Abstract
This study proposes a novel method for business forecasting based on fuzzy support vector machines regression (FSVMR). By an application on sales forecasting, details of proposed method are presented including data preprocessing, kernel selection, parameters tuning and so on. The experimental result shows the method’s validity.
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Bao, Y., Zhang, R., Crone, S.F. (2006). Fuzzy Support Vector Machines Regression for Business Forecasting: An Application. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_163
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DOI: https://doi.org/10.1007/11881599_163
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45916-3
Online ISBN: 978-3-540-45917-0
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