Abstract
Many fuzzy applications today are based on large databases that change dynamically. Particularly, in many flexible querying systems this represents a huge problem, since changing data may lead to poor results in the absence of proper retraining. In this paper we propose a novel incremental approach to represent the membership functions describing the linguistic terms for a dynamically changing database. It exploits fuzzy knowledge models previously determined in order to simplify the modelling process. Experiments testing the method’s efficiency are also reported.
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Hachani, N., Derbel, I., Ounelli, H. (2010). Incremental Membership Function Updates. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_11
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DOI: https://doi.org/10.1007/978-3-642-14058-7_11
Publisher Name: Springer, Berlin, Heidelberg
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