Computational Mathematics: Solving Dual Fully Fuzzy Nonlinear Matrix Equations Numerically using Broyden’s Method

Autor: La Zakaria, Wahyu Megarani, Ahmad Faisol, Aang Nuryaman, Ulfah Muharramah
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 8, Iss 1, Pp 60-77 (2023)
Druh dokumentu: article
ISSN: 2455-7749
DOI: 10.33889/IJMEMS.2023.8.1.004
Popis: Fuzzy numbers have many applications in various mathematical models in both linear and nonlinear forms. In the form of a nonlinear system, fuzzy nonlinear equations can be constructed in the form of matrix equations. Unfortunately, the matrix equations used to solve the problem of dual fully fuzzy nonlinear systems are still relatively few found in the publication of research results. This article attempts to solve a dual fully fuzzy nonlinear equation system involving triangular fuzzy numbers using Broyden’s method. This article provides the pseudocode algorithm and the implementation of the algorithm into the MATLAB program for the iteration process to be carried out quickly and easily. The performance of the given algorithm is the fastest in finding system solutions and provides a minimum error value.
Databáze: Directory of Open Access Journals