Regular summability methods in the approximation by max-min operators

Gokcer Turkan Yeliz; Duman Oktay

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Regular summability methods in the approximation by max-min operators

机译：Regular summability methods in the approximation by max-min operators

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摘要

In this paper, by using nonnegative regular summability methods we improve and generalize the approximation properties of max-min operators which have been investigated systematically in our recent paper published in 2020 in this journal. We also discuss the rate of convergence in the approximation. Applications and concluding remarks at the end of the paper explain why we need such summability methods. (c) 2021 Elsevier B.V. All rights reserved.

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来源
《Fuzzy sets and systems》 |2022年第15期|106-120|共15页
作者
Gokcer Turkan Yeliz; Duman Oktay;
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作者单位

TOBB Univ Econ & Technol, Fac Arts & Sci, Dept Math, TR-06530 Ankara, Turkey;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Max-min operations; Max-min Shepard operators; Pseudo-linearity; Quasiconcave function; Regular summability methods; Cesaro summability; Almost convergence;

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Regular summability methods in the approximation by max-min operators

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