Interpolation of fuzzy data by using fuzzy splines

被引：14

作者：

Abbasbandy, S. ^{[1
,2
]}

Ezzati, R. ^{[3
]}

Behforooz, H. ^{[4
]}

机构：

[1] Islamic Azad Univ, Dept Math, Sci & Res Branch, Tehran 14778, Iran

[2] Imam Khomeini Int Univ, Dept Math, Ghazvin 34194, Iran

[3] Islamic Azad Univ, Dept Math, Karaj Branch, Karaj, Iran

[4] SUNY Coll Technol Utica Rome, Dept Math, Utica, NY 13502 USA

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2008年 / 16卷 / 01期

关键词：

fuzzy interpolation; fuzzy spline; extension principle; fuzzy number;

D O I：

10.1142/S0218488508005078

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we define a new set of spline functions called "Fuzzy Splines" to interpolate fuzzy data. Numerical examples will be presented to illustrate the differences between of using our spline and other interpolations that have been studied before.

引用

页码：107 / 115

页数：9

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