Arbitrary Generalized Trapezoidal Fully Fuzzy Sylvester Matrix Equation

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引用次数: 1

Abstract

In the fuzzy literature, researchers have applied the concept of Vec-operator and Kronecker product for solving arbitrary Fuzzy Matrix Equations (FME). However, this approach is limited to positive or negative FMEs and cannot be applied to FMEs with near-zero fuzzy numbers. Therefore, this paper proposes a new analytical method for solving a family of arbitrary FMEs. The proposed method is able to solve Arbitrary Generalized Trapezoidal Fully Fuzzy Sylvester Matrix Equations (AGTrFFSME), in addition to many unrestricted FMEs such as Sylvester, Lyapunov and Stein fully fuzzy matrix equations with arbitrary triangular or trapezoidal fuzzy numbers. The proposed method thus fruitfully removes the sign restriction imposed by researchers and is, therefore, better to use in several engineering and scientific applications. The AGTrFFSME is converted to a system of non-linear equations, which is reduced using new multiplication operations between trapezoidal fuzzy numbers. The feasibility conditions are introduced to distinguish between fuzzy and non-fuzzy solutions to the AGTrFFSME.
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任意广义梯形全模糊Sylvester矩阵方程
在模糊文献中,研究人员应用向量算子和Kronecker积的概念求解任意模糊矩阵方程(FME)。然而,这种方法仅限于正的或负的fme,不能应用于模糊数接近零的fme。因此,本文提出了求解任意fme族的一种新的解析方法。除了具有任意三角形或梯形模糊数的Sylvester、Lyapunov和Stein等不受限制的全模糊矩阵方程外,该方法还可以求解任意广义梯形全模糊Sylvester矩阵方程(AGTrFFSME)。因此,所提出的方法有效地消除了研究人员施加的符号限制,因此在一些工程和科学应用中更好地使用。利用梯形模糊数之间的乘法运算,将AGTrFFSME转化为非线性方程组。引入可行性条件来区分AGTrFFSME的模糊解和非模糊解。
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来源期刊
International Journal of Fuzzy System Applications
International Journal of Fuzzy System Applications Computer Science-Computer Science (all)
CiteScore
2.40
自引率
0.00%
发文量
65
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