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首页> 外文期刊>International journal of fuzzy system applications >Arbitrary Generalized Trapezoidal Fully Fuzzy Sylvester Matrix Equation
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Arbitrary Generalized Trapezoidal Fully Fuzzy Sylvester Matrix Equation

机译:任意广义梯形全模糊西尔维斯特矩阵方程

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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.
机译:在模糊文献中,研究人员应用了 Vec 算子和 Kronecker 积的概念来求解任意模糊矩阵方程 (FME)。但是,这种方法仅限于正或负 FME,不能应用于模糊数接近零的 FME。因此,本文提出了一种新的求解任意FMEs族的解析方法。该方法能够求解任意广义梯形全模糊西尔维斯特矩阵方程(AGTrFFSME),以及许多无限制的FME,如Sylvester、Lyapunov和Stein具有任意三角形或梯形模糊数的全模糊矩阵方程。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,更好地用于多种工程和科学应用。AGTrFFSME 被转换为非线性方程组,该方程组使用梯形模糊数之间的新乘法运算进行简化。介绍了区分AGTrFFSME的模糊解和非模糊解的可行性条件。

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