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
fDate :
6/1/2011 12:00:00 AM
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"
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Print_ISBN :
978-1-4244-7315-1
DOI :
10.1109/FUZZY.2011.6007608