Approximated solutions for fuzzy polynomials

Polynomials plays a major role in various fields such as mathematics, statistics, engineering and social science. By using the properties of triangular membership functions, we apply the learning algorithm of fuzzy neural network to solve the fuzzy polynomial equation.

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Main Authors: Suriana Lasaraiya, Suzelawati Zenian
Format: Article
Language:English
English
Published: UniSE Press 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/33013/2/Approximated%20solutions%20for%20fuzzy%20polynomials.pdf
https://eprints.ums.edu.my/id/eprint/33013/1/Approximated%20solutions%20for%20fuzzy%20polynomials%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/33013/
http://tost.unise.org/pdfs/vol8/no3-3/ToST-CoFA2020-539-544-OA.pdf
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Institution: Universiti Malaysia Sabah
Language: English
English
id my.ums.eprints.33013
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spelling my.ums.eprints.330132022-07-08T08:33:13Z https://eprints.ums.edu.my/id/eprint/33013/ Approximated solutions for fuzzy polynomials Suriana Lasaraiya Suzelawati Zenian QA1-939 Mathematics Polynomials plays a major role in various fields such as mathematics, statistics, engineering and social science. By using the properties of triangular membership functions, we apply the learning algorithm of fuzzy neural network to solve the fuzzy polynomial equation. UniSE Press 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/33013/2/Approximated%20solutions%20for%20fuzzy%20polynomials.pdf text en https://eprints.ums.edu.my/id/eprint/33013/1/Approximated%20solutions%20for%20fuzzy%20polynomials%20_ABSTRACT.pdf Suriana Lasaraiya and Suzelawati Zenian (2021) Approximated solutions for fuzzy polynomials. Transactions on Science and Technology, 8 (3). 539 -544. ISSN 2289-8786 http://tost.unise.org/pdfs/vol8/no3-3/ToST-CoFA2020-539-544-OA.pdf
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA1-939 Mathematics
spellingShingle QA1-939 Mathematics
Suriana Lasaraiya
Suzelawati Zenian
Approximated solutions for fuzzy polynomials
description Polynomials plays a major role in various fields such as mathematics, statistics, engineering and social science. By using the properties of triangular membership functions, we apply the learning algorithm of fuzzy neural network to solve the fuzzy polynomial equation.
format Article
author Suriana Lasaraiya
Suzelawati Zenian
author_facet Suriana Lasaraiya
Suzelawati Zenian
author_sort Suriana Lasaraiya
title Approximated solutions for fuzzy polynomials
title_short Approximated solutions for fuzzy polynomials
title_full Approximated solutions for fuzzy polynomials
title_fullStr Approximated solutions for fuzzy polynomials
title_full_unstemmed Approximated solutions for fuzzy polynomials
title_sort approximated solutions for fuzzy polynomials
publisher UniSE Press
publishDate 2021
url https://eprints.ums.edu.my/id/eprint/33013/2/Approximated%20solutions%20for%20fuzzy%20polynomials.pdf
https://eprints.ums.edu.my/id/eprint/33013/1/Approximated%20solutions%20for%20fuzzy%20polynomials%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/33013/
http://tost.unise.org/pdfs/vol8/no3-3/ToST-CoFA2020-539-544-OA.pdf
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