DocumentCode :
3643357
Title :
On spline methods of approximation under L-fuzzy information
Author :
Svetlana Asmuss;Alexander Šostak
Author_Institution :
University of Latvia, Department of Mathematics, Institute of Mathematics and Computer Science, Riga, Latvia
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1610
Lastpage :
1614
Abstract :
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.
Keywords :
"Spline","Approximation algorithms","Interpolation","Fuzzy sets","Smoothing methods"
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Type :
conf
DOI :
10.1109/FUZZY.2011.6007608
Filename :
6007608
Link To Document :
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