Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data

A numerical method along with explicit construction to interpolation of fuzzy data through the extension principle results by widely used fuzzy-valued piecewise Hermite polynomial in general case based on the cardinal basis functions, which satisfy a vanishing property on the successive intervals, h...

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Main Authors: H. Vosoughi, S. Abbasbandy
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2016/8127215
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author H. Vosoughi
S. Abbasbandy
author_facet H. Vosoughi
S. Abbasbandy
author_sort H. Vosoughi
collection DOAJ
description A numerical method along with explicit construction to interpolation of fuzzy data through the extension principle results by widely used fuzzy-valued piecewise Hermite polynomial in general case based on the cardinal basis functions, which satisfy a vanishing property on the successive intervals, has been introduced here. We have provided a numerical method in full detail using the linear space notions for calculating the presented method. In order to illustrate the method in computational examples, we take recourse to three prime cases: linear, cubic, and quintic.
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institution Kabale University
issn 1687-7101
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publishDate 2016-01-01
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series Advances in Fuzzy Systems
spelling doaj-art-c6d2277181ad40ea95161418e883f0cf2025-02-03T05:44:07ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2016-01-01201610.1155/2016/81272158127215Cardinal Basis Piecewise Hermite Interpolation on Fuzzy DataH. Vosoughi0S. Abbasbandy1Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, IranDepartment of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, IranA numerical method along with explicit construction to interpolation of fuzzy data through the extension principle results by widely used fuzzy-valued piecewise Hermite polynomial in general case based on the cardinal basis functions, which satisfy a vanishing property on the successive intervals, has been introduced here. We have provided a numerical method in full detail using the linear space notions for calculating the presented method. In order to illustrate the method in computational examples, we take recourse to three prime cases: linear, cubic, and quintic.http://dx.doi.org/10.1155/2016/8127215
spellingShingle H. Vosoughi
S. Abbasbandy
Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data
Advances in Fuzzy Systems
title Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data
title_full Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data
title_fullStr Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data
title_full_unstemmed Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data
title_short Cardinal Basis Piecewise Hermite Interpolation on Fuzzy Data
title_sort cardinal basis piecewise hermite interpolation on fuzzy data
url http://dx.doi.org/10.1155/2016/8127215
work_keys_str_mv AT hvosoughi cardinalbasispiecewisehermiteinterpolationonfuzzydata
AT sabbasbandy cardinalbasispiecewisehermiteinterpolationonfuzzydata