Numerical Method for the Solution of Algebraic Fuzzy Complex Equations

IF 1.1 Q2 MATHEMATICS, APPLIED Computational Methods for Differential Equations Pub Date : 2021-01-18 DOI:10.22034/CMDE.2021.36796.1638
Robab Fayyaz Behrouz, M. Amirfakhrian
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引用次数: 1

Abstract

In this paper, the numerical solution of an algebraic complex fuzzy equation of degree ${n}$, based on the parametric fuzzy numbers, is discussed. The unknown variable and right-hand side of the equation are considered as fuzzy complex numbers, whereas, the coefficients of the equation, are considered to be real crisp numbers. The given method is a numerical method and proposed based on the separation of the real and imaginary parts of the equation and using the parametric forms of the fuzzy numbers in the form of polynomials of degree at most ${m}$. In this case, a system of nonlinear equations achieved. To get the solutions of the system, we used the Gauss-Newton iterative method. We also very briefly explain the conjugate of the solution of such equations. Finally, the efficiency and quality of the given method are tested by applying it to some numerical examples.
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代数模糊复方程的数值解法
本文讨论了基于参数模糊数的代数复模糊方程${n}$的数值解。未知变量和方程的右侧被认为是模糊复数,而方程的系数被认为是实数。给出的方法是一种数值方法,基于方程实部和虚部的分离,并使用次数最多为${m}$的多项式形式的模糊数的参数形式提出。在这种情况下,实现了一个非线性方程组。为了得到系统的解,我们使用了高斯-牛顿迭代方法。我们还非常简要地解释了这类方程解的共轭。最后,通过算例验证了该方法的有效性和质量。
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来源期刊
CiteScore
2.20
自引率
27.30%
发文量
0
审稿时长
4 weeks
期刊最新文献
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