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: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
UniSE Press
2021
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| 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 |
Internet
https://eprints.ums.edu.my/id/eprint/33013/2/Approximated%20solutions%20for%20fuzzy%20polynomials.pdfhttps://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