Abstract
In order to extend fuzzy if-then rules bases, we propose to make use of a method which has been developed for the interpolation of crisp data — the multivariate spline interpolation. Among the various possibilities of how to accomplish the necessary generalisations, we describe here the probably simplest method: We apply spline interpolation to fuzzy data which itself is approximated by vectors of a finite-dimensional real linear space.
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© 2005 Springer-Verlag Berlin Heidelberg
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Vetterlein, T. (2005). Smooth Extensions of Fuzzy If-Then Rule Bases. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_5
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DOI: https://doi.org/10.1007/3-540-31182-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22807-3
Online ISBN: 978-3-540-31182-9
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