On spline methods of approximation under L-fuzzy information

This work is closely related to our previous papers on algorithms of approximation under L-fuzzy information. In the classical theory of approximation central algorithms were worked out on the basis of usual, that is crisp splines. We describe central methods for solution of linear problems with bal...

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Bibliographic Details
Published in2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) pp. 1610 - 1614
Main Authors Asmuss, Svetlana, Sostak, Alexander
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Approximation algorithms
central algorithm of approximation
Error of approximation
Fuzzy sets
Interpolation
L-fuzzy information
L-fuzzy real number
L-fuzzy spline
Smoothing methods
Spline
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ISBN9781424473151
1424473152
ISSN1098-7584
DOI10.1109/FUZZY.2011.6007608

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Summary:This work is closely related to our previous papers on algorithms of approximation under L-fuzzy information. In the classical theory of approximation central algorithms were worked out on the basis of usual, that is crisp splines. We describe central methods for solution of linear problems with balanced L-fuzzy information and develop the concept of L-fuzzy splines.
ISBN:9781424473151
1424473152
ISSN:1098-7584
DOI:10.1109/FUZZY.2011.6007608