Fuzzy Adaptation of the Holt-Winter Model for Textile Sales-forecasting

This paper deals with a new approach to sales-forecasting applied to textile/apparel-distribution firms. The aim is to propose a robust and non-linear forecasting model that works in an uncertain environment. To solve that problem, a fuzzy-adaptive model is proposed. It controls the weight factors o...

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Bibliographic Details
Published in:Journal of the Textile Institute 1998-01, Vol.89 (1), p.78-89
Main Authors: Vroman, P., Happiette, M., Rabenasolo, B.
Format: Article
Language:English
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Summary:This paper deals with a new approach to sales-forecasting applied to textile/apparel-distribution firms. The aim is to propose a robust and non-linear forecasting model that works in an uncertain environment. To solve that problem, a fuzzy-adaptive model is proposed. It controls the weight factors of an exponential-smoothing forecasting method, such as the Holt-Winter one. In this paper, the main fuzzy rules are identified from the behaviour analysis of forecast curves. All components of the fuzzy system are described. Lastly, the efficiency of the proposed method is evaluated, and an application in textile sales-forecasting is described.
ISSN:0040-5000
1754-2340
DOI:10.1080/00405009808658668