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A fuzzy rule interpolation technique based on bi-splines in multiple input systems

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2 Author(s)
Kawaguchi, M.F. ; Div. of Syst. & Inf. Eng., Hokkaido Univ., Sapporo, Japan ; Miyakoshi, M.

This work deals with the problem of nonlinear interpolative reasoning in a sparse fuzzy rule base with multiple input. First of all, the authors introduce a method of fuzzy rule interpolation based on bi-splines and the notion of a fuzzy interpolation function (we call it a fuzzy spline surface in the case of two-input). Then, we propose a method to construct fuzzy partitions (a new dense rule base) through such a fuzzy function, which enables us to execute any conventional approximate reasoning method for arbitrary input

Published in:

Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on  (Volume:1 )

Date of Conference:

7-10 May 2000