorithms and Neuro-Fuzzy Methods Compared for Hybrid Fuzzy-First Principles Modeling
• A method for the solution of certain non-linear problems in least squares
• A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm.

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