Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/3563
Title: | Approximation by Max-Min Operators: a General Theory and Its Applications | Authors: | Gökçer, Yeliz Türkan Duman, Oktay |
Keywords: | Max-min operators max-product operators shepard-type operators pseudo linearity |
Publisher: | Elsevier B.V. | Source: | Gökçer, T. Y., & Duman, O. (2019). Approximation by max-min operators: A general theory and its applications. Fuzzy Sets and Systems. | Abstract: | In this study, we obtain a general approximation theorem for max-min operators including many significant applications. We also study the error estimation in this approximation by using Hölder continuous functions. The main motivation for this work is the paper by Bede et al. (2008) [12]. As a special case of our results, we explain how to approximate nonnegative continuous functions of one and two variables by means of the max-min Shepard operators. We also study the approximation by the max-min Bernstein operators. Furthermore, to verify the theory we display graphical illustrations. | URI: | https://hdl.handle.net/20.500.11851/3563 https://www.sciencedirect.com/science/article/pii/S0165011419305020?via%3Dihub |
ISSN: | 01650114 |
Appears in Collections: | Matematik Bölümü / Department of Mathematics Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
4
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
13
checked on Dec 21, 2024
Page view(s)
100
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.