Abstract
This chapter focuses on application of a fuzzy similarity measure of textual records to services available within the e-commerce. Firstly, concepts for comparison of natural language words and sentences rooted in the theory of fuzzy sets, and in the concept of fuzzy relation in particular, are presented. Then, on two examples of application to the e-commerce domain, the aspect of the user-friendliness of the approach is demonstrated.
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© 2002 Springer-Verlag Berlin Heidelberg
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Niewiadomski, A., Szczepaniak, P.S. (2002). Fuzzy Similarity in E-Commerce Domains. In: Segovia, J., Szczepaniak, P.S., Niedzwiedzinski, M. (eds) E-Commerce and Intelligent Methods. Studies in Fuzziness and Soft Computing, vol 105. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1779-9_16
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DOI: https://doi.org/10.1007/978-3-7908-1779-9_16
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2514-5
Online ISBN: 978-3-7908-1779-9
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