Interpolation of fuzzy data by using flat end fuzzy splines | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 9، دوره 8، شماره 2، 2017، صفحه 89-97 اصل مقاله (419.72 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2017.1419.1363 | ||
| نویسندگان | ||
| Reza Ezzati* 1؛ Saeid Abbasbandy2؛ Hossein Behforooz3 | ||
| 1Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran | ||
| 2Department of Applied Mathematics, Imam Khomeini International University, Qazvin, Iran | ||
| 3Department of Mathematics, Utica College, Utica, New York, 13502, USA | ||
| چکیده | ||
| In this paper, a new set of spline functions called ``Flat End Fuzzy Spline" is defined to interpolate given fuzzy data. Some important theorems on these splines together with their existence and uniqueness properties are discussed. Then numerical examples are presented to illustrate the differences between of using our spline and other interpolations that have been studied before. | ||
| کلیدواژهها | ||
| fuzzy interpolation؛ extension principle؛ fuzzy splines | ||
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