Approximated solutions for fuzzy polynomials

dc.contributor.author	Lasaraiya, Suriana
dc.contributor.author	zenian, suzelawati
dc.date.accessioned	2021-09-07T07:46:58Z
dc.date.available	2021-09-07T07:46:58Z
dc.date.issued	2021-08-16
dc.identifier.uri	http://oer.ums.edu.my/handle/oer_source_files/1593
dc.description.abstract	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. The learning algorithm is including the fuzzy coefficient A_i where i=1,2,3 and fuzzy output of A_0. In this paper, we are interested in finding solutions for polynomial like A_1x+A_2x^2+A_3x^3=A_0 for x are all real number where A_0, A_1, A_2 and A_3 are fuzzy numbers.	en_US
dc.language.iso	en_US	en_US
dc.subject	fuzzy	en_US
dc.subject	polynomials	en_US
dc.subject	triangular	en_US
dc.subject	fuzzy number	en_US
dc.subject	membership function	en_US
dc.title	Approximated solutions for fuzzy polynomials	en_US
dc.type	Presentation	en_US
dc.type	Video	en_US
dc.resources.url	https://www.youtube.com/watch?v=jYsV61Fd0Ig	en_US