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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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Bibliographic Details
Main Authors:	Suriana Lasaraiya, Suzelawati Zenian
Format:	Article
Language:	English English
Published:	UniSE Press 2021
Subjects:	QA1-939 Mathematics
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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id	my.ums.eprints.33013
record_format	eprints
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
_version_	1760231105805418496
score	13.211869

Approximated solutions for fuzzy polynomials

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