3D fuzzy data approximation by fuzzy smoothing bicubic splines

被引：1
|
作者：
Gonzalez, P. [1 ]
Idais, H. [1 ]
Pasadas, M. [1 ]
Yasin, M. [1 ]
机构：
[1] Univ Granada, Dept Appl Math, E-18071 Granada, Spain
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2019年 / 164卷
关键词：
Fuzzy data; Approximation theory; Smoothing splines; Variational methods; Bicubic splines; INTERPOLATION; NUMBERS;
D O I：
10.1016/j.matcom.2018.10.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Function approximation and interpolation are major and important problems in various scientific fields. In this work we present an approximation method of fuzzy data defined at a 3D fuzzy data set. We define a fuzzy smoothing bicubic spline approximation for a given fuzzy data set and we estimate the approximation error using similarity measures of fuzzy numbers. Examples are given to test the goodness of the method and compare the behavior of the indices proposed for different configurations of the fuzzy smoothing bicubic spline. Finally, some conclusions of the presented method are briefly discussed. (C) 2018 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：94 / 102
页数：9
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