Referenced Items are not available for this document.
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
- Page(s):
- 488 - 492 vol.1
- Meeting Date :
- 07 May 2000-10 May 2000
- ISSN :
- 1098-7584
- Print ISBN:
- 0-7803-5877-5
- INSPEC Accession Number:
- 6622950
- Conference Location :
- San Antonio, TX
- Digital Object Identifier :
- 10.1109/FUZZY.2000.838708
- Product Type:
- Conference Publications
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